Michal Burda

982 total citations
56 papers, 616 citations indexed

About

Michal Burda is a scholar working on Artificial Intelligence, Computational Theory and Mathematics and Information Systems. According to data from OpenAlex, Michal Burda has authored 56 papers receiving a total of 616 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Artificial Intelligence, 15 papers in Computational Theory and Mathematics and 10 papers in Information Systems. Recurrent topics in Michal Burda's work include Rough Sets and Fuzzy Logic (14 papers), Fuzzy Logic and Control Systems (12 papers) and Data Mining Algorithms and Applications (10 papers). Michal Burda is often cited by papers focused on Rough Sets and Fuzzy Logic (14 papers), Fuzzy Logic and Control Systems (12 papers) and Data Mining Algorithms and Applications (10 papers). Michal Burda collaborates with scholars based in Czechia, United States and Slovakia. Michal Burda's co-authors include Peter Sklienka, Jan Máca, Pavel Ševčík, Michal Holub, Ondřej Jor, Filip Burša, Martin Štěpnička, Vladimí­r Janout, Aleš Dolný and Jana Janoutová and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Medicine & Science in Sports & Exercise.

In The Last Decade

Michal Burda

52 papers receiving 606 citations

Peers

Michal Burda
Comparison fields: 5 of 115
  • Pulmonary and Respiratory Medicine 175
  • Critical Care and Intensive Care Medicine 119
  • Epidemiology 87
  • Artificial Intelligence 87
  • Computational Theory and Mathematics 66
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Citations per field, relative to Michal Burda
Michal Burda · 1×
Citations per year, relative to Michal Burda
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Countries citing papers authored by Michal Burda

Since Specialization
Citations

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

Fields of papers citing papers by Michal Burda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michal Burda

This figure shows the co-authorship network connecting the top 25 collaborators of Michal Burda. A scholar is included among the top collaborators of Michal Burda 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 Michal Burda. Michal Burda 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 0
3 1
4 0
5 10
6 8
7 6
8 12
9 12
10 16
11 6
12 9
13 11
14 222
15 12
16 6
17
Visualization of Differences in Data Measuring Mathematical Skills.
6
18 1
19
Characteristics of cosymmetric association rules.
1
20
Unsupervised clustering with growing self-organizing neural network - a comparison with non-neural approach
3

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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