Leszek Siwik

482 citations
24 papers · 143 · h-index 7

Impact in

Papers in

Leszek Siwik

22 papers receiving 138 citations

Peers

Leszek Siwik
Comparison fields: 5 of 55
  • Computational Theory and Mathematics 48
  • Artificial Intelligence 74
  • Transportation 11
  • Industrial and Manufacturing Engineering 14
  • Geography, Planning and Development 7
Replace Yiran Zhao with:
Yiran Zhao China
Yi-Qi Hu China
Frank Phillipson Netherlands
Wil Michiels Netherlands
È. Kh. Gimadi Russia
Jason Pazis United States
Domagoj Matijević Germany
Yann Disser Germany
Dieter Weninger Germany
Nareli Cruz Cortés Mexico
Leszek Siwik relative to Yiran Zhao China Yiran Zhao's profile →
Citations per field
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Citations per year

Countries citing papers authored by Leszek Siwik

Since Specialization
Citations

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

Fields of papers citing papers by Leszek Siwik

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 14 scholars most cited alongside Leszek Siwik, 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 Leszek Siwik Line = papers co-authored together Leszek Siwik links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201550
2 200817
3 202010
4 20069
5 20088
6 20176
7 20176
8 20085
9 20185
10 20104
11 20164
12 20153
13 20072
14 20222
15 20062
16 20192
17 20172
18 20182
19
Agentowo-ewolucyjna platforma obliczeń optymalizacyjnych
20091
20 20211

About Leszek Siwik

Leszek Siwik is a scholar working on Computational Theory and Mathematics, Artificial Intelligence, Computational Mechanics, Signal Processing and Management Science and Operations Research, having authored 24 papers that have together received 143 indexed citations. Recurring topics across this work include Metaheuristic Optimization Algorithms Research (9 papers), Advanced Multi-Objective Optimization Algorithms (9 papers), Evolutionary Algorithms and Applications (6 papers), Advanced Numerical Analysis Techniques (6 papers), Mathematical Biology Tumor Growth (3 papers), Iterative Methods for Nonlinear Equations (2 papers), Polynomial and algebraic computation (2 papers) and Traffic control and management (2 papers). The work is most often cited by research in Computational Theory and Mathematics (48 citations), Artificial Intelligence (74 citations), Transportation (11 citations), Industrial and Manufacturing Engineering (14 citations) and Geography, Planning and Development (7 citations). Leszek Siwik has collaborated with scholars based in Poland, United States and Ireland. Frequent co-authors include Rafał Dreżewski, Aleksander Byrski, Marek Kisiel‐Dorohinicki, Wojciech Turek, R. W. Marcjan, Maciej Woźniak, Maciej Paszyński, Witold Dzwinel, David Pardo and Stephen Barrett. Their work appears in journals such as Journal of Computational Science, Parallel Computing, Transportation Research Part C Emerging Technologies, Journal of Computational and Applied Mathematics and ISPRS International Journal of Geo-Information.

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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