Dominik Strzałka

42 papers receiving 265 citations

Peers

Dominik Strzałka
Comparison fields: 5 of 104
  • Health Informatics 6
  • Management Science and Operations Research 49
  • Modeling and Simulation 15
  • Statistical and Nonlinear Physics 36
  • Human-Computer Interaction 12
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Gianluca Bonifazi Italy
Onur Küçüktunç United States
Amulya Yadav United States
M. Sadiq Ali Khan Pakistan
Roy Lindelauf Netherlands
Wei Deng China
Shuiqiao Yang Australia
Saumik Bhattacharya India
Alec Kirkley Hong Kong
Shuang Gao China
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Citations per year

Countries citing papers authored by Dominik Strzałka

Since Specialization
Citations

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

Fields of papers citing papers by Dominik Strzałka

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Dominik Strzałka, 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 Dominik Strzałka Line = papers co-authored together Dominik Strzałka 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 201728
2 202023
3 201823
4 201722
5 202117
6 200816
7 200815
8 202114
9 202011
10 202210
11
Dynamic Behavior of Simple Insertion Sort Algorithm
200610
12 20219
13 20197
14 20227
15 20207
16 20136
17
Connections Between von Foerster Coalition Growth Model and Tsallis q-Exponential
20095
18
Statistical mechanics of memory pages reads during man-computer system interaction
20114
19 20084
20 20214

About Dominik Strzałka

Dominik Strzałka is a scholar working on Statistical and Nonlinear Physics, Economics and Econometrics, Artificial Intelligence, Computational Theory and Mathematics and Management Science and Operations Research, having authored 45 papers that have together received 283 indexed citations. Recurring topics across this work include Complex Systems and Time Series Analysis (10 papers), Statistical Mechanics and Entropy (8 papers), Multi-Criteria Decision Making (5 papers), Computability, Logic, AI Algorithms (5 papers), Mathematical Dynamics and Fractals (3 papers), Advanced Mathematical Theories and Applications (2 papers), Impact of Technology on Adolescents (2 papers) and Chaos control and synchronization (2 papers). The work is most often cited by research in Health Informatics (6 citations), Management Science and Operations Research (49 citations), Modeling and Simulation (15 citations), Statistical and Nonlinear Physics (36 citations) and Human-Computer Interaction (12 citations). Dominik Strzałka has collaborated with scholars based in Poland, Canada and Czechia. Frequent co-authors include Waldemar W. Koczkodaj, Jiří Mazurek, Mirosław Mazurek, Paweł Dymora, Marc Woodbury‐Smith, James F. Peters, Jesús Montero‐Marín, Krzysztof Rutkowski, Ricardo Araya and Jean-Pierre Magnot. Their work appears in journals such as Physica A Statistical Mechanics and its Applications, IEEE Access, Energies, International Journal of Approximate Reasoning and Applied Sciences.

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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