default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDRichard Allmendinger 0001
Person information
- affiliation (PhD 2011): University of Manchester, Alliance Manchester Business School, UK
- affiliation (2011-2015): University College London, Biochemical Engineering Department, UK
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
showing all ?? records
2020 – today
- 2024
[j17]Wenlei Bai
, Fanlin Meng, Ming Sun, Haoxiang Qin, Richard Allmendinger, Kwang Y. Lee:
Differential evolutionary particle swarm optimization with orthogonal learning for wind integrated optimal power flow. Appl. Soft Comput. 160: 111662 (2024)- [j16]Danny Wood, Theodore Papamarkou, Matt Benatan, Richard Allmendinger:
Model-agnostic variable importance for predictive uncertainty: an entropy-based approach. Data Min. Knowl. Discov. 38(6): 4184-4216 (2024) - [j15]Hadi Akbarzadeh Khorshidi, Marzieh Soltanolkottabi, Richard Allmendinger, Uwe Aickelin:
Editorial: Special issue on operations research and machine learning. INFOR Inf. Syst. Oper. Res. 62(2): 183-185 (2024) - [j14]Seyed Mahdi Shavarani, Manuel López-Ibáñez, Richard Allmendinger:
Detecting Hidden and Irrelevant Objectives in Interactive Multiobjective Optimization. IEEE Trans. Evol. Comput. 28(2): 544-557 (2024) - [c50]Stefan Pricopie, Richard Allmendinger, Manuel López-Ibáñez, Clyde Fare, Matt Benatan, Joshua D. Knowles:
Bayesian Optimization with Setup Switching Cost. GECCO Companion 2024: 103-104 - [c49]Nian Ran, Bahrul Ilmi Nasution, Claire Little, Richard Allmendinger, Mark J. Elliot:
Multi-objective evolutionary GAN for tabular data synthesis. GECCO 2024 - [c48]Axel Vargas, Pradyumn Shukla, Richard Allmendinger, Andreas Jaeger:
On Solving the Capacitated Vehicle Routing Problem with Time Windows using Quantum Annealing. GECCO Companion 2024: 1979-1983 - [c47]Stefan Pricopie, Richard Allmendinger, Manuel López-Ibáñez, Clyde Fare, Matt Benatan, Joshua D. Knowles:
An Adaptive Approach to Bayesian Optimization with Setup Switching Costs. PPSN (2) 2024: 340-355 - [c46]Mark J. Elliot, Claire Little, Richard Allmendinger:
The Production of Bespoke Synthetic Teaching Datasets Without Access to the Original Data. PSD 2024: 144-157 - [i24]Kaled M. Alshmrany, Mohannad Aldughaim, Chenfeng Wei, Tom Sweet, Richard Allmendinger, Lucas C. Cordeiro:
FuSeBMC AI: Acceleration of Hybrid Approach through Machine Learning. CoRR abs/2404.06031 (2024) - [i23]Nian Ran, Bahrul Ilmi Nasution, Claire Little, Richard Allmendinger, Mark J. Elliot:
Multi-objective evolutionary GAN for tabular data synthesis. CoRR abs/2404.10176 (2024) - [i22]Stefan Pricopie, Richard Allmendinger, Manuel López-Ibáñez, Clyde Fare, Matt Benatan, Joshua D. Knowles:
An adaptive approach to Bayesian Optimization with switching costs. CoRR abs/2405.08973 (2024) - [i21]Nian Ran, Peng Xiao, Yue Wang, Wesley Shi, Jianxin Lin, Qi Meng, Richard Allmendinger:
HR-Extreme: A High-Resolution Dataset for Extreme Weather Forecasting. CoRR abs/2409.18885 (2024) - [i20]Marcos Negre Saura, Richard Allmendinger, Theodore Papamarkou, Wei Pan:
Spatial-aware decision-making with ring attractors in reinforcement learning systems. CoRR abs/2410.03119 (2024) - 2023
- [j13]Tasos Asonitis, Richard Allmendinger, Matt Benatan, Ricardo Climent:
SonOpt: understanding the behaviour of bi-objective population-based optimisation algorithms through sound. Genet. Program. Evolvable Mach. 24(1): 3 (2023) - [c45]Chris Rhodes, Richard Allmendinger, Caroline Jay, Ricardo Climent:
Towards Developing a Virtual Guitar Instructor through Biometrics Informed Human-Computer Interaction. CHI Extended Abstracts 2023: 425:1-425:8 - [c44]Arnaud Liefooghe, Sébastien Vérel, Tinkle Chugh, Jonathan E. Fieldsend, Richard Allmendinger, Kaisa Miettinen:
Feature-Based Benchmarking of Distance-Based Multi/Many-objective Optimisation Problems: A Machine Learning Perspective. EMO 2023: 260-273 - [c43]Seyed Mahdi Shavarani, Manuel López-Ibáñez, Richard Allmendinger, Joshua D. Knowles:
An Interactive Decision Tree-Based Evolutionary Multi-objective Algorithm. EMO 2023: 620-634 - [c42]Andreea Avramescu, Manuel López-Ibáñez, Richard Allmendinger:
Interactive Stage-Wise Optimisation of Personalised Medicine Supply Chains. EvoApplications@EvoStar 2023: 718-733 - [c41]Tasos Asonitis, Richard Allmendinger, Matt Benatan, Ricardo Climent:
SonOpt: Understanding the behaviour of bi-objective population-based optimisation algorithms through sound. GECCO Companion 2023: 13-14 - [c40]Mayowa Ayodele, Richard Allmendinger, Manuel López-Ibáñez, Arnaud Liefooghe, Matthieu Parizy:
Applying Ising Machines to Multi-objective QUBOs. GECCO Companion 2023: 2166-2174 - [c39]Diederick Vermetten, Manuel López-Ibáñez, Olaf Mersmann, Richard Allmendinger, Anna V. Kononova:
Analysis of modular CMA-ES on strict box-constrained problems in the SBOX-COST benchmarking suite. GECCO Companion 2023: 2346-2353 - [c38]Wenlei Bai, Wen Zhang, Fanlin Meng, Richard Allmendinger, Kwang Y. Lee:
Optimal Allocation of PV Systems on Unbalanced Networks Using Evolutionary Algorithms. SSCI 2023: 795-800 - [p1]Richard Allmendinger, Joshua D. Knowles:
Heterogeneous Objectives: State-of-the-Art and Future Research. Many-Criteria Optimization and Decision Analysis 2023: 317-335 - [i19]Mayowa Ayodele, Richard Allmendinger, Manuel López-Ibáñez, Arnaud Liefooghe, Matthieu Parizy:
Applying Ising Machines to Multi-objective QUBOs. CoRR abs/2305.11648 (2023) - [i18]Diederick Vermetten, Manuel López-Ibáñez, Olaf Mersmann, Richard Allmendinger, Anna V. Kononova:
Analysis of modular CMA-ES on strict box-constrained problems in the SBOX-COST benchmarking suite. CoRR abs/2305.15102 (2023) - [i17]Danny Wood, Theodore Papamarkou, Matt Benatan, Richard Allmendinger:
Model-agnostic variable importance for predictive uncertainty: an entropy-based approach. CoRR abs/2310.12842 (2023) - [i16]Richard Allmendinger, Carlos M. Fonseca, Serpil Sayin, Margaret M. Wiecek, Michael Stiglmayr:
Multiobjective Optimization on a Budget (Dagstuhl Seminar 23361). Dagstuhl Reports 13(9): 1-68 (2023) - 2022
- [j12]Gonzalo A. Ruz, Daniel A. Ashlock, Richard Allmendinger, Gary B. Fogel:
Editorial: 2020 IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology (IEEE CIBCB 2020). Biosyst. 218: 104698 (2022) - [j11]Richard Allmendinger, Andrzej Jaszkiewicz, Arnaud Liefooghe, Christiane Tammer:
What if we increase the number of objectives? Theoretical and empirical implications for many-objective combinatorial optimization. Comput. Oper. Res. 145: 105857 (2022) - [j10]Jonathan E. Fieldsend, Tinkle Chugh, Richard Allmendinger, Kaisa Miettinen:
A Visualizable Test Problem Generator for Many-Objective Optimization. IEEE Trans. Evol. Comput. 26(1): 1-11 (2022) - [j9]Cameron Shand, Richard Allmendinger, Julia Handl, Andrew M. Webb, John Keane:
HAWKS: Evolving Challenging Benchmark Sets for Cluster Analysis. IEEE Trans. Evol. Comput. 26(6): 1206-1220 (2022) - [c37]Andreea Avramescu, Richard Allmendinger, Manuel López-Ibáñez, Adriana G. Lopes:
Composite Facility Location Problems: A Case Study of Personalised Medicine. CIBCB 2022: 1-8 - [c36]Tasos Asonitis, Richard Allmendinger, Matt Benatan, Ricardo Climent:
SonOpt: Sonifying Bi-objective Population-Based Optimization Algorithms. EvoMUSART 2022: 3-18 - [c35]Chris Rhodes, Richard Allmendinger, Ricardo Climent:
Classifying Biometric Data for Musical Interaction Within Virtual Reality. EvoMUSART 2022: 385-400 - [c34]Mayowa Ayodele, Richard Allmendinger, Manuel López-Ibáñez, Matthieu Parizy:
Multi-objective QUBO solver: bi-objective quadratic assignment problem. GECCO 2022: 467-475 - [c33]Youngmin Kim, Richard Allmendinger, Manuel López-Ibáñez:
Are evolutionary algorithms safe optimizers? GECCO 2022: 814-822 - [c32]Stefan Pricopie, Richard Allmendinger, Manuel López-Ibáñez, Clyde Fare, Matt Benatan, Joshua D. Knowles:
Expensive optimization with production-graph resource constraints: a first look at a new problem class. GECCO 2022: 840-848 - [c31]Jake Atkinson, Richard Allmendinger, Joshua D. Knowles:
Inventing and Assessing Simple Heuristics for Bidding in Wholesale Electricity Markets. OR 2022: 245-251 - [c30]Ayesha AlHosani, Richard Allmendinger, Mercedes Bleda:
Coopetition and Knowledge Sharing in Dynamic Business Environments. OR 2022: 357-363 - [c29]Mayowa Ayodele, Richard Allmendinger, Manuel López-Ibáñez, Matthieu Parizy:
A Study of Scalarisation Techniques for Multi-objective QUBO Solving. OR 2022: 393-399 - [c28]Alma A. M. Rahat, Tinkle Chugh, Jonathan E. Fieldsend, Richard Allmendinger, Kaisa Miettinen:
Efficient Approximation of Expected Hypervolume Improvement Using Gauss-Hermite Quadrature. PPSN (1) 2022: 90-103 - [c27]Chin Woei Lim, Richard Allmendinger, Joshua D. Knowles, Ayesha AlHosani, Mercedes Bleda:
Cooperative Multi-agent Search on Endogenously-Changing Fitness Landscapes. PPSN (1) 2022: 265-278 - [c26]Claire Little, Mark J. Elliot, Richard Allmendinger:
Comparing the Utility and Disclosure Risk of Synthetic Data with Samples of Microdata. PSD 2022: 234-249 - [i15]Tasos Asonitis, Richard Allmendinger, Matt Benatan, Ricardo Climent:
SonOpt: Sonifying Bi-objective Population-Based Optimization Algorithms. CoRR abs/2202.12187 (2022) - [i14]Youngmin Kim, Richard Allmendinger, Manuel López-Ibáñez:
Are Evolutionary Algorithms Safe Optimizers? CoRR abs/2203.12622 (2022) - [i13]Samantha Petersone, Alwin Tan, Richard Allmendinger, Sujit Roy, James Hales:
A Data-Driven Framework for Identifying Investment Opportunities in Private Equity. CoRR abs/2204.01852 (2022) - [i12]Mayowa Ayodele, Richard Allmendinger, Manuel López-Ibáñez, Matthieu Parizy:
Multi-objective QUBO Solver: Bi-objective Quadratic Assignment. CoRR abs/2205.13399 (2022) - [i11]Alma A. M. Rahat, Tinkle Chugh, Jonathan E. Fieldsend, Richard Allmendinger, Kaisa Miettinen:
Efficient Approximation of Expected Hypervolume Improvement using Gauss-Hermite Quadrature. CoRR abs/2206.07834 (2022) - [i10]Chin Woei Lim, Richard Allmendinger, Joshua D. Knowles, Ayesha AlHosani, Mercedes Bleda:
Cooperative Multi-Agent Search on Endogenously-Changing Fitness Landscapes. CoRR abs/2206.13844 (2022) - [i9]Eyyub Can Odacioglu, Lihong Zhang, Richard Allmendinger:
Combining Topic Modeling with Grounded Theory: Case Studies of Project Collaboration. CoRR abs/2207.02212 (2022) - [i8]Claire Little, Mark J. Elliot, Richard Allmendinger:
Comparing the Utility and Disclosure Risk of Synthetic Data with Samples of Microdata. CoRR abs/2207.03339 (2022) - [i7]Mayowa Ayodele, Richard Allmendinger, Manuel López-Ibáñez, Matthieu Parizy:
A Study of Scalarisation Techniques for Multi-Objective QUBO Solving. CoRR abs/2210.11321 (2022) - 2021
- [j8]Xilu Wang, Yaochu Jin, Sebastian Schmitt, Markus Olhofer, Richard Allmendinger:
Transfer learning based surrogate assisted evolutionary bi-objective optimization for objectives with different evaluation times. Knowl. Based Syst. 227: 107190 (2021) - [c25]Andrew Iskandar, Richard Allmendinger:
Multi-objective Workforce Allocation in Construction Projects. EvoApplications 2021: 50-64 - [c24]Andreea Avramescu, Richard Allmendinger, Manuel López-Ibáñez:
A Multi-objective Multi-type Facility Location Problem for the Delivery of Personalised Medicine. EvoApplications 2021: 388-403 - [c23]Laurynas Raudonius, Richard Allmendinger:
Evaluating Football Player Actions During Counterattacks. IDEAL 2021: 367-377 - [e3]Hujun Yin, David Camacho, Peter Tiño, Richard Allmendinger, Antonio J. Tallón-Ballesteros, Ke Tang, Sung-Bae Cho, Paulo Novais, Susana Nascimento:
Intelligent Data Engineering and Automated Learning - IDEAL 2021 - 22nd International Conference, IDEAL 2021, Manchester, UK, November 25-27, 2021, Proceedings. Lecture Notes in Computer Science 13113, Springer 2021, ISBN 978-3-030-91607-7 [contents] - [i6]Youngmin Kim, Richard Allmendinger, Manuel López-Ibáñez:
Safe Learning and Optimization Techniques: Towards a Survey of the State of the Art. CoRR abs/2101.09505 (2021) - [i5]Cameron Shand, Richard Allmendinger, Julia Handl, Andrew M. Webb, John Keane:
HAWKS: Evolving Challenging Benchmark Sets for Cluster Analysis. CoRR abs/2102.06940 (2021) - [i4]Richard Allmendinger, Joshua D. Knowles:
Heterogeneous Objectives: State-of-the-Art and Future Research. CoRR abs/2103.15546 (2021) - [i3]Richard Allmendinger, Andrzej Jaszkiewicz, Arnaud Liefooghe, Christiane Tammer:
What if we Increase the Number of Objectives? Theoretical and Empirical Implications for Many-objective Optimization. CoRR abs/2106.03275 (2021) - [i2]Chimdimma Noelyn Onah, Richard Allmendinger, Julia Handl, Kenneth W. Dunn:
Towards a fairer reimbursement system for burn patients using cost-sensitive classification. CoRR abs/2107.00531 (2021) - [i1]Claire Little, Mark J. Elliot, Richard Allmendinger, Sahel Shariati Samani:
Generative Adversarial Networks for Synthetic Data Generation: A Comparative Study. CoRR abs/2112.01925 (2021) - 2020
- [j7]Chris Rhodes, Richard Allmendinger, Ricardo Climent:
New Interfaces and Approaches to Machine Learning When Classifying Gestures within Music. Entropy 22(12): 1384 (2020) - [c22]Mayowa Ayodele, Richard Allmendinger, K. Nadia Papamichail:
Heuristic Search in LegalTech: Dynamic Allocation of Legal Cases to Legal Staff. LOD (2) 2020: 326-338 - [c21]Youngmin Kim, Richard Allmendinger, Manuel López-Ibáñez:
Safe Learning and Optimization Techniques: Towards a Survey of the State of the Art. TAILOR 2020: 123-139
2010 – 2019
- 2019
- [j6]Folarin B. Oyebolu, Richard Allmendinger, Suzanne S. Farid, Jürgen Branke:
Dynamic scheduling of multi-product continuous biopharmaceutical facilities: A hyper-heuristic framework. Comput. Chem. Eng. 125: 71-88 (2019) - [c20]Cameron Shand, Richard Allmendinger, Julia Handl, Andrew M. Webb, John Keane:
Evolving controllably difficult datasets for clustering. GECCO 2019: 463-471 - [c19]Jonathan E. Fieldsend, Tinkle Chugh, Richard Allmendinger, Kaisa Miettinen:
A feature rich distance-based many-objective visualisable test problem generator. GECCO 2019: 541-549 - [c18]Chris Rhodes, Richard Allmendinger, Ricardo Climent:
New Interfaces for Classifying Performance Gestures in Music. IDEAL (2) 2019: 31-42 - [c17]Chimdimma Noelyn Onah, Richard Allmendinger, Julia Handl, Paraskevas Yiapanis, Kenneth W. Dunn:
A Clustering-Based Patient Grouper for Burn Care. IDEAL (2) 2019: 123-131 - [e2]Hujun Yin, David Camacho, Peter Tiño, Antonio J. Tallón-Ballesteros, Ronaldo Menezes, Richard Allmendinger:
Intelligent Data Engineering and Automated Learning - IDEAL 2019 - 20th International Conference, Manchester, UK, November 14-16, 2019, Proceedings, Part I. Lecture Notes in Computer Science 11871, Springer 2019, ISBN 978-3-030-33606-6 [contents] - [e1]Hujun Yin, David Camacho, Peter Tiño, Antonio J. Tallón-Ballesteros, Ronaldo Menezes, Richard Allmendinger:
Intelligent Data Engineering and Automated Learning - IDEAL 2019 - 20th International Conference, Manchester, UK, November 14-16, 2019, Proceedings, Part II. Lecture Notes in Computer Science 11872, Springer 2019, ISBN 978-3-030-33616-5 [contents] - 2018
- [j5]Richard Allmendinger:
Conference Report on 2017 IEEE International Conference on Computational Intelligence in Bioinformatics and Computational Biology (IEEE CIBCB 2017) [Conference Reports]. IEEE Comput. Intell. Mag. 13(1): 23-24 (2018) - [j4]Richard Allmendinger, Daniel A. Ashlock, Sansanee Auephanwiriyakul:
Computational Intelligence Techniques in Bioinformatics and Bioengineering [Guest Editorial]. IEEE Comput. Intell. Mag. 13(3): 10-11 (2018) - [c16]Cameron Shand, Richard Allmendinger, Julia Handl, John Keane:
Towards an adaptive encoding for evolutionary data clustering. GECCO 2018: 521-528 - [c15]Tinkle Chugh, Richard Allmendinger, Vesa Ojalehto, Kaisa Miettinen:
Surrogate-assisted evolutionary biobjective optimization for objectives with non-uniform latencies. GECCO 2018: 609-616 - 2017
- [j3]Folarin B. Oyebolu, Jeroen van Lidth de Jeude, Cyrus Siganporia, Suzanne S. Farid, Richard Allmendinger, Jürgen Branke:
A new lot sizing and scheduling heuristic for multi-site biopharmaceutical production. J. Heuristics 23(4): 231-256 (2017) - [c14]Reza Salehnejad, Richard Allmendinger, Yu-Wang Chen, Manhal Ali, Azar Shahgholian, Paraskevas Yiapanis, Mohaimen Mansur:
Leveraging data mining techniques to understand drivers of obesity. CIBCB 2017: 1-9 - [c13]Samineh Bagheri, Wolfgang Konen, Richard Allmendinger, Jürgen Branke, Kalyanmoy Deb, Jonathan E. Fieldsend, Domenico Quagliarella, Karthik Sindhya:
Constraint handling in efficient global optimization. GECCO 2017: 673-680 - [c12]Ofer M. Shir, Thomas Bäck, Joshua D. Knowles, Richard Allmendinger:
Sequential experimentation by evolutionary algorithms. GECCO (Companion) 2017: 828-851 - [c11]Silviu Tofan, Richard Allmendinger, Manuela Zanda, Olly Stephens:
Heuristic allocation of computational resources. GECCO 2017: 1256-1263 - 2015
- [j2]Richard Allmendinger, Julia Handl, Joshua D. Knowles:
Multiobjective optimization: When objectives exhibit non-uniform latencies. Eur. J. Oper. Res. 243(2): 497-513 (2015) - 2014
- [c10]Richard Allmendinger, Suzanne S. Farid:
A Multiobjective Evolutionary Optimization Framework for Protein Purification Process Design. PPSN 2014: 498-507 - [c9]Richard Allmendinger, Spyridon Gerontas, Nigel John Titchener-Hooker, Suzanne S. Farid:
Tuning Evolutionary Multiobjective Optimization for Closed-Loop Estimation of Chromatographic Operating Conditions. PPSN 2014: 741-750 - 2013
- [j1]Richard Allmendinger, Joshua D. Knowles:
On Handling Ephemeral Resource Constraints in Evolutionary Search. Evol. Comput. 21(3): 497-531 (2013) - [c8]Arjun Chandra, Richard Allmendinger, Peter R. Lewis, Xin Yao, Jim Tørresen:
Exposing market mechanism design trade-offs via multi-objective evolutionary search. IEEE Congress on Evolutionary Computation 2013: 1515-1522 - [c7]Richard Allmendinger, Joshua D. Knowles:
'Hang On a Minute': Investigations on the Effects of Delayed Objective Functions in Multiobjective Optimization. EMO 2013: 6-20 - 2012
- [c6]Richard Allmendinger, Ana S. Simaria, Suzanne S. Farid:
Efficient Discovery of Chromatography Equipment Sizing Strategies for Antibody Purification Processes Using Evolutionary Computing. PPSN (2) 2012: 468-477 - 2011
- [c5]Richard Allmendinger, Joshua D. Knowles:
Policy learning in resource-constrained optimization. GECCO 2011: 1971-1978 - [c4]Richard Allmendinger, Joshua D. Knowles:
Evolutionary Search in Lethal Environments. IJCCI (ECTA-FCTA) 2011: 63-72 - 2010
- [c3]Richard Allmendinger, Joshua D. Knowles:
Evolutionary Optimization on Problems Subject to Changes of Variables. PPSN (2) 2010: 151-160 - [c2]Richard Allmendinger, Joshua D. Knowles:
On-Line Purchasing Strategies for an Evolutionary Algorithm Performing Resource-Constrained Optimization. PPSN (2) 2010: 161-170
2000 – 2009
- 2008
- [c1]Richard Allmendinger, Xiaodong Li, Jürgen Branke:
Reference Point-Based Particle Swarm Optimization Using a Steady-State Approach. SEAL 2008: 200-209
Coauthor Index
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 2024-12-02 22:31 CET 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:
