Jesús Cerquides

1.9k total citations
86 papers, 940 citations indexed

About

Jesús Cerquides is a scholar working on Artificial Intelligence, Management Science and Operations Research and Computer Networks and Communications. According to data from OpenAlex, Jesús Cerquides has authored 86 papers receiving a total of 940 indexed citations (citations by other indexed papers that have themselves been cited), including 37 papers in Artificial Intelligence, 31 papers in Management Science and Operations Research and 22 papers in Computer Networks and Communications. Recurrent topics in Jesús Cerquides's work include Auction Theory and Applications (25 papers), Multi-Agent Systems and Negotiation (13 papers) and Optimization and Search Problems (12 papers). Jesús Cerquides is often cited by papers focused on Auction Theory and Applications (25 papers), Multi-Agent Systems and Negotiation (13 papers) and Optimization and Search Problems (12 papers). Jesús Cerquides collaborates with scholars based in Spain, Italy and United Kingdom. Jesús Cerquides's co-authors include Juan A. Rodríguez-Aguilar, Meritxell Vinyals, Geoffrey I. Webb, Mark Carman, Nayyar A. Zaidi, Ramón López de Mántaras, Andrea Giovannucci, Alessandro Farinelli, Sarvapali D. Ramchurn and Pedro Meseguer and has published in prestigious journals such as Expert Systems with Applications, IEEE Access and Human Reproduction.

In The Last Decade

Jesús Cerquides

81 papers receiving 883 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Jesús Cerquides Spain 17 404 247 224 122 114 86 940
Mathijs de Weerdt Netherlands 20 443 1.1× 285 1.2× 166 0.7× 59 0.5× 66 0.6× 123 1.2k
Bijan Raahemi Canada 17 500 1.2× 259 1.0× 136 0.6× 173 1.4× 71 0.6× 69 995
Siddhartha Banerjee United States 15 433 1.1× 227 0.9× 133 0.6× 83 0.7× 56 0.5× 74 1.3k
Pedro Isasi Spain 19 653 1.6× 127 0.5× 189 0.8× 100 0.8× 76 0.7× 118 1.2k
Rajiv Maheswaran United States 18 257 0.6× 566 2.3× 291 1.3× 107 0.9× 219 1.9× 61 998
Christopher Kiekintveld United States 25 337 0.8× 489 2.0× 450 2.0× 323 2.6× 165 1.4× 86 1.6k
Yan Fu China 19 451 1.1× 205 0.8× 94 0.4× 262 2.1× 72 0.6× 129 1.3k
Ye Chen China 19 392 1.0× 192 0.8× 151 0.7× 242 2.0× 102 0.9× 78 1.1k
Claudia V. Goldman Israel 18 714 1.8× 276 1.1× 365 1.6× 50 0.4× 29 0.3× 59 1.2k
Angelo Oddi Italy 21 406 1.0× 480 1.9× 195 0.9× 82 0.7× 63 0.6× 77 1.0k

Countries citing papers authored by Jesús Cerquides

Since Specialization
Citations

This map shows the geographic impact of Jesús Cerquides's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Jesús Cerquides with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jesús Cerquides more than expected).

Fields of papers citing papers by Jesús Cerquides

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jesús Cerquides. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Jesús Cerquides. The network helps show where Jesús Cerquides may publish in the future.

Co-authorship network of co-authors of Jesús Cerquides

This figure shows the co-authorship network connecting the top 25 collaborators of Jesús Cerquides. A scholar is included among the top collaborators of Jesús Cerquides based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Jesús Cerquides. Jesús Cerquides is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Cerquides, Jesús, et al.. (2025). Quantum federated learning: a comprehensive literature review of foundations, challenges, and future directions. Quantum Machine Intelligence. 7(2). 2 indexed citations
2.
Díaz, Mireia, et al.. (2024). Bayesian Optimization with Additive Kernels for a Stepwise Calibration of Simulation Models for Cost-Effectiveness Analysis. International Journal of Computational Intelligence Systems. 17(1).
3.
Cappiello, Cinzia, Mark Carman, Jesús Cerquides, et al.. (2023). A Citizen Science Approach for Analyzing Social Media With Crowdsourcing. IEEE Access. 11. 15329–15347. 6 indexed citations
4.
Cerquides, Jesús, et al.. (2023). IDoser: Improving individualized dosing policies with clinical practice and machine learning. Expert Systems with Applications. 238. 121796–121796. 1 indexed citations
5.
Pérez, Jon, Jaume Abella, Markus Borg, et al.. (2023). Artificial Intelligence for Safety-Critical Systems in Industrial and Transportation Domains: A Survey. ACM Computing Surveys. 56(7). 1–40. 49 indexed citations
6.
Fernandez-Marquez, Jose Luis, et al.. (2023). Single or ensemble model ? A study on social media images classification in disaster response. 48–54. 1 indexed citations
7.
Hernández-González, Jerónimo, et al.. (2022). Modeling three sources of uncertainty in assisted reproductive technologies with probabilistic graphical models. Computers in Biology and Medicine. 150. 106160–106160. 2 indexed citations
8.
Cerquides, Jesús, et al.. (2021). On the Convergence of Stochastic Process Convergence Proofs. Mathematics. 9(13). 1470–1470. 3 indexed citations
9.
Bistaffa, Filippo, Alessandro Farinelli, Jesús Cerquides, Juan A. Rodríguez-Aguilar, & Sarvapali D. Ramchurn. (2014). Anytime coalition structure generation on synergy graphs. Adaptive Agents and Multi-Agents Systems. 13–20. 18 indexed citations
10.
Ramchurn, Sarvapali D., et al.. (2013). Solving the Coalition Structure Generation Problem on a GPU. DIGITAL.CSIC (Spanish National Research Council (CSIC)). 2 indexed citations
11.
Cerquides, Jesús, et al.. (2013). Optimizing Performance for Coalition Structure Generation Problems' IDP Algorithm. DIGITAL.CSIC (Spanish National Research Council (CSIC)). 3 indexed citations
12.
Cerquides, Jesús, et al.. (2011). Communication-constrained DCOPs: message approximation in GDL with function filtering. Adaptive Agents and Multi-Agents Systems. 379–386. 3 indexed citations
13.
Vinyals, Meritxell, et al.. (2010). Divide-and-coordinate: DCOPs by agreement. Adaptive Agents and Multi-Agents Systems. 149–156. 14 indexed citations
14.
Vinyals, Meritxell, Jesús Cerquides, Alessandro Farinelli, & Juan A. Rodríguez-Aguilar. (2010). Worst-case bounds on the quality of max-product fixed-points. Neural Information Processing Systems. 23. 2325–2333. 6 indexed citations
15.
Giovannucci, Andrea, Meritxell Vinyals, Juan A. Rodríguez-Aguilar, & Jesús Cerquides. (2008). Computationally-efficient winner determination for mixed multi-unit combinatorial auctions. Adaptive Agents and Multi-Agents Systems. 1071–1078. 15 indexed citations
16.
Cerquides, Jesús, Ulle Endriss, Andrea Giovannucci, & Juan A. Rodríguez-Aguilar. (2006). Bidding Languages and Winner Determination for Mixed Multi-unit Combinatorial Auctions.. UvA-DARE (University of Amsterdam). 1221–1226. 34 indexed citations
17.
Cerquides, Jesús & Ramón López de Mántaras. (2005). TAN Classifiers Based on Decomposable Distributions. Machine Learning. 59(3). 323–354. 23 indexed citations
18.
Cerquides, Jesús & Ramón López de Mántaras. (2003). Tractable Bayesian learning of tree augmented Naive Bayes models. International Conference on Machine Learning. 75–82. 14 indexed citations
19.
Rodríguez-Aguilar, Juan A., et al.. (2002). Quotes : A Negotiation Tool for Industrial E-Procurement.. International Conference on Enterprise Information Systems. 989–994. 1 indexed citations
20.
Cerquides, Jesús & Ramón López de Mántaras. (1997). Proposal and empirical comparison of a parallelizable distance-based discretization method. Knowledge Discovery and Data Mining. 139–142. 24 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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