World's Best Scientists 2026 revealed!
Award Badge
Computer Science
France
2025

D-Index & Metrics

Computer Science

D-Index
64
Citations
14574
World Ranking
2632
National Ranking
35

Research.com Recognitions

  • 2025 - Research.com Computer Science in France Leader Award
  • 2023 - Research.com Computer Science in France Leader Award
  • 2022 - Research.com Computer Science in France Leader Award

Overview

Jérôme Lang is affiliated with Paris Dauphine University in France. Their research spans multiple disciplines, focusing primarily on Economics, Econometrics and Finance, Computer Science, and Decision Sciences. These fields encompass subfields including Economics and Econometrics, Management Science and Operations Research, Artificial Intelligence, Computational Theory and Mathematics, and Political Science and International Relations.

Their work covers several main topics, with a notable emphasis on Game Theory and Voting Systems as well as Auction Theory and Applications. Other significant topics include Internet Traffic Analysis and Secure E-voting, Electoral Systems and Political Participation, Game Theory and Applications, Logic, Reasoning, and Knowledge, and Experimental Behavioral Economics Studies.

Jérôme Lang has contributed research articles to a variety of academic venues. Frequent publication outlets include:

  • arXiv (Cornell University)
  • Proceedings of the AAAI Conference on Artificial Intelligence
  • Social Choice and Welfare
  • Journal of Artificial Intelligence Research
  • Artificial Intelligence

Selected recent papers illustrate the range of their research interests and collaborations:

  • "Hedonic Games with Ordinal Preferences and Thresholds," 2020, Journal of Artificial Intelligence Research
  • "Portioning using ordinal preferences: Fairness and efficiency," 2022, Artificial Intelligence
  • "A Market-Inspired Bidding Scheme for Peer Review Paper Assignment," 2021, Proceedings of the AAAI Conference on Artificial Intelligence
  • "The Complexity Landscape of Outcome Determination in Judgment Aggregation," 2020, Journal of Artificial Intelligence Research
  • "Understanding political divisiveness using online participation data from the 2022 French and Brazilian presidential elections," 2023, Nature Human Behaviour

Their frequent co-authors include Umberto Grandi, Rachael Colley, Stéphane Airiau, Haris Aziz, and Mariana Macedo.

Jérôme Lang has also contributed to book publications, notably with Springer Science+Business Media, including the title "PRIMA 2022: Principles and Practice of Multi-Agent Systems" published in 2022.

Best Publications

  • Possibilistic logic

    D. Dubois;J. Lang;H. Prade

  • Handbook of Computational Social Choice

    Felix Brandt;Vincent Conitzer;Ulle Endriss;Jérôme Lang;Jérôme Lang

  • Issues in multiagent resource allocation

    Yann Chevaleyre;Paul E. Dunne;Ulle Endriss;Jerome Lang

  • When are elections with few candidates hard to manipulate

    Vincent Conitzer;Tuomas Sandholm;Jérôme Lang

  • Inconsistency management and prioritized syntax-based entailment

    Salem Benferhat;Claudette Cayrol;Didier Dubois;Jerome Lang

  • Fuzzy sets in approximate reasoning, part 2: logical approaches

    Didier Dubois;Jérôme Lang;Henri Prade

  • A Short Introduction to Computational Social Choice

    Yann Chevaleyre;Ulle Endriss;Jérôme Lang;Nicolas Maudet

  • Voting procedures with incomplete preferences

    Kathrin Konczak;Jerome Lang

  • Propositional independence: formula-variable independence and forgetting

    Jôme Lang;Paolo Liberatore;Pierre Marquis

  • DA 2 merging operators

    S. Konieczny;J. Lang;P. Marquis

  • The computational complexity of dominance and consistency in CP-Nets

    Judy Goldsmith;Jérôme Lang;Miroslaw Truszczynski;Nic Wilson

  • Efficiency and envy-freeness in fair division of indivisible goods: logical representation and complexity

    Sylvain Bouveret;Jérôme Lang

  • Uncertainty in Constraint Satisfaction Problems: a Probalistic Approach

    Hélène Fargier;Jérôme Lang

  • Automated reasoning using possibilistic logic: semantics, belief revision, and variable certainty weights

    D. Dubois;J. Lang;H. Prade

  • Fusion: General concepts and characteristics

    Isabelle Bloch;Anthony A. Hunter;Alain A. Appriou;Andr A. Ayoun

  • Timed possibilistic logic

    Didier Dubois;Jérǒme Lang;Henri Prade

  • Finding a collective set of items: from proportional multirepresentation to group recommendation

    Piotr Skowron;Piotr Faliszewski;Jerome Lang

  • Logical Preference Representation and Combinatorial Vote

    Jérôme Lang

  • Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence (IJCAI 2018)

    Jérôme Lang

  • Selecting preferred solutions in Fuzzy Constraint Satisfaction Problems

    H. Fargier;J. Lang;T. Schiex

  • Finding a collective set of items

    Piotr Skowron;Piotr Faliszewski;Jrme Lang

  • Belief change based on global minimisation

    James P. Delgrande;Jérôme Lang;Torsten Schaub

Frequent Co-Authors

Pierre Marquis
Pierre Marquis Artois University
Ulle Endriss
Ulle Endriss University of Amsterdam
Didier Dubois
Didier Dubois Paul Sabatier University
Henri Prade
Henri Prade Paul Sabatier University
Lirong Xia
Lirong Xia Rutgers, The State University of New Jersey
Nicolas Maudet
Nicolas Maudet Sorbonne University
Haris Aziz
Haris Aziz University of New South Wales
Vincent Conitzer
Vincent Conitzer Carnegie Mellon University
Leendert van der Torre
Leendert van der Torre University of Luxembourg
Hélène Fargier
Hélène Fargier Toulouse Institute of Computer Science Research

If you think any of the details on this page are incorrect, let us know.

Report an issue

We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below:

Related Online Degrees & Career Pathways

Pursuing a Computer Science degree in the USA opens many pathways for both further education and career advancement. Online learning is a flexible, cost-effective way to build new skills or pivot into in-demand tech roles.

Business-minded students can complement their computer science expertise with leadership and management skills by enrolling in an online mba. This helps professionals move into technical management or tech-focused entrepreneurial careers.

For those seeking a faster route, consider a 1 year masters degree online. These accelerated programs allow graduates to quickly upskill and qualify for advanced roles without a lengthy time commitment.

If speed is your top priority, look into the fastest degree to get online. Many tech and computer-related fields offer quick, high-value certifications or associate degrees that lead to well-paid positions in months rather than years.

The demand for AI skills continues to grow rapidly. Explore your options with some of the ai degrees available to boost your expertise in machine learning, data science, and automation.

Best Scientists Citing Jérôme Lang

Trending Scientists