T. Srokowski

606 citations
45 papers · 469 indexed · h-index 13

Impact in

Papers in

T. Srokowski

44 papers receiving 455 citations

Peers

T. Srokowski
Comparison fields: 5 of 54
  • Modeling and Simulation 126
  • Statistical and Nonlinear Physics 316
  • Nuclear and High Energy Physics 103
  • Mathematical Physics 29
  • Developmental Biology 7
Replace A. Ya. Kazakov with:
A. Ya. Kazakov Russia
Pablo A. Alemany Argentina
Luciano C. Lapas Brazil
Hosein Mohammadzadeh Iran
G.L. Ferri Argentina
P. Douglas United Kingdom
L. V. Tanatarov Ukraine
J. A. Santiago Mexico
R. A. Leo Italy
Julien Barré France
T. Srokowski relative to A. Ya. Kazakov Russia A. Ya. Kazakov's profile →
Citations per field
00.5×4.5×
A. Ya. Kazakov · 1×
Citations per year

Countries citing papers authored by T. Srokowski

Since Specialization
Citations

This map shows the geographic impact of T. Srokowski'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 T. Srokowski with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites T. Srokowski more than expected).

Fields of papers citing papers by T. Srokowski

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 17 scholars most cited alongside T. Srokowski, 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 T. Srokowski Line = papers co-authored together T. Srokowski links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 45 papers — load more, or switch the sort, to bring in the rest.

#Work
1 198836
2 199235
3 200929
4 200927
5 200726
6 200026
7 200824
8 200623
9 201022
10 199121
11 201217
12 199514
13 200413
14 199812
15
201111
16 200110
17 200910
18 20039
19 20148
20 19938

About T. Srokowski

T. Srokowski is a scholar working on Statistical and Nonlinear Physics, Modeling and Simulation, Mathematical Physics, Nuclear and High Energy Physics and Developmental Biology, having authored 45 papers that have together received 469 indexed citations. Recurring topics across this work include stochastic dynamics and bifurcation (17 papers), Fractional Differential Equations Solutions (12 papers), Diffusion and Search Dynamics (11 papers), Advanced Thermodynamics and Statistical Mechanics (10 papers), Statistical Mechanics and Entropy (10 papers), Quantum chaos and dynamical systems (9 papers), Complex Systems and Time Series Analysis (7 papers) and Stochastic processes and statistical mechanics (7 papers). The work is most often cited by research in Modeling and Simulation (126 citations), Statistical and Nonlinear Physics (316 citations), Nuclear and High Energy Physics (103 citations), Mathematical Physics (29 citations) and Developmental Biology (7 citations). T. Srokowski has collaborated with scholars based in Poland, Germany and France. Frequent co-authors include M. Płoszajczak, D. H. E. Gross, K. Möhring, J. Błocki, W.J. Świa̧tecki, H. Homeyer, Stanisław Drożdż, J. Okołowicz, A. Budzanowski and Piotr Zieliński. Their work appears in journals such as Physical Review Letters, Nuclear Physics A, Physical review. E, Physica A Statistical Mechanics and its Applications and Physica B Condensed Matter.

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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