Stop the war!Остановите войну!
for scientists:
default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDShahadat Uddin
Mohammed Shahadat Uddin
Person information
- affiliation: University of Sydney, Centre for Complex Systems Research, NSW, Australia
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
showing all ?? records
Journal Articles
- 2024
[j49]Haohui Lu, Shahadat Uddin:
A parameterised model for link prediction using node centrality and similarity measure based on graph embedding. Neurocomputing 593: 127820 (2024)- 2023
- [j48]Taima Rahman Mim
, Maliha Amatullah, Sadia Afreen, Mohammad Abu Yousuf, Shahadat Uddin, Salem A. Alyami, Khondokar Fida Hasan, Mohammad Ali Moni:
GRU-INC: An inception-attention based approach using GRU for human activity recognition. Expert Syst. Appl. 216: 119419 (2023) - [j47]Alireza Tavakolian, Alireza Rezaee, Farshid Hajati, Shahadat Uddin:
Hospital Readmission and Length-of-Stay Prediction Using an Optimized Hybrid Deep Model. Future Internet 15(9): 304 (2023) - [j46]Haohui Lu, Shahadat Uddin:
Embedding-based link predictions to explore latent comorbidity of chronic diseases. Health Inf. Sci. Syst. 11(1): 2 (2023) - [j45]Shahadat Uddin, Arif Khan, Haohui Lu:
Impact of COVID-19 on Journal Impact Factor. J. Informetrics 17(4): 101458 (2023) - [j44]Md. Shofiqul Islam, Khondokar Fida Hasan, Sunjida Sultana, Shahadat Uddin, Pietro Lio', Julian M. W. Quinn, Mohammad Ali Moni:
HARDC : A novel ECG-based heartbeat classification method to detect arrhythmia using hierarchical attention based dual structured RNN with dilated CNN. Neural Networks 162: 271-287 (2023) - 2022
- [j43]Haohui Lu, Shahadat Uddin, Farshid Hajati, Mohammad Ali Moni, Matloob Khushi:
A patient network-based machine learning model for disease prediction: The case of type 2 diabetes mellitus. Appl. Intell. 52(3): 2411-2422 (2022) - [j42]Haohui Lu, Shahadat Uddin:
A disease network-based recommender system framework for predictive risk modelling of chronic diseases and their comorbidities. Appl. Intell. 52(9): 10330-10340 (2022) - [j41]Alireza Tavakolian, Farshid Hajati, Alireza Rezaee, Amirhossein Oliaei Fasakhodi, Shahadat Uddin:
Fast COVID-19 versus H1N1 screening using Optimized Parallel Inception. Expert Syst. Appl. 204: 117551 (2022) - [j40]Shahadat Uddin, Shangzhou Wang, Haohui Lu, Arif Khan, Farshid Hajati, Matloob Khushi:
Comorbidity and multimorbidity prediction of major chronic diseases using machine learning and network analytics. Expert Syst. Appl. 205: 117761 (2022) - [j39]Haohui Lu, Shahadat Uddin:
Explainable Stacking-Based Model for Predicting Hospital Readmission for Diabetic Patients. Inf. 13(9): 436 (2022) - [j38]Alireza Tavakolian, Farshid Hajati, Alireza Rezaee, Amirhossein Oliaei Fasakhodi, Shahadat Uddin:
Source Code for Optimized Parallel Inception: A Fast COVID-19 Screening Software. Softw. Impacts 13: 100337 (2022) - [j37]Shangzhou Wang, Haohui Lu, Arif Khan, Farshid Hajati, Matloob Khushi, Shahadat Uddin:
A machine learning software tool for multiclass classification. Softw. Impacts 13: 100383 (2022) - 2021
- [j36]Md. Rabiul Islam, Mohammad Ali Moni, Md. Milon Islam, Md Rashed-Al-Mahfuz, Md. Saiful Islam, Md. Kamrul Hasan, Md. Sabir Hossain, Mohiuddin Ahmad, Shahadat Uddin, A. K. M. Azad, Salem A. Alyami, Md. Atiqur Rahman Ahad, Pietro Lió:
Emotion Recognition From EEG Signal Focusing on Deep Learning and Shallow Learning Techniques. IEEE Access 9: 94601-94624 (2021) - [j35]Matloob Khushi, Kamran Shaukat, Talha Mahboob Alam, Ibrahim A. Hameed, Shahadat Uddin, Suhuai Luo, Xiaoyan Yang, Maranatha Consuelo Reyes:
A Comparative Performance Analysis of Data Resampling Methods on Imbalance Medical Data. IEEE Access 9: 109960-109975 (2021) - [j34]Md. Jakir Hossain, Utpala Nanda Chowdhury, M. Babul Islam, Shahadat Uddin, Mohammad Boshir Ahmed, Julian M. W. Quinn, Mohammad Ali Moni:
Machine learning and network-based models to identify genetic risk factors to the progression and survival of colorectal cancer. Comput. Biol. Medicine 135: 104539 (2021) - [j33]M. Babul Islam, Utpala Nanda Chowdhury, Zulkar Nain, Shahadat Uddin, Mohammad Boshir Ahmed, Mohammad Ali Moni:
Identifying molecular insight of synergistic complexities for SARS-CoV-2 infection with pre-existing type 2 diabetes. Comput. Biol. Medicine 136: 104668 (2021) - [j32]Khabir Uddin Ahamed, Manowarul Islam, Ashraf Uddin, Arnisha Akhter, Bikash Kumar Paul, Mohammad Abu Yousuf, Shahadat Uddin, Julian M. W. Quinn, Mohammad Ali Moni:
A deep learning approach using effective preprocessing techniques to detect COVID-19 from chest CT-scan and X-ray images. Comput. Biol. Medicine 139: 105014 (2021) - [j31]Md Ekramul Hossain, Shahadat Uddin, Arif Khan:
Network analytics and machine learning for predictive risk modelling of cardiovascular disease in patients with type 2 diabetes. Expert Syst. Appl. 164: 113918 (2021) - [j30]Md. Shahriare Satu, Md. Imran Khan, Mufti Mahmud, Shahadat Uddin, Matthew A. Summers, Julian M. W. Quinn, Mohammad Ali Moni:
TClustVID: A novel machine learning classification model to investigate topics and sentiment in COVID-19 tweets. Knowl. Based Syst. 226: 107126 (2021) - [j29]Shahadat Uddin, Tasadduq Imam, Mohammad Mozumdar:
Research interdisciplinarity: STEM versus non-STEM. Scientometrics 126(1): 603-618 (2021) - [j28]Md Ekramul Hossain, Arif Khan, Mohammad Ali Moni, Shahadat Uddin:
Use of Electronic Health Data for Disease Prediction: A Comprehensive Literature Review. IEEE ACM Trans. Comput. Biol. Bioinform. 18(2): 745-758 (2021) - 2020
- [j27]Md. Martuza Ahamad, Sakifa Aktar, Md Rashed-Al-Mahfuz, Shahadat Uddin, Pietro Liò, Haoming Xu, Matthew A. Summers, Julian M. W. Quinn, Mohammad Ali Moni:
A machine learning model to identify early stage symptoms of SARS-Cov-2 infected patients. Expert Syst. Appl. 160: 113661 (2020) - 2019
- [j26]Shahadat Uddin, Nazim Choudhury:
Actor-Level Dynamicity: Its Distribution Analysis Eases Anomaly Detection in Longitudinal Networks. IEEE Access 7: 69422-69433 (2019) - [j25]Tania Akter, Md. Shahriare Satu, Md. Imran Khan, Mohammad Hanif Ali, Shahadat Uddin, Pietro Lió, Julian M. W. Quinn, Mohammad Ali Moni:
Machine Learning-Based Models for Early Stage Detection of Autism Spectrum Disorders. IEEE Access 7: 166509-166527 (2019) - [j24]Md. Habibur Rahman, Silong Peng, Xiyuan Hu, Chen Chen, Shahadat Uddin, Julian M. W. Quinn, Mohammad Ali Moni:
Bioinformatics Methodologies to Identify Interactions Between Type 2 Diabetes and Neurological Comorbidities. IEEE Access 7: 183948-183970 (2019) - [j23]Arif Khan, Shahadat Uddin, Uma Srinivasan:
Chronic disease prediction using administrative data and graph theory: The case of type 2 diabetes. Expert Syst. Appl. 136: 230-241 (2019) - [j22]Shahadat Uddin, Arif Khan, Md Ekramul Hossain, Mohammad Ali Moni:
Comparing different supervised machine learning algorithms for disease prediction. BMC Medical Informatics Decis. Mak. 19(1): 281 (2019) - [j21]Arif Khan, Nazim Choudhury, Shahadat Uddin:
Few research fields play major role in interdisciplinary grant success. Scientometrics 119(1): 237-246 (2019) - [j20]Shahadat Uddin, Nazim Choudhury, Md Ekramul Hossain:
A research framework to explore knowledge evolution and scholarly quantification of collaborative research. Scientometrics 119(2): 789-803 (2019) - 2018
- [j19]Shahadat Uddin, Md Ekramul Hossain, Arif Khan:
Triad Census and Subgroup Analysis of Patient-Sharing Physician Collaborations. IEEE Access 6: 72233-72240 (2018) - [j18]Arif Khan, Shahadat Uddin, Uma Srinivasan:
Comorbidity network for chronic disease: A novel approach to understand type 2 diabetes progression. Int. J. Medical Informatics 115: 1-9 (2018) - 2016
- [j17]Shahadat Uddin, Arif Khan, Mahendra Piraveenan:
A set of measures to quantify the dynamicity of longitudinal social networks. Complex. 21(6): 309-320 (2016) - [j16]Dharshana Kasthurirathna, Mahendra Piraveenan, Shahadat Uddin:
Modeling networked systems using the topologically distributed bounded rationality framework. Complex. 21(S2): 123-137 (2016) - [j15]Shahadat Uddin, Arif Khan:
The impact of author-selected keywords on citation counts. J. Informetrics 10(4): 1166-1177 (2016) - [j14]Nazim Choudhury, Shahadat Uddin:
Time-aware link prediction to explore network effects on temporal knowledge evolution. Scientometrics 108(2): 745-776 (2016) - 2015
- [j13]Shahadat Uddin, Arif Khan, Liaquat Hossain, Mahendra Piraveenan, Sven A. Carlsson:
A topological framework to explore longitudinal social networks. Comput. Math. Organ. Theory 21(1): 48-68 (2015) - [j12]Dharshana Kasthurirathna, Mahendra Piraveenan, Shahadat Uddin:
Evolutionary Stable Strategies In Networked Games: The Influence Of Topology. J. Artif. Intell. Soft Comput. Res. 5(2): 83 (2015) - 2014
- [j11]Shahadat Uddin, Kate Thompson, Beat Schwendimann, Mahendra Piraveenan:
The impact of study load on the dynamics of longitudinal email communications among students. Comput. Educ. 72: 209-219 (2014) - [j10]Shahadat Uddin, Liaquat Hossain, Rolf T. Wigand:
New Direction in Degree Centrality Measure: Towards a Time-Variant Approach. Int. J. Inf. Technol. Decis. Mak. 13(4): 865- (2014) - [j9]Gnana Thedchanamoorthy, Mahendra Piraveenan, Shahadat Uddin, Upul Senanayake:
Influence of vaccination strategies and topology on the herd immunity of complex networks. Soc. Netw. Anal. Min. 4(1): 213 (2014) - 2013
- [j8]Shahadat Uddin, Michael J. Jacobson:
Dynamics of email communications among university students throughout a semester. Comput. Educ. 64: 95-103 (2013) - [j7]Shahadat Uddin, Jafar Hamra, Liaquat Hossain:
Exploring communication networks to understand organizational crisis using exponential random graph models. Comput. Math. Organ. Theory 19(1): 25-41 (2013) - [j6]Liaquat Hossain, Shahriar Tanvir Hasan Murshed, Shahadat Uddin:
Communication network dynamics during organizational crisis. J. Informetrics 7(1): 16-35 (2013) - [j5]Mahendra Piraveenan, Gnana Thedchanamoorthy, Shahadat Uddin, Kon Shing Kenneth Chung:
Quantifying topological robustness of networks under sustained targeted attacks. Soc. Netw. Anal. Min. 3(4): 939-952 (2013) - 2012
- [j4]Shahadat Uddin, Liaquat Hossain, Alireza Abbasi, Kim J. R. Rasmussen:
Trend and efficiency analysis of co-authorship network. Scientometrics 90(2): 687-699 (2012) - 2011
- [j3]Shahadat Uddin, Liaquat Hossain, Shahriar Tanvir Hasan Murshed, John W. Crawford:
Static versus dynamic topology of complex communications network during organizational crisis. Complex. 16(5): 27-36 (2011) - [j2]Liaquat Hossain, S. Khalili, Shahadat Uddin:
Inter-Organizational Coordination Dynamics during Crisis. J. Decis. Syst. 20(4): 383-396 (2011) - [j1]Alireza Abbasi, Liaquat Hossain, Shahadat Uddin, Kim J. R. Rasmussen:
Evolutionary dynamics of scientific collaboration networks: multi-levels and cross-time analysis. Scientometrics 89(2): 687-710 (2011)
Conference and Workshop Papers
- 2024
- [c35]Fangyu Zhou, Shahadat Uddin:
Fusion of Graph and Natural Language Processing in Predictive Analytics for Adverse Drug Reactions. ACSW 2024: 65-68 - 2023
- [c34]Fangyu Zhou, Shahadat Uddin:
Mining adverse drug events from patients' disease histories via a GNN-based subgraph prediction method. ACSW 2023: 227-230 - [c33]Fangyu Zhou, Shahadat Uddin:
How could a weighted drug-drug network help improve adverse drug reaction predictions? Machine learning reveals the importance of edge weights. ACSW 2023: 231-233 - [c32]Haohui Lu, Shahadat Uddin:
KNN-Based Patient Network and Ensemble Machine Learning for Disease Prediction. HIS 2023: 296-305 - 2022
- [c31]Haohui Lu, Shahadat Uddin, Farshid Hajati, Matloob Khushi, Mohammad Ali Moni:
Predictive risk modelling in mental health issues using machine learning on graphs. ACSW 2022: 168-175 - [c30]Shakir Karim, Shahadat Uddin:
Analysis of patient-sharing provider network in Macarthur region, New South Wales, Australia using administrative claim data. ACSW 2022: 207-215 - 2021
- [c29]Shahadat Uddin, Tasadduq Imam, Mohammad Ali Moni:
The implementation of public health and economic measures during the first wave of COVID-19 by different countries with respect to time, infection rate and death rate. ACSW 2021: 16:1-16:8 - [c28]Jackson Zhou, Matloob Khushi, Mohammad Ali Moni, Shahadat Uddin, Simon K. Poon:
Lung Cancer Prediction Using Curriculum Learning Based Deep Neural Networks. ICDH 2021: 11-18 - [c27]Andrew Lee, Matloob Khushi, Patrick Hao, Shahadat Uddin, Simon K. Poon:
Grading Diabetic Retinopathy Severity Using Modern Convolution Neural Networks (CNN). ICDH 2021: 19-26 - 2019
- [c26]Md Ekramul Hossain, Arif Khan, Shahadat Uddin:
Understanding the Comorbidity of Multiple Chronic Diseases Using a Network Approach. ACSW 2019: 26:1-26:7 - [c25]Arif Khan, Uma Srinivasan, Shahadat Uddin:
Development and exploration of polymedication network from Pharmaceutical and Medicare Benefits Scheme data. ACSW 2019: 34:1-34:6 - [c24]Md Ekramul Hossain, Arif Khan, Shahadat Uddin:
Understanding the Progression of Congestive Heart Failure of Type 2 Diabetes Patient Using Disease Network and Hospital Claim Data. COMPLEX NETWORKS (2) 2019: 774-788 - 2017
- [c23]Arif Khan, Shahadat Uddin, Uma Srinivasan:
Understanding chronic disease comorbidities from baseline networks: knowledge discovery utilising administrative healthcare data. ACSW 2017: 57:1-57:9 - [c22]Nazim Choudhury, Shahadat Uddin:
Mining Actor-level Structural and Neighborhood Evolution for Link Prediction in Dynamic Networks. ASONAM 2017: 721-728 - [c21]Mohiuddin Ahmed, Nazim Choudhury, Shahadat Uddin:
Anomaly Detection on Big Data in Financial Markets. ASONAM 2017: 998-1001 - [c20]Nazim Choudhury, Shahadat Uddin:
Evolutionary Community Mining for Link Prediction in Dynamic Networks. COMPLEX NETWORKS 2017: 127-138 - 2016
- [c19]Arif Khan, Shahadat Uddin, Uma Srinivasan:
Adapting graph theory and social network measures on healthcare data: a new framework to understand chronic disease progression. ACSW 2016: 66 - 2015
- [c18]Shahadat Uddin, Arif Khan, Mahendra Piraveenan:
Administrative Claim Data to Learn about Effective Healthcare Collaboration and Coordination through Social Network. HICSS 2015: 3105-3114 - 2014
- [c17]Fei Wang, Uma Srinivasan, Shahadat Uddin, Sanjay Chawla:
Application of network analysis on healthcare. ASONAM 2014: 596-603 - [c16]Dharshana Kasthurirathna, Harrison Nguyen, Mahendra Piraveenan, Shahadat Uddin, Upul Senanayake:
Optimisation of strategy placements for public good in complex networks. SocialCom 2014: 1:1-1:8 - [c15]Dharshana Kasthurirathna, Harrison Nguyen, Mahendra Piraveenan, Shahadat Uddin, Upul Senanayake:
Optimisation of strategy placements for public good in complex networks. SocialCom 2014: 17:1-17:2 - 2013
- [c14]Mahendra Piraveenan, Shahadat Uddin, Kon Shing Kenneth Chung, Dharshana Kasthurirathna:
Quantifying encircling behaviour in complex networks. CICS 2013: 9-14 - [c13]Kon Shing Kenneth Chung, Mahendra Piraveenan, Andrew Vakarau Levula, Shahadat Uddin:
Assessing Online Community-Building through Assortativity, Density and Centralization in Social Networks. HICSS 2013: 1993-2002 - [c12]Shahadat Uddin, Mahendra Piraveenan, Kon Shing Kenneth Chung, Liaquat Hossain:
Topological Analysis of Longitudinal Networks. HICSS 2013: 3931-3940 - [c11]Mahendra Piraveenan, Shahadat Uddin, Gnana Thedchanamoorthy:
Effect of Vaccination Strategies on the Herd Immunity of Growing Networks. SocialCom 2013: 288-294 - [c10]Shahadat Uddin, Mahendra Piraveenan, Arif Khan, Babak Amiri:
Conceptual Quantification of the Dynamicity of Longitudinal Social Networks. SocialCom 2013: 868-873 - 2012
- [c9]Piraveenan Mahendra, Shahadat Uddin, Kon Shing Kenneth Chung:
Measuring Topological Robustness of Networks under Sustained Targeted Attacks. ASONAM 2012: 38-45 - [c8]Kon Shing Kenneth Chung, Piraveenan Mahendra, Shahadat Uddin:
Community Evolution and Engagement through Assortative Mixing in Online Social Networks. ASONAM 2012: 724-725 - [c7]Shahadat Uddin, Kon Shing Kenneth Chung, Mahendra Piraveenan:
Capturing Actor-level Dynamics of Longitudinal Networks. ASONAM 2012: 1006-1011 - [c6]Shahadat Uddin, Simon Reay Atkinson, Liaquat Hossain:
New Directions in the Analysis of Social Network Dynamics. KDIR 2012: 269-274 - 2011
- [c5]Shahadat Uddin, Liaquat Hossain:
Time Scale Degree Centrality: A Time-Variant Approach to Degree Centrality Measures. ASONAM 2011: 520-524 - [c4]Jafar Hamra, Shahadat Uddin, Liaquat Hossain:
Exponential random graph modeling of communication networks to understand organizational crisis. CPR 2011: 71-78 - 2010
- [c3]Shahriar Tanvir Hasan Murshed, Shahadat Uddin, Liaquat Hossain:
Understanding Communication Network Cohesiveness during Organizational Crisis: Effects of Clique and Transitivity. ICIS 2010: 81 - [c2]Mohammed Shahadat Uddin, Shahriar Tanvir Hasan Murshed, Liaquat Hossain:
Towards A Scale Free Network Approach to Study Organizational Communication Network. PACIS 2010: 196 - 2009
- [c1]Mohammed Shahadat Uddin, Liaquat Hossain:
Towards Coordination Preparedness of Soft-Target Organisation. EGOV 2009: 54-64
Reference Works
- 2018
- [r1]Shahadat Uddin, Nazim Choudhury, Mahendra Piraveenan, Kon Shing Kenneth Chung:
Exploring Actor-Level Dynamics in Longitudinal Networks: The State of the Art. Encyclopedia of Social Network Analysis and Mining. 2nd Ed. 2018
Informal and Other Publications
- 2023
- [i9]Md. Shofiqul Islam, Khondokar Fida Hasan, Sunjida Sultana, Shahadat Uddin, Pietro Liò, Julian M. W. Quinn, Mohammad Ali Moni:
HARDC : A novel ECG-based heartbeat classification method to detect arrhythmia using hierarchical attention based dual structured RNN with dilated CNN. CoRR abs/2303.06020 (2023) - [i8]Haohui Lu, Shahadat Uddin:
A parameterised model for link prediction using node centrality and similarity measure based on graph embedding. CoRR abs/2309.05434 (2023) - 2020
- [i7]Sakifa Aktar, Md. Martuza Ahamad, Md Rashed-Al-Mahfuz, A. K. M. Azad, Shahadat Uddin, A. H. M. Kamal, Salem A. Alyami, Ping-I Lin, Sheikh Mohammed Shariful Islam, Julian M. W. Quinn, Valsamma Eapen, Mohammad Ali Moni:
Predicting Patient COVID-19 Disease Severity by means of Statistical and Machine Learning Analysis of Blood Cell Transcriptome Data. CoRR abs/2011.10657 (2020) - 2015
- [i6]Dharshana Kasthurirathna, Mahendra Piraveenan, Shahadat Uddin:
Evolutionary stable strategies in networked games: the influence of topology. CoRR abs/1503.06273 (2015) - [i5]Liaquat Hossain, Rolf T. Wigand, Shahadat Uddin:
Statistical Network Topology for Crisis Informetrics. CoRR abs/1503.08265 (2015) - [i4]Shahadat Uddin, Arif Khan, Louise A. Baur:
A Framework to Explore the Knowledge Structure of Multidisciplinary Research Fields. CoRR abs/1509.06836 (2015) - [i3]Uma Srinivasan, Shahadat Uddin:
A Social Network Framework to Explore Healthcare Collaboration. CoRR abs/1509.07578 (2015) - 2013
- [i2]Shahadat Uddin, Mahendra Piraveenan, Arif Khan, Babak Amiri:
Conceptual quantification of the dynamicity of longitudinal social networks. CoRR abs/1311.0090 (2013) - 2011
- [i1]Alireza Abbasi, Liaquat Hossain, Shahadat Uddin, Kim J. R. Rasmussen:
Evolutionary Dynamics of Scientific Collaboration Networks: Multi-Levels and Cross-time Analysis. CoRR abs/1107.5870 (2011)
Coauthor Index
a service of 
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from 
to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the 
of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from 
, 
, and 
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from 
.
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2024-06-17 02:14 CEST by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by:
