Michael Assaf

2.5k citations
62 papers · 1.3k · h-index 23

Impact in

Papers in

Michael Assaf

57 papers receiving 1.3k citations

Peers

Michael Assaf
Comparison fields: 5 of 123
  • Modeling and Simulation 155
  • Statistical and Nonlinear Physics 424
  • Genetics 444
  • Biological Psychiatry 30
  • Behavioral Neuroscience 32
Replace T. J. Newman with:
T. J. Newman United States
Simone Pigolotti Japan
Yen Ting Lin United States
Leah B. Shaw United States
Guy Bunin Israel
L.H.A. Monteiro Brazil
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Citations per year

Countries citing papers authored by Michael Assaf

Since Specialization
Citations

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

Fields of papers citing papers by Michael Assaf

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Michael Assaf, 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 Assaf Line = papers co-authored together Michael Assaf links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 62 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2010133
2 2014105
3 201191
4 200670
5 201363
6 201361
7 201160
8 202259
9 200844
10 200741
11 201536
12 202032
13 202229
14 202228
15 200628
16 201327
17 200927
18 201527
19 201226
20
Fixation in evolutionary games under non-vanishing selection
201023

About Michael Assaf

Michael Assaf is a scholar working on Statistical and Nonlinear Physics, Molecular Biology, Genetics, Public Health, Environmental and Occupational Health and Sociology and Political Science, having authored 62 papers that have together received 1.3k indexed citations. Recurring topics across this work include Evolution and Genetic Dynamics (17 papers), Gene Regulatory Network Analysis (17 papers), stochastic dynamics and bifurcation (13 papers), Mathematical and Theoretical Epidemiology and Ecology Models (12 papers), Evolutionary Game Theory and Cooperation (8 papers), COVID-19 epidemiological studies (7 papers), Complex Network Analysis Techniques (7 papers) and Ecosystem dynamics and resilience (6 papers). The work is most often cited by research in Modeling and Simulation (155 citations), Statistical and Nonlinear Physics (424 citations), Genetics (444 citations), Biological Psychiatry (30 citations) and Behavioral Neuroscience (32 citations). Michael Assaf has collaborated with scholars based in Israel, United States and United Kingdom. Frequent co-authors include Baruch Meerson, Elijah Roberts, Mauro Mobilia, Zaida Luthey‐Schulten, Miri Cohen, Gershon Volpin, Shimon Pollack, Nigel Goldenfeld, Alex Kamenev and Ohad Vilk. Their work appears in journals such as Physical Review Letters, Physical review. E, Physical Review Research, Current Biology and Injury.

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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