Michael Saks

7.1k citations
154 papers · 4.6k · h-index 38

Impact in

Papers in

Michael Saks

152 papers receiving 4.2k citations

Peers

Michael Saks
Comparison fields: 5 of 87
  • Computational Theory and Mathematics 2.5k
  • Discrete Mathematics and Combinatorics 347
  • Computer Networks and Communications 1.9k
  • Artificial Intelligence 1.8k
  • Computer Graphics and Computer-Aided Design 185
Replace Marek Karpiński with:
Marek Karpiński Germany
Márió Szegedy United States
Alistair Sinclair United States
J. W. Thatcher United States
Alon Itai Israel
Martin Grohe Germany
Zvi Galil United States
Rodney G. Downey New Zealand
Derek G. Corneil Canada
Russell Impagliazzo United States
Michael Saks relative to Marek Karpiński Germany Marek Karpiński's profile →
Citations per field
00.5×1.7×
Marek Karpiński · 1×
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-authors

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

Showing the 20 most-cited of 154 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1989225
2 1992217
3 2000206
4 2006155
5 1986132
6 1987130
7 2005123
8 2005115
9 198498
10 198996
11 200292
12 198978
13 198972
14 200271
15 198871
16 200270
17 199869
18 198669
19 199369
20 198966

About Michael Saks

Michael Saks is a scholar working on Computational Theory and Mathematics, Artificial Intelligence, Computer Networks and Communications, Discrete Mathematics and Combinatorics and Electrical and Electronic Engineering, having authored 154 papers that have together received 4.6k indexed citations. Recurring topics across this work include Complexity and Algorithms in Graphs (66 papers), Optimization and Search Problems (35 papers), Advanced Graph Theory Research (28 papers), Machine Learning and Algorithms (24 papers), Algorithms and Data Compression (22 papers), Cryptography and Data Security (20 papers), semigroups and automata theory (15 papers) and Distributed systems and fault tolerance (15 papers). The work is most often cited by research in Computational Theory and Mathematics (2.5k citations), Discrete Mathematics and Combinatorics (347 citations), Computer Networks and Communications (1.9k citations), Artificial Intelligence (1.8k citations) and Computer Graphics and Computer-Aided Design (185 citations). Michael Saks has collaborated with scholars based in United States, Israel and Netherlands. Frequent co-authors include Nathan Linial, Allan Borodin, Michael L. Fredman, Ramamohan Paturi, László Lovász, Avi Wigderson, Jeff Kahn, Paul Beame, Lan Yu and Francis Zane. Their work appears in journals such as SIAM Journal on Computing, COMBINATORICA, Discrete Mathematics, Journal of the ACM and Journal of Computer and System Sciences.

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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