M. Gitterman

3.1k citations
151 papers · 2.5k · h-index 26

Impact in

Papers in

M. Gitterman

149 papers receiving 2.4k citations

Peers

M. Gitterman
Comparison fields: 5 of 108
  • Statistical and Nonlinear Physics 1.7k
  • Statistics, Probability and Uncertainty 372
  • Modeling and Simulation 223
  • Computer Networks and Communications 714
  • Condensed Matter Physics 288
Replace J. Łuczka with:
J. Łuczka Poland
Natsuki Hashitsume Japan
Kazuo Kitahara Japan
W. T. Coffey Ireland
S. Santucci Italy
M. Malek Mansour Belgium
Jorge Viñals United States
Alejandro L. Garcia United States
Jing-Dong Bao China
Claude Godrèche France
M. Gitterman relative to J. Łuczka Poland J. Łuczka's profile →
Citations per field
00.5×4.2×
J. Łuczka · 1×
Citations per year

Countries citing papers authored by M. Gitterman

Since Specialization
Citations

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

Fields of papers citing papers by M. Gitterman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 151 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1999171
2 2005136
3 1996100
4 200495
5 200389
6 200088
7 200187
8 200084
9 200578
10 199278
11 200567
12 197864
13 200151
14 198142
15 201134
16 201332
17 199531
18 201031
19 199731
20 199630

About M. Gitterman

M. Gitterman is a scholar working on Statistical and Nonlinear Physics, Atomic and Molecular Physics, and Optics, Computer Networks and Communications, Condensed Matter Physics and Materials Chemistry, having authored 151 papers that have together received 2.5k indexed citations. Recurring topics across this work include Advanced Thermodynamics and Statistical Mechanics (51 papers), stochastic dynamics and bifurcation (51 papers), Nonlinear Dynamics and Pattern Formation (28 papers), Theoretical and Computational Physics (20 papers), Ecosystem dynamics and resilience (11 papers), Physics of Superconductivity and Magnetism (11 papers), Spectroscopy and Quantum Chemical Studies (11 papers) and Diffusion and Search Dynamics (10 papers). The work is most often cited by research in Statistical and Nonlinear Physics (1.7k citations), Statistics, Probability and Uncertainty (372 citations), Modeling and Simulation (223 citations), Computer Networks and Communications (714 citations) and Condensed Matter Physics (288 citations). M. Gitterman has collaborated with scholars based in Israel, United States and Russia. Frequent co-authors include V. Berdichevsky, George H. Weiss, Itamar Procaccia, Victor Steinberg, B. Ya. Shapiro, I. Shapiro, Igor S. Aranson, Yitzhak Rabin, V. I. Klyatskin and Stanislav Burov. Their work appears in journals such as Journal of Statistical Physics, Physica A Statistical Mechanics and its Applications, Physical review. B, Condensed matter, The Journal of Chemical Physics and Physica C Superconductivity.

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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