World's Best Scientists 2026 revealed!
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Mathematics
Sweden
2026

D-Index & Metrics

Computer Science

D-Index
53
Citations
20934
World Ranking
4689
National Ranking
18

Mathematics

D-Index
53
Citations
20889
World Ranking
875
National Ranking
7

Research.com Recognitions

  • 2026 - Research.com Mathematics in Sweden Leader Award
  • 2025 - Research.com Mathematics in Sweden Leader Award
  • 2018 - ACM Fellow For contributions in circuit complexity, approximability and inapproximability, and foundations of pseudorandomness
  • 2013 - Fellow of the American Mathematical Society
  • 2007 - Member of Academia Europaea

Overview

Johan Håstad is affiliated with the Royal Institute of Technology in Sweden and works primarily in the fields of Computer Science and Biochemistry, Genetics and Molecular Biology. Their research spans multiple subfields including Computational Theory and Mathematics, Molecular Biology, Computer Networks and Communications, Artificial Intelligence, and Industrial and Manufacturing Engineering.

The scientist's research interests focus on several topics such as:

  • Complexity and Algorithms in Graphs
  • Semigroups and Automata Theory
  • DNA and Biological Computing
  • Advanced Biosensing and Bioanalysis Techniques
  • Advanced Graph Theory Research
  • Algorithms and Data Compression
  • Constraint Satisfaction and Optimization

Recent publications illustrate the breadth of their work and include:

  • "Explicit Two-Deletion Codes With Redundancy Matching the Existential Bound" (2021), published in IEEE Transactions on Information Theory
  • "On Small-depth Frege Proofs for Tseitin for Grids" (2020), published in Journal of the ACM
  • "Randomness Efficient Noise Stability and Generalized Small Bias Sets" (2020), published by Leibniz-Zentrum für Informatik (Schloss Dagstuhl)
  • "On Bounded Depth Proofs for Tseitin Formulas on the Grid; Revisited" (2022), published at the 2022 IEEE 63rd Annual Symposium on Foundations of Computer Science (FOCS)
  • "Optimal Inapproximability with Universal Factor Graphs" (2023), published in ACM Transactions on Algorithms

Frequent coauthors collaborating with Johan Håstad include:

  • Venkatesan Guruswami
  • Kilian Risse
  • Per Austrin
  • Jonah Brown-Cohen
  • Boaz Barak

In terms of venues for publication, they have published multiple papers in:

  • arXiv (Cornell University)
  • IEEE Transactions on Information Theory
  • Journal of the ACM
  • Leibniz-Zentrum für Informatik (Schloss Dagstuhl)
  • ACM Transactions on Algorithms

Johan Håstad has been recognized with awards including being named an ACM Fellow in 2018 for contributions in circuit complexity, approximability and inapproximability, and foundations of pseudorandomness. They were also made a Fellow of the American Mathematical Society in 2013 and became a member of Academia Europaea in 2007.

Best Publications

  • Some optimal inapproximability results

    Johan Håstad

  • A Pseudorandom Generator from any One-way Function

    Johan HÅstad;Russell Impagliazzo;Leonid A. Levin;Michael Luby

  • Clique is hard to approximate within n/sup 1-/spl epsiv//

    J. Hastad

  • Clique is hard to approximate within n1−ε

    Johan Håstad

  • Almost optimal lower bounds for small depth circuits

    J Hastad

  • Tensor rank is NP-complete

    Johan Håstad

  • Simple Constructions of Almost k-wise Independent Random Variables

    Noga Alon;Oded Goldreich;Johan Håstad;René Peralta

  • Computational limitations of small-depth circuits

    Johan Torkel Håstad

  • The bit extraction problem or t-resilient functions

    Benny Chor;Oded Goldreich;Johan Hasted;Joel Freidmann

  • Does co-NP have short interactive proofs?

    R. B. Boppana;J. Hastad;S. Zachos

  • On the power of small-depth threshold circuits

    Johan Håstad;Mikael Goldmann

  • Everything provable is provable in zero-knowledge

    Michael Ben-Or;Oded Goldreich;Shafi Goldwasser;Johan Håstad

  • Solving simultaneous modular equations of low degree

    Johan Hastad

  • Optimal bounds for decision problems on the CRCW PRAM

    Paul Beame;Johan Hastad

  • Majority gates vs. general weighted threshold gates

    M. Goldmann;J. Hastad;A. Razborov

  • Linearity testing in characteristic two

    M. Bellare;D. Coppersmith;J. Hastad;M. Kiwi

  • Clique is hard to approximate within n 1-epsilon

    Johan Håstad

  • Simple construction of almost k-wise independent random variables

    N. Alon;O. Goldreich;J. Hastad;R. Peralta

  • Randomness Extraction and Key Derivation Using the CBC, Cascade and HMAC Modes

    Yevgeniy Dodis;Rosario Gennaro;Johan Håstad;Hugo Krawczyk

  • Statistical zero-knowledge languages can be recognized in two rounds

    William Aiello;Johan Hastad

  • Analysis of backoff protocols for multiple access channels

    J. Hastad;T. Leighton;B. Rogoff

Frequent Co-Authors

Venkatesan Guruswami
Venkatesan Guruswami University of California, Berkeley
Madhu Sudan
Madhu Sudan Harvard University
Oded Goldreich
Oded Goldreich Weizmann Institute of Science
Jeffrey C. Lagarias
Jeffrey C. Lagarias University of Michigan–Ann Arbor
Prasad Raghavendra
Prasad Raghavendra University of California, Berkeley
William Aiello
William Aiello University of British Columbia
Avi Wigderson
Avi Wigderson Institute for Advanced Study
Rafael Pass
Rafael Pass Cornell University
Shafi Goldwasser
Shafi Goldwasser University of California, Berkeley

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