Mark M. Millonas

1.5k citations
20 papers · 819 · h-index 15

Impact in

Papers in

Mark M. Millonas

19 papers receiving 801 citations

Peers

Mark M. Millonas
Comparison fields: 5 of 75
  • Statistical and Nonlinear Physics 577
  • Computer Networks and Communications 245
  • Statistics, Probability and Uncertainty 47
  • Condensed Matter Physics 63
  • Atomic and Molecular Physics, and Optics 158
Replace Seon Hee Park with:
Seon Hee Park South Korea
P. H�nggi Germany
Leone Fronzoni Italy
Brian K. Meadows United States
M. Borromeo Italy
J. M. Casado Spain
Thomas Wellens Germany
Sándor Kádár United States
Roberto R. Deza Argentina
James W. Swift United States
Mark M. Millonas relative to Seon Hee Park South Korea Seon Hee Park's profile →
Citations per field
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Seon Hee Park · 1×
Citations per year

Countries citing papers authored by Mark M. Millonas

Since Specialization
Citations

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

Fields of papers citing papers by Mark M. Millonas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 13 scholars most cited alongside Mark M. Millonas, 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 Mark M. Millonas Line = papers co-authored together Mark M. Millonas links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 1994150
2 1995117
3 199584
4 199479
5 199575
6 200348
7 199737
8 199234
9 199533
10 199630
11 199626
12 199825
13 199818
14 200514
15 199514
16 199212
17 199712
18 200210
19 19871
20 20110

About Mark M. Millonas

Mark M. Millonas is a scholar working on Statistical and Nonlinear Physics, Atomic and Molecular Physics, and Optics, Computer Networks and Communications, Molecular Biology and Cellular and Molecular Neuroscience, having authored 20 papers that have together received 819 indexed citations. Recurring topics across this work include stochastic dynamics and bifurcation (12 papers), Spectroscopy and Quantum Chemical Studies (7 papers), Advanced Thermodynamics and Statistical Mechanics (6 papers), Nonlinear Dynamics and Pattern Formation (5 papers), Ecosystem dynamics and resilience (2 papers), Quantum and electron transport phenomena (2 papers), Electrochemical Analysis and Applications (2 papers) and Origins and Evolution of Life (2 papers). The work is most often cited by research in Statistical and Nonlinear Physics (577 citations), Computer Networks and Communications (245 citations), Statistics, Probability and Uncertainty (47 citations), Condensed Matter Physics (63 citations) and Atomic and Molecular Physics, and Optics (158 citations). Mark M. Millonas has collaborated with scholars based in United States. Frequent co-authors include Dante R. Chialvo, M. I. Dykman, Erik Rauch, Vadim Smelyanskiy, Dorothy A. Hanck, Ronald F. Fox, Chris Ray, L. E. Reichl, J L Glover and Leslie D. Montgomery. Their work appears in journals such as Physical Review Letters, Physics Letters A, Journal of Theoretical Biology, Surface Science and American Journal of Physiology-Heart and Circulatory Physiology.

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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