Michael Saks

7.0k citations
139 papers · 3.5k indexed · h-index 34

Michael Saks

136 papers receiving 3.2k citations

Peers

Michael Saks
Comparison fields: 5 of 81
  • Computational Theory and Mathematics 1.9k
  • Discrete Mathematics and Combinatorics 295
  • Computer Networks and Communications 1.4k
  • Artificial Intelligence 1.4k
  • Computer Graphics and Computer-Aided Design 144
Replace Márió Szegedy with:
Márió Szegedy United States
Marek Karpiński Germany
J. W. Thatcher United States
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Zvi Galil United States
Derek G. Corneil Canada
Alistair Sinclair United States
Martin Grohe Germany
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Michael Ben-Or Israel
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Citations per field
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Citations per year

Countries citing papers authored by Michael Saks

Since Specialization
Citations

This map shows the geographic impact of Michael Saks's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Michael Saks with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael Saks more than expected).

Fields of papers citing papers by Michael Saks

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Michael Saks. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Michael Saks. The network helps show where Michael Saks may publish in the future.

Co-authorship network

The 25 scholars most cited alongside Michael Saks, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Michael Saks Line = papers co-authored together Michael Saks links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20206
2
Tight Bound on the Number of Relevant Variables in a Bounded degree Boolean function.
20180
3 201411
4
20101
5
Parallel monotonicity reconstruction
20087
6
Minimizing DNF Formulas and AC0 Circuits Given a Truth Table
20057
7 20051
8 20041
9 20022
10 200212
11 20021
12 200110
13 200132
14
Super-Linear Time-Space Tradeoff Lower Bounds for Randomized Computation
20002
15 199627
16 199427
17 199330
18 199145
19 199153
20 197932

About Michael Saks

Michael Saks is a scholar working on Computational Theory and Mathematics, Discrete Mathematics and Combinatorics and Artificial Intelligence, having authored 139 papers that have together received 3.5k indexed citations. Recurring topics across this work include Complexity and Algorithms in Graphs (60 papers), Optimization and Search Problems (31 papers), Advanced Graph Theory Research (25 papers), Machine Learning and Algorithms (22 papers), Algorithms and Data Compression (19 papers), Cryptography and Data Security (17 papers), semigroups and automata theory (15 papers) and Limits and Structures in Graph Theory (13 papers). The work is most often cited by research in Computational Theory and Mathematics (1.9k citations), Discrete Mathematics and Combinatorics (295 citations) and Computer Networks and Communications (1.4k citations). Michael Saks has collaborated with scholars based in United States, Israel and Netherlands. Frequent co-authors include Nathan Linial, Allan Borodin, Ramamohan Paturi, Michael L. Fredman, László Lovász, Paul Beame, Avi Wigderson, Jeff Kahn, Lan Yu and Francis Zane. Their work appears in journals such as SIAM Journal on Computing, COMBINATORICA, Journal of Computer and System Sciences, Journal of the ACM and Discrete Mathematics.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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