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.
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