N. D. Stein

1.2k citations
37 papers · 1.0k indexed · h-index 16

Impact in

Papers in

N. D. Stein

37 papers receiving 983 citations

Peers

N. D. Stein
Comparison fields: 5 of 56
  • Statistical and Nonlinear Physics 931
  • Statistics, Probability and Uncertainty 183
  • Computer Networks and Communications 482
  • Global and Planetary Change 254
  • Atomic and Molecular Physics, and Optics 200
Replace E. Menichella-Saetta with:
E. Menichella-Saetta Italy
F. Marchesoni Italy
Wu Da-Jin China
Roland Bartussek Germany
N. V. Agudov Russia
P. H�nggi Germany
M. Borromeo Italy
Mark M. Millonas United States
Mangal C. Mahato India
N. D. Stein relative to E. Menichella-Saetta Italy E. Menichella-Saetta's profile →
Citations per field
00.5×3.8×
E. Menichella-Saetta · 1×
Citations per year

Countries citing papers authored by N. D. Stein

Since Specialization
Citations

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

Fields of papers citing papers by N. D. Stein

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by N. D. Stein. 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 N. D. Stein. The network helps show where N. D. Stein may publish in the future.

Co-authors

The 23 scholars most cited alongside N. D. Stein, 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 N. D. Stein Line = papers co-authored together N. D. Stein links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 37 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1995157
2 1993136
3 1992111
4 199269
5 199456
6 199350
7 199347
8 199243
9 199141
10 199341
11 199340
12 199428
13 199627
14 199223
15 199419
16 199319
17 199614
18 200012
19 199812
20 199311

About N. D. Stein

N. D. Stein is a scholar working on Statistical and Nonlinear Physics, Computer Networks and Communications, Atomic and Molecular Physics, and Optics, Global and Planetary Change and Molecular Biology, having authored 37 papers that have together received 1.0k indexed citations. Recurring topics across this work include stochastic dynamics and bifurcation (28 papers), Nonlinear Dynamics and Pattern Formation (18 papers), Advanced Thermodynamics and Statistical Mechanics (14 papers), Ecosystem dynamics and resilience (7 papers), Spectroscopy and Quantum Chemical Studies (6 papers), Neural dynamics and brain function (4 papers), Diffusion and Search Dynamics (3 papers) and Semiconductor Quantum Structures and Devices (2 papers). The work is most often cited by research in Statistical and Nonlinear Physics (931 citations), Statistics, Probability and Uncertainty (183 citations), Computer Networks and Communications (482 citations), Global and Planetary Change (254 citations) and Atomic and Molecular Physics, and Optics (200 citations). N. D. Stein has collaborated with scholars based in United Kingdom, Italy and United States. Frequent co-authors include P. V. E. McClintock, N. G. Stocks, M. I. Dykman, D. G. Luchinsky, R. Mannella, S. M. Soskin, I. Kh. Kaufman, I. I. Fedchenia, Hermann Haken and Gang Hu. Their work appears in journals such as Physical Review Letters, Physical Review A, Journal of Statistical Physics, Physics Letters A and International Journal of Bifurcation and Chaos.

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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