Marek Kisiel‐Dorohinicki

1.2k total citations
69 papers, 452 citations indexed

About

Marek Kisiel‐Dorohinicki is a scholar working on Artificial Intelligence, Computer Networks and Communications and Computational Theory and Mathematics. According to data from OpenAlex, Marek Kisiel‐Dorohinicki has authored 69 papers receiving a total of 452 indexed citations (citations by other indexed papers that have themselves been cited), including 49 papers in Artificial Intelligence, 14 papers in Computer Networks and Communications and 10 papers in Computational Theory and Mathematics. Recurrent topics in Marek Kisiel‐Dorohinicki's work include Metaheuristic Optimization Algorithms Research (33 papers), Evolutionary Algorithms and Applications (19 papers) and Multi-Agent Systems and Negotiation (12 papers). Marek Kisiel‐Dorohinicki is often cited by papers focused on Metaheuristic Optimization Algorithms Research (33 papers), Evolutionary Algorithms and Applications (19 papers) and Multi-Agent Systems and Negotiation (12 papers). Marek Kisiel‐Dorohinicki collaborates with scholars based in Poland, Belgium and United States. Marek Kisiel‐Dorohinicki's co-authors include Aleksander Byrski, Leszek Siwik, Rafał Dreżewski, Krzysztof Socha, Wojciech Turek, R. J. Debski, Samee U. Khan, Ewa Niewiadomska‐Szynkiewicz, Lizhe Wang and Albert Y. Zomaya and has published in prestigious journals such as SHILAP Revista de lepidopterología, Energy and Applied Soft Computing.

In The Last Decade

Marek Kisiel‐Dorohinicki

65 papers receiving 429 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Marek Kisiel‐Dorohinicki Poland 12 241 142 91 56 40 69 452
Jinyun Xue China 11 251 1.0× 76 0.5× 57 0.6× 110 2.0× 73 1.8× 51 510
C. Raghavendra Rao India 11 90 0.4× 86 0.6× 72 0.8× 65 1.2× 47 1.2× 57 367
Adilson Marques da Cunha Brazil 11 163 0.7× 65 0.5× 207 2.3× 19 0.3× 13 0.3× 96 483
Hossein Azgomi Iran 13 122 0.5× 126 0.9× 126 1.4× 41 0.7× 30 0.8× 21 419
Raja Masadeh Jordan 11 130 0.5× 125 0.9× 141 1.5× 31 0.6× 22 0.6× 15 382
Daniele Apiletti Italy 15 184 0.8× 119 0.8× 112 1.2× 26 0.5× 56 1.4× 48 532
Yezid Donoso Colombia 11 85 0.4× 358 2.5× 61 0.7× 43 0.8× 32 0.8× 81 515
Shikha Mehta India 13 233 1.0× 148 1.0× 148 1.6× 34 0.6× 16 0.4× 54 538
José Luis Flores Spain 13 176 0.7× 132 0.9× 87 1.0× 19 0.3× 18 0.5× 28 511
Sahra Sedigh United States 14 129 0.5× 223 1.6× 140 1.5× 17 0.3× 29 0.7× 64 658

Countries citing papers authored by Marek Kisiel‐Dorohinicki

Since Specialization
Citations

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

Fields of papers citing papers by Marek Kisiel‐Dorohinicki

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Marek Kisiel‐Dorohinicki. 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 Marek Kisiel‐Dorohinicki. The network helps show where Marek Kisiel‐Dorohinicki may publish in the future.

Co-authorship network of co-authors of Marek Kisiel‐Dorohinicki

This figure shows the co-authorship network connecting the top 25 collaborators of Marek Kisiel‐Dorohinicki. A scholar is included among the top collaborators of Marek Kisiel‐Dorohinicki based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Marek Kisiel‐Dorohinicki. Marek Kisiel‐Dorohinicki is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
2.
Rutkowska, Danuta, Piotr Duda, Jinde Cao, et al.. (2024). Probabilistic neural networks for incremental learning over time-varying streaming data with application to air pollution monitoring. Applied Soft Computing. 161. 111702–111702. 2 indexed citations
3.
Kisiel‐Dorohinicki, Marek, Leszek Rutkowski, Piotr Duda, et al.. (2024). (µ + λ) Evolution Strategy with Socio-cognitive Mutation. Journal of Automation Mobile Robotics & Intelligent Systems. 1–11. 1 indexed citations
4.
Rutkowski, Leszek, et al.. (2024). Ant colony optimization using two-dimensional pheromone for single-objective transport problems. Journal of Computational Science. 79. 102308–102308. 4 indexed citations
5.
Chong, Siang Yew, et al.. (2024). Portfolio Optimization with Translation of Representation for Transport Problems. Journal of Artificial Intelligence and Soft Computing Research. 15(1). 57–75. 1 indexed citations
6.
Kisiel‐Dorohinicki, Marek, et al.. (2023). Incident Detection with Pruned Residual Multilayer Perceptron Networks. SHILAP Revista de lepidopterología. 35. 1143–1148. 1 indexed citations
7.
Łapa, Krystian, et al.. (2022). Multi-Population-Based Algorithm with an Exchange of Training Plans Based on Population Evaluation. Journal of Artificial Intelligence and Soft Computing Research. 12(4). 239–253. 1 indexed citations
8.
Kisiel‐Dorohinicki, Marek, et al.. (2022). Reproduction operators in solving LABS problem using EMAS meta-heuristic with various local optimization techniques. Journal of Information and Telecommunication. 7(1). 29–43. 1 indexed citations
9.
Smółka, Maciej, Marek Kisiel‐Dorohinicki, Aleksander Byrski, et al.. (2022). Socio-cognitive Optimization of Time-delay Control Problems using Agent-based Metaheuristics. 1–7. 3 indexed citations
10.
Gruszecka‐Kosowska, Agnieszka, et al.. (2021). Human Health Risk Assessment of Air Pollution in the Regions of Unsustainable Heating Sources. Case Study—The Tourist Areas of Southern Poland. Atmosphere. 12(5). 615–615. 12 indexed citations
11.
Adamiec, Ewa, et al.. (2019). Using Medium-Cost Sensors to Estimate Air Quality in Remote Locations. Case Study of Niedzica, Southern Poland. Atmosphere. 10(7). 393–393. 11 indexed citations
12.
Byrski, Aleksander, et al.. (2014). Computing agents for decision support systems. Future Generation Computer Systems. 37. 390–400. 21 indexed citations
13.
Kisiel‐Dorohinicki, Marek, et al.. (2013). Verifying data integration agents with deduction-based models. Federated Conference on Computer Science and Information Systems. 1029–1035. 2 indexed citations
14.
Kisiel‐Dorohinicki, Marek. (2013). Evolutionary Multi-Agent Systems in Non-Stationary Environments. SHILAP Revista de lepidopterología. 14(4). 563–563. 1 indexed citations
15.
Byrski, Aleksander, R. J. Debski, & Marek Kisiel‐Dorohinicki. (2012). Agent-based computing in an augmented cloud environment.. Computer Systems: Science & Engineering. 27. 13 indexed citations
16.
Byrski, Aleksander, et al.. (2012). Advances in Intelligent Modelling and Simulation: Simulation Tools and Applications. CERN Document Server (European Organization for Nuclear Research). 3 indexed citations
17.
Byrski, Aleksander, et al.. (2011). Agent-Based Integration of Data Acquired from Heterogeneous Sources. 95. 473–477. 1 indexed citations
18.
Byrski, Aleksander, Marek Kisiel‐Dorohinicki, & Marco Carvalho. (2010). A Crisis Management Approach To Mission Survivability In Computational Multi-Agent Systems. SHILAP Revista de lepidopterología. 5 indexed citations
19.
Kisiel‐Dorohinicki, Marek, et al.. (2008). Anti-Crisis Management of City Traffic Using Agent-Based Approach.. JUCS - Journal of Universal Computer Science. 14. 2359–2380. 8 indexed citations
20.
Kisiel‐Dorohinicki, Marek, et al.. (2001). Dual nature of mass multi-agent systems.. Systems Science. 27. 77–95. 2 indexed citations

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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