Michał Bereta

835 total citations
31 papers, 639 citations indexed

About

Michał Bereta is a scholar working on Molecular Biology, Artificial Intelligence and Immunology. According to data from OpenAlex, Michał Bereta has authored 31 papers receiving a total of 639 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 7 papers in Artificial Intelligence and 7 papers in Immunology. Recurrent topics in Michał Bereta's work include Nitric Oxide and Endothelin Effects (5 papers), Face and Expression Recognition (5 papers) and Artificial Immune Systems Applications (5 papers). Michał Bereta is often cited by papers focused on Nitric Oxide and Endothelin Effects (5 papers), Face and Expression Recognition (5 papers) and Artificial Immune Systems Applications (5 papers). Michał Bereta collaborates with scholars based in Poland, United States and Canada. Michał Bereta's co-authors include Joanna Bereta, Marion C. Cohen, Tadeusz Burczyński, Witold Pedrycz, Marek Reformat, Janusz Marcinkiewicz, Stanley Cohen, Howard L. Kaufman, Paweł Karczmarek and Dylan R. Edwards and has published in prestigious journals such as SHILAP Revista de lepidopterología, The Journal of Immunology and Biochemical and Biophysical Research Communications.

In The Last Decade

Michał Bereta

29 papers receiving 617 citations

Peers

Michał Bereta
Comparison fields: 5 of 118
  • Molecular Biology 195
  • Immunology 152
  • Biomedical Engineering 77
  • Cancer Research 77
  • Computer Vision and Pattern Recognition 76
Replace Satoshi Nishimura with:
Satoshi Nishimura Japan
Hironobu Yamashita Japan
Christine Chan United States
Gavin J. Gordon United States
Liqian Zhang China
Konstantinos Sidiropoulos United Kingdom
Hong Guo China
Yongjun Piao China
Julia S. Brunner Austria
Satoshi Nishimura Japan View profile →
Citations per field, relative to Michał Bereta
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Citations per year, relative to Michał Bereta
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Countries citing papers authored by Michał Bereta

Since Specialization
Citations

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

Fields of papers citing papers by Michał Bereta

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michał Bereta

This figure shows the co-authorship network connecting the top 25 collaborators of Michał Bereta. A scholar is included among the top collaborators of Michał Bereta 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 Michał Bereta. Michał Bereta 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
# Work Indexed citations
1 0
2 2
3 2
4 33
5 1
6 14
7
Flow cytometry application for studies on adenosine A2A receptors expression.
1
8 21
9
Immune K-Means : a novel immune algorithm for data clustering and multiple-class discrimination
1
10 32
11 16
12 65
13 27
14 31
15 51
16 28
17 27
18 15
19 26
20 9

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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