A. S. Parvan

497 citations
27 papers · 327 · h-index 10

Impact in

Papers in

A. S. Parvan

24 papers receiving 300 citations

Peers

A. S. Parvan
Comparison fields: 5 of 32
  • Statistical and Nonlinear Physics 252
  • Nuclear and High Energy Physics 154
  • Statistics and Probability 63
  • Modeling and Simulation 17
  • Economics and Econometrics 99
Replace J. M. De Miranda with:
J. M. De Miranda Brazil
Trambak Bhattacharyya India
Károly Ürmössy Hungary
I. Bediaga Brazil
M. Rybczyński Poland
Leonardo J. L. Cirto Brazil
L. Nivanen France
F. S. Navarra Brazil
Giovanni Modanese Italy
Bao-Chun Li China
A. S. Parvan relative to J. M. De Miranda Brazil J. M. De Miranda's profile →
Citations per field
00.5×10×17×
J. M. De Miranda · 1×
Citations per year

Countries citing papers authored by A. S. Parvan

Since Specialization
Citations

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

Fields of papers citing papers by A. S. Parvan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by A. S. Parvan. 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 A. S. Parvan. The network helps show where A. S. Parvan may publish in the future.

Co-authors

The 16 scholars most cited alongside A. S. Parvan, 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 A. S. Parvan Line = papers co-authored together A. S. Parvan links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2013120
2 200532
3 201019
4 200519
5 200619
6 202017
7 202014
8 200012
9 200410
10 20169
11 20177
12 20117
13 20196
14 20186
15 20105
16 20005
17 20213
18 20213
19 20103
20 20233

About A. S. Parvan

A. S. Parvan is a scholar working on Statistical and Nonlinear Physics, Economics and Econometrics, Statistics and Probability, Nuclear and High Energy Physics and Management Science and Operations Research, having authored 27 papers that have together received 327 indexed citations. Recurring topics across this work include Statistical Mechanics and Entropy (25 papers), Complex Systems and Time Series Analysis (13 papers), High-Energy Particle Collisions Research (8 papers), Advanced Thermodynamics and Statistical Mechanics (7 papers), Nuclear physics research studies (5 papers), Probability and Statistical Research (4 papers), Statistical Distribution Estimation and Applications (4 papers) and Forecasting Techniques and Applications (4 papers). The work is most often cited by research in Statistical and Nonlinear Physics (252 citations), Nuclear and High Energy Physics (154 citations), Statistics and Probability (63 citations), Modeling and Simulation (17 citations) and Economics and Econometrics (99 citations). A. S. Parvan has collaborated with scholars based in Russia, Moldova and Romania. Frequent co-authors include Tamás S. Bíró, J. Cleymans, A. S. Sorin, O. V. Teryaev, Trambak Bhattacharyya, В.Д. Тонеев, K. K. Gudima, M. Płoszajczak, Oleg Teryaev and M. D. Azmi. Their work appears in journals such as Physics Letters A, The European Physical Journal A, Physica A Statistical Mechanics and its Applications, Nuclear Physics A and Journal of Physics A Mathematical and Theoretical.

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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