Michal Munk

1.6k total citations
101 papers, 875 citations indexed

About

Michal Munk is a scholar working on Artificial Intelligence, Information Systems and Education. According to data from OpenAlex, Michal Munk has authored 101 papers receiving a total of 875 indexed citations (citations by other indexed papers that have themselves been cited), including 41 papers in Artificial Intelligence, 33 papers in Information Systems and 19 papers in Education. Recurrent topics in Michal Munk's work include Data Mining Algorithms and Applications (16 papers), Natural Language Processing Techniques (12 papers) and Topic Modeling (10 papers). Michal Munk is often cited by papers focused on Data Mining Algorithms and Applications (16 papers), Natural Language Processing Techniques (12 papers) and Topic Modeling (10 papers). Michal Munk collaborates with scholars based in Slovakia, Czechia and Poland. Michal Munk's co-authors include Petr Hájek, Jozef Kapusta, Martin Drlík, Aliaksandr Barushka, Alena Hašková, Md. Jahidul Islam, Md. Shahriare Satu, Mohammad Zoynul Abedin, Jozef Hvorecký and Zoltán Balogh and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Scientific Reports.

In The Last Decade

Michal Munk

90 papers receiving 808 citations

Peers

Michal Munk
Comparison fields: 5 of 113
  • Information Systems 347
  • Artificial Intelligence 340
  • Education 112
  • Sociology and Political Science 111
  • Computer Science Applications 101
Replace Ibrahim Almarashdeh with:
Ibrahim Almarashdeh Saudi Arabia
Ali Alkhalifah Saudi Arabia
Ruzaini Abdullah Arshah Malaysia
Mohammed Akour Jordan
Maristela Holanda Brazil
Arif Ridho Lubis Indonesia
Sri Suning Kusumawardani Indonesia
David Lizcano Spain
Muharman Lubis Indonesia
Vinícius Cardoso Garcia Brazil
Ibrahim Almarashdeh Saudi Arabia View profile →
Citations per field, relative to Michal Munk
Michal Munk · 1×
Citations per year, relative to Michal Munk
Michal Munk · 1×

Countries citing papers authored by Michal Munk

Since Specialization
Citations

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

Fields of papers citing papers by Michal Munk

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michal Munk

This figure shows the co-authorship network connecting the top 25 collaborators of Michal Munk. A scholar is included among the top collaborators of Michal Munk 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 Munk. Michal Munk 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 14
4 4
5 0
6 66
7 7
8 2
9 6
10 3
11 11
12 0
13 3
14 7
15 5
16 7
17
Analysis of Social and Expressive Factors of Requests by Methods of Text Mining
2
18
Analysis of students' behaviour in the web-based distance learning environment
5
19
Assessment of the Status of Teaching Subjects Informatics and Programming in Terms of Selected Factors.
2
20
Analysis of Chosen Adaptive Techniques for Personalization Purposes
1

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026