Mario E. Inchiosa

1.6k citations
31 papers · 1.4k · h-index 18

Impact in

Papers in

Mario E. Inchiosa

30 papers receiving 1.3k citations

Peers

Mario E. Inchiosa
Comparison fields: 5 of 89
  • Statistical and Nonlinear Physics 1.2k
  • Computer Networks and Communications 743
  • Statistics, Probability and Uncertainty 222
  • Cognitive Neuroscience 306
  • Global and Planetary Change 312
Replace N. D. Stein with:
N. D. Stein United Kingdom
E. Menichella-Saetta Italy
Brian K. Meadows United States
Canjun Wang China
Gautam Vemuri United States
Roberto R. Deza Argentina
В. В. Астахов Russia
Huiqing Zhang China
Mario E. Inchiosa relative to N. D. Stein United Kingdom N. D. Stein's profile →
Citations per field
00.5×2.6×
N. D. Stein · 1×
Citations per year

Countries citing papers authored by Mario E. Inchiosa

Since Specialization
Citations

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

Fields of papers citing papers by Mario E. Inchiosa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mario E. Inchiosa. 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 Mario E. Inchiosa. The network helps show where Mario E. Inchiosa may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 31 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1995374
2 1996123
3 1999104
4 199698
5 200080
6 199578
7 199651
8 201550
9 200043
10 199539
11 199739
12 199836
13 200036
14 199831
15 199827
16 199827
17 200220
18 200017
19 200116
20 199914

About Mario E. Inchiosa

Mario E. Inchiosa is a scholar working on Statistical and Nonlinear Physics, Computer Networks and Communications, Atomic and Molecular Physics, and Optics, Global and Planetary Change and Statistics, Probability and Uncertainty, having authored 31 papers that have together received 1.4k indexed citations. Recurring topics across this work include stochastic dynamics and bifurcation (22 papers), Nonlinear Dynamics and Pattern Formation (11 papers), Probabilistic and Robust Engineering Design (7 papers), Ecosystem dynamics and resilience (7 papers), Neural dynamics and brain function (4 papers), Diffusion and Search Dynamics (4 papers), Advanced Thermodynamics and Statistical Mechanics (3 papers) and Spectroscopy and Quantum Chemical Studies (3 papers). The work is most often cited by research in Statistical and Nonlinear Physics (1.2k citations), Computer Networks and Communications (743 citations), Statistics, Probability and Uncertainty (222 citations), Cognitive Neuroscience (306 citations) and Global and Planetary Change (312 citations). Mario E. Inchiosa has collaborated with scholars based in United States, Italy and Germany. Frequent co-authors include Adi R. Bulsara, William L. Ditto, John F. Lindner, Brian K. Meadows, L. Gammaitoni, Peter Hänggi, Kurt Wiesenfeld, John W. Robinson, M. Löcher and Joseph Neff. Their work appears in journals such as Physical Review Letters, Physics Letters A, International Journal of Bifurcation and Chaos, Chaos An Interdisciplinary Journal of Nonlinear Science and Europhysics Letters (EPL).

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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