World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
75
Citations
44584
World Ranking
1371
National Ranking
714

Research.com Recognitions

  • 2019 - IEEE John von Neumann Medal “For contributions to the field of algorithms, including foundational new methods in optimization, approximation algorithms, and algorithmic game theory.”
  • 2013 - Fellow of the American Mathematical Society
  • 2013 - Member of the National Academy of Sciences
  • 2009 - SIAM Fellow For the design and analysis of graph and network algorithms.
  • 2007 - Member of the National Academy of Engineering For contributions to the design and analysis of efficient algorithms for network problems.
  • 2006 - Dantzig Prize, by the Society for Industrial and Applied Mathematics (SIAM) and the Mathematical Optimization Society (MOS)
  • 2005 - Fellow of the Institute for Operations Research and the Management Sciences (INFORMS)
  • 2001 - Fellow of the American Academy of Arts and Sciences
  • 1999 - Fellow of John Simon Guggenheim Memorial Foundation
  • 1998 - ACM Fellow For fundamental contributions in the design and analysis of algorithms, combinatorial optimization, network flows, and approximation algorithms.
  • 1991 - Fellow of Alfred P. Sloan Foundation

Overview

Éva Tardos is affiliated with Cornell University in the United States and has contributed extensively to algorithmic research, particularly in decision sciences and computer science. Their work spans various subfields including management science and operations research, economics and econometrics, computer networks and communications, information systems, and safety research.

Tardos's primary research topics include:

  • Auction Theory and Applications
  • Advanced Bandit Algorithms Research
  • Optimization and Search Problems
  • Economic theories and models
  • Experimental Behavioral Economics Studies
  • Game Theory and Applications
  • Game Theory and Voting Systems

Frequent coauthors collaborating with Tardos include Giannis Fikioris, Siddhartha Banerjee, Jon Kleinberg, Emily Ryu, and Yoav Kolumbus.

Their publications are commonly found in several notable venues, such as:

  • arXiv (Cornell University)
  • Journal of the ACM
  • Mathematics of Operations Research
  • ACM Transactions on Economics and Computation
  • Leibniz-Zentrum für Informatik (Schloss Dagstuhl)

Representative recent papers include:

  • No-Regret Learning in Bayesian Games (2025), arXiv (Cornell University)
  • Simple and Efficient Budget Feasible Mechanisms for Monotone Submodular Valuations (2021), ACM Transactions on Economics and Computation
  • Ordered Submodularity and its Applications to Diversifying Recommendations (2022), arXiv (Cornell University)
  • Liquid Welfare Guarantees for No-Regret Learning in Sequential Budgeted Auctions (2022), arXiv (Cornell University)
  • The Price of Anarchy of Strategic Queuing Systems (2023), Journal of the ACM

Tardos has been recognized with various honors throughout their career, including:

  • IEEE John von Neumann Medal (2019) for contributions to algorithms, optimization, approximation algorithms, and algorithmic game theory
  • Fellow of the American Mathematical Society (2013)
  • Member of the National Academy of Sciences (2013)
  • SIAM Fellow (2009) for the design and analysis of graph and network algorithms
  • Member of the National Academy of Engineering (2007) for contributions to efficient algorithms for network problems
  • Dantzig Prize by SIAM and the Mathematical Optimization Society (2006)
  • Fellow of the Institute for Operations Research and the Management Sciences (INFORMS) (2005)
  • Fellow of the American Academy of Arts and Sciences (2001)
  • Fellow of John Simon Guggenheim Memorial Foundation (1999)
  • ACM Fellow (1998) for contributions in algorithms, combinatorial optimization, and network flows
  • Fellow of Alfred P. Sloan Foundation (1991)

Best Publications

  • Maximizing the Spread of Influence through a Social Network

    David Kempe;Jon M. Kleinberg;Éva Tardos

  • How bad is selfish routing

    Tim Roughgarden;Éva Tardos

  • Algorithm Design

    Jon Kleinberg;Eva Tardos

  • Algorithmic Game Theory: Quantifying the Inefficiency of Equilibria

    Noam Nisan;Tim Roughgarden;Eva Tardos;Vijay V. Vazirani

  • Algorithmic Game Theory: Computing in Games

    Noam Nisan;Tim Roughgarden;Eva Tardos;Vijay V. Vazirani

  • The Price of Stability for Network Design with Fair Cost Allocation

    Elliot Anshelevich;Anirban Dasgupta;Jon Kleinberg;Éva Tardos

  • Approximation algorithms for scheduling unrelated parallel machines

    J. K. Lenstra;D. B. Shmoys;É. Tardos

  • Influential nodes in a diffusion model for social networks

    David Kempe;Jon Kleinberg;Éva Tardos

  • An approximation algorithm for the generalized assignment problem

    David B. Shmoys;Éva Tardos

  • Fast approximation algorithms for fractional packing and covering problems

    Serge A. Plotkin;David B. Shmoys;Éva Tardos

  • A constant-factor approximation algorithm for the k -median problem

    Moses Charikar;Sudipto Guha;Éva Tardos;David B. Shmoys

  • Approximation algorithms for facility location problems

    D.B. Shmoys;É. Tardos;K.I. Aardal

  • Truthful mechanisms for one-parameter agents

    A. Archer;E. Tardos

  • Approximation algorithms for classification problems with pairwise relationships: metric labeling and Markov random fields

    Jon Kleinberg;Éva Tardos

  • Approximation algorithms for facility location problems (extended abstract)

    David B. Shmoys;Éva Tardos;Karen Aardal

  • A strongly polynomial algorithm to solve combinatorial linear programs

    Eva Tardos

  • Fairness in Routing and Load Balancing

    Jon Kleinberg;Yuval Rabani;Éva Tardos

  • An Approximate Truthful Mechanism for Combinatorial Auctions with Single Parameter Agents

    Aaron Archer;Christos H. Papadimitriou;Kunal Talwar;Éva Tardos

  • Frugal path mechanisms

    Aaron Archer;Éva Tardos

  • A strongly polynomial minimum cost circulation algorithm

    Éva Tardos

  • A constant-factor approximation algorithm for the k-median problem (extended abstract)

    Moses Charikar;Sudipto Guha;Éva Tardos;David B. Shmoys

Frequent Co-Authors

Jon Kleinberg
Jon Kleinberg Cornell University
Tim Roughgarden
Tim Roughgarden Columbia University
Serge Plotkin
Serge Plotkin Stanford University
David B. Shmoys
David B. Shmoys Cornell University
Robert Kleinberg
Robert Kleinberg Cornell University
Vijay V. Vazirani
Vijay V. Vazirani University of California, Irvine
Andrew V. Goldberg
Andrew V. Goldberg Amazon (United States)
Noam Nisan
Noam Nisan Hebrew University of Jerusalem
David Kempe
David Kempe University of Southern California
Yuval Rabani
Yuval Rabani Hebrew University of Jerusalem

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