M. Borromeo

961 citations
32 papers · 834 · h-index 18

Impact in

Papers in

M. Borromeo

31 papers receiving 810 citations

Peers

M. Borromeo
Comparison fields: 5 of 45
  • Statistical and Nonlinear Physics 722
  • Computer Networks and Communications 271
  • Atomic and Molecular Physics, and Optics 267
  • Statistics, Probability and Uncertainty 55
  • Global and Planetary Change 115
Replace Roberto R. Deza with:
Roberto R. Deza Argentina
S. M. Soskin United Kingdom
Jesús Casado‐Pascual Spain
F. Marchesoni Italy
H. D. Vollmer Germany
N. D. Stein United Kingdom
P. H�nggi Germany
J. M. Liu United States
S. Denisov Germany
Carlo Presilla Italy
M. Borromeo relative to Roberto R. Deza Argentina Roberto R. Deza's profile →
Citations per field
00.5×1.5×1.8×
Roberto R. Deza · 1×
Citations per year

Countries citing papers authored by M. Borromeo

Since Specialization
Citations

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

Fields of papers citing papers by M. Borromeo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 19 scholars most cited alongside M. Borromeo, 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. Borromeo Line = papers co-authored together M. Borromeo links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 32 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200666
2 200765
3 200255
4 201050
5 200550
6 199946
7 200645
8 200743
9 199843
10 200442
11 201140
12 200539
13 200229
14 199228
15 200026
16 200525
17 200523
18 201020
19 200017
20 198815

About M. Borromeo

M. Borromeo is a scholar working on Statistical and Nonlinear Physics, Atomic and Molecular Physics, and Optics, Computer Networks and Communications, Molecular Biology and Cognitive Neuroscience, having authored 32 papers that have together received 834 indexed citations. Recurring topics across this work include stochastic dynamics and bifurcation (24 papers), Nonlinear Dynamics and Pattern Formation (12 papers), Advanced Thermodynamics and Statistical Mechanics (10 papers), Spectroscopy and Quantum Chemical Studies (6 papers), Diffusion and Search Dynamics (5 papers), Nuclear physics research studies (4 papers), Neural dynamics and brain function (4 papers) and Quantum chaos and dynamical systems (3 papers). The work is most often cited by research in Statistical and Nonlinear Physics (722 citations), Computer Networks and Communications (271 citations), Atomic and Molecular Physics, and Optics (267 citations), Statistics, Probability and Uncertainty (55 citations) and Global and Planetary Change (115 citations). M. Borromeo has collaborated with scholars based in Italy, United States and Germany. Frequent co-authors include Fabio Marchesoni, F. Marchesoni, Giulio Costantini, Simone Giusepponi, F. Marchesoni, Pulak K. Ghosh, H. Müther, A. Polls, Dennis Bonatsos and Ricardo A. Broglia. Their work appears in journals such as Nuclear Physics A, Physical Review Letters, Physica A Statistical Mechanics and its Applications, Europhysics Letters (EPL) and Chemical Physics.

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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