M. Friedman

3.1k total citations · 1 hit paper
69 papers, 2.4k citations indexed

About

M. Friedman is a scholar working on Artificial Intelligence, Statistical and Nonlinear Physics and Management Science and Operations Research. According to data from OpenAlex, M. Friedman has authored 69 papers receiving a total of 2.4k indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Artificial Intelligence, 13 papers in Statistical and Nonlinear Physics and 13 papers in Management Science and Operations Research. Recurrent topics in M. Friedman's work include Multi-Criteria Decision Making (12 papers), Fuzzy Logic and Control Systems (12 papers) and Fuzzy Systems and Optimization (11 papers). M. Friedman is often cited by papers focused on Multi-Criteria Decision Making (12 papers), Fuzzy Logic and Control Systems (12 papers) and Fuzzy Systems and Optimization (11 papers). M. Friedman collaborates with scholars based in United States, Israel and Austria. M. Friedman's co-authors include Abraham Kandel, Ron Milo, G. Langholz, Frank W. Sellke, Edwina L. Rissland, Michael Simons, Elazer R. Edelman, Pottumarthi V. Prasad, Kazumasa Harada and Ming Ma and has published in prestigious journals such as Journal of Clinical Investigation, The Journal of Chemical Physics and Journal of Computational Physics.

In The Last Decade

M. Friedman

64 papers receiving 2.3k citations

Hit Papers

Complex fuzzy sets 2002 2026 2010 2018 2002 200 400 600

Peers

M. Friedman
Comparison fields: 5 of 162
  • Management Science and Operations Research 1.0k
  • Artificial Intelligence 656
  • Statistics and Probability 456
  • Molecular Biology 389
  • Control and Systems Engineering 355
Replace Menahem Friedman with:
Menahem Friedman Israel
Jung-Hsien Chiang Taiwan
Claude Berge France
Jing Wang China
Eugene Wong Australia
Peter Taylor Australia
Yang Feng United States
Hugues Bersini Belgium
J. Sunil Rao United States
Yuan Ji United States
Menahem Friedman Israel View profile →
Citations per field, relative to M. Friedman
M. Friedman · 1×
Citations per year, relative to M. Friedman
M. Friedman · 1×

Countries citing papers authored by M. Friedman

Since Specialization
Citations

This map shows the geographic impact of M. Friedman'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 M. Friedman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites M. Friedman more than expected).

Fields of papers citing papers by M. Friedman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by M. Friedman. 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 M. Friedman. The network helps show where M. Friedman may publish in the future.

Co-authorship network of co-authors of M. Friedman

This figure shows the co-authorship network connecting the top 25 collaborators of M. Friedman. A scholar is included among the top collaborators of M. Friedman based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with M. Friedman. M. Friedman is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 3
2 7
3 14
4 1
5 5
6 4
7 4
8 41
9 4
10 9
11 11
12 5
13 25
14 234
15
Heuristic harvesting of information for case-based argument
10
16 10
17 34
18 17
19 6
20 25

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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2026