D-Index & Metrics Best Publications

D-Index & Metrics

Discipline name D-index D-index (Discipline H-index) only includes papers and citation values for an examined discipline in contrast to General H-index which accounts for publications across all disciplines. Citations Publications World Ranking National Ranking
Engineering and Technology D-index 56 Citations 9,738 157 World Ranking 913 National Ranking 398

Research.com Recognitions

Awards & Achievements

2019 - ACM Fellow For contributions to game theory, social choice theory, and mechanism design

2019 - Fellow of the Association for the Advancement of Artificial Intelligence (AAAI) For significant contributions to the advancement of artificial intelligence through integration with economics and philosophy, including game theory, mechanism design, social choice, and ethics.

2015 - Fellow of John Simon Guggenheim Memorial Foundation

2008 - Fellow of Alfred P. Sloan Foundation

Overview

What is he best known for?

The fields of study he is best known for:

  • Law
  • Artificial intelligence
  • Statistics

His primary areas of study are Voting, Mathematical economics, Artificial intelligence, Mathematical optimization and Nash equilibrium. His Voting research incorporates elements of Ranking and Theoretical computer science. His Mathematical economics research is multidisciplinary, relying on both Vickrey auction, Common value auction and Vickrey–Clarke–Groves auction.

The Artificial intelligence study combines topics in areas such as Computational complexity theory, Core, Game theory, Outcome and Key. His research in Mathematical optimization focuses on subjects like Multi-agent system, which are connected to Impossibility, Risk analysis and Strategy proofness. Vincent Conitzer usually deals with Nash equilibrium and limits it to topics linked to Stackelberg competition and Strategy.

His most cited work include:

  • Computing the optimal strategy to commit to (378 citations)
  • When are elections with few candidates hard to manipulate (338 citations)
  • Handbook of Computational Social Choice (279 citations)

What are the main themes of his work throughout his whole career to date?

Vincent Conitzer mainly focuses on Mathematical economics, Mathematical optimization, Voting, Mechanism design and Game theory. He combines subjects such as Welfare and Artificial intelligence with his study of Mathematical economics. Within one scientific family, Vincent Conitzer focuses on topics pertaining to Multi-agent system under Mathematical optimization, and may sometimes address concerns connected to Key.

His Voting study frequently links to related topics such as Theoretical computer science. While the research belongs to areas of Mechanism design, Vincent Conitzer spends his time largely on the problem of Outcome, intersecting his research to questions surrounding Optimization problem. Vincent Conitzer has included themes like Normal-form game, Repeated game and Equilibrium selection in his Nash equilibrium study.

He most often published in these fields:

  • Mathematical economics (30.41%)
  • Mathematical optimization (23.20%)
  • Voting (20.06%)

What were the highlights of his more recent work (between 2017-2021)?

  • Mathematical economics (30.41%)
  • Mathematical optimization (23.20%)
  • Computational complexity theory (7.84%)

In recent papers he was focusing on the following fields of study:

Mathematical economics, Mathematical optimization, Computational complexity theory, Mechanism design and Welfare are his primary areas of study. His work on Zero-sum game as part of general Mathematical economics study is frequently connected to State, therefore bridging the gap between diverse disciplines of science and establishing a new relationship between them. His research on Mathematical optimization often connects related areas such as Principal.

His Computational complexity theory study frequently draws connections to other fields, such as Nash equilibrium. Vincent Conitzer interconnects Evolutionarily stable strategy and Algorithmic game theory in the investigation of issues within Nash equilibrium. Vincent Conitzer has researched Mechanism design in several fields, including Linear programming, Online advertising and Time horizon.

Between 2017 and 2021, his most popular works were:

  • Group Fairness for the Allocation of Indivisible Goods. (22 citations)
  • Adapting a Kidney Exchange Algorithm to Align with Human Values (22 citations)
  • Pacing Equilibrium in First-Price Auction Markets (14 citations)

In his most recent research, the most cited papers focused on:

  • Law
  • Statistics
  • Artificial intelligence

The scientist’s investigation covers issues in Mathematical optimization, Context, Computational complexity theory, Smart grid and Job shop scheduling. His Mathematical optimization study incorporates themes from Game theoretic, Game theory and Representation. You can notice a mix of various disciplines of study, such as Online advertising, Computability, Isolation, Microeconomics and Uniqueness, in his Context studies.

Online advertising connects with themes related to Mechanism design in his study. Monotonic function is intertwined with Common value auction and Incentive in his research.

This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.

Best Publications

When are elections with few candidates hard to manipulate

Vincent Conitzer;Tuomas Sandholm;Jérôme Lang.
Journal of the ACM (2007)

514 Citations

Handbook of Computational Social Choice

Felix Brandt;Vincent Conitzer;Ulle Endriss;Jérôme Lang.
Research Papers in Economics (2016)

483 Citations

Computing the optimal strategy to commit to

Vincent Conitzer;Tuomas Sandholm.
electronic commerce (2006)

483 Citations

New complexity results about Nash equilibria

Vincent Conitzer;Tuomas W Sandholm.
Games and Economic Behavior (2008)

398 Citations

Complexity of mechanism design

Vincent Conitzer;Tuomas Sandholm.
uncertainty in artificial intelligence (2002)

323 Citations

Complexity results about Nash equilibria

Vincent Conitzer;Tüomas Sandholm.
international joint conference on artificial intelligence (2003)

306 Citations

Stackelberg vs. Nash in security games: an extended investigation of interchangeability, equivalence, and uniqueness

Dmytro Korzhyk;Zhengyu Yin;Christopher Kiekintveld;Vincent Conitzer.
Journal of Artificial Intelligence Research (2011)

258 Citations

AWESOME: A general multiagent learning algorithm that converges in self-play and learns a best response against stationary opponents

Vincent Conitzer;Tuomas Sandholm.
Machine Learning (2007)

234 Citations

Determining possible and necessary winners under common voting rules given partial orders

Lirong Xia;Vincent Conitzer.
Journal of Artificial Intelligence Research (2011)

224 Citations

Complexity of computing optimal stackelberg strategies in security resource allocation games

Dmytro Korzhyk;Vincent Conitzer;Ronald Parr.
national conference on artificial intelligence (2010)

200 Citations

Editorial Boards

Games and Economic Behavior
(Impact Factor: 1.265)

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