Tomáš Foltýnek

1.4k citations
23 papers · 597 indexed · h-index 9
Topics
Academic integrity and plagiarism (19 papers)Artificial Intelligence in Healthcare and Education (4 papers)Topic Modeling (4 papers)

In The Last Decade

Tomáš Foltýnek

21 papers receiving 534 citations

Peers

Tomáš Foltýnek
Comparison fields: 5 of 67
  • Safety Research 341
  • Health Informatics 229
  • Artificial Intelligence 178
  • Information Systems and Management 75
  • Information Systems 61
Replace Jean Guerrero-Dib with:
Jean Guerrero-Dib Mexico
Jasper Roe Singapore
J. Philip East United States
Hao-Fei Cheng United States
Ken Holstein United States
Jess Whittlestone United Kingdom
Ha Ngan Ngo New Zealand
Alexander Amigud Canada
Ana Marasović United States
Mehmet Haldun Kaya Türkiye
Tomáš Foltýnek relative to Jean Guerrero-Dib Mexico Jean Guerrero-Dib's profile →
Citations per field
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Citations per year

Countries citing papers authored by Tomáš Foltýnek

Since Specialization
Citations

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

Fields of papers citing papers by Tomáš Foltýnek

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tomáš Foltýnek

This figure shows the co-authorship network connecting the top 25 collaborators of Tomáš Foltýnek. A scholar is included among the top collaborators of Tomáš Foltýnek 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 Tomáš Foltýnek. Tomáš Foltýnek 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
#WorkIndexed citations
1 3
2 7
3 178
4 56
5 2
6
How to Prevent Plagiarism in Student Work
1
7 68
8 4
9 5
10 106
11 7
12
General Guidelines for Academic Integrity
3
13 39
14 37
15 3
16 38
17 15
18 8
19 3
20 0

About Tomáš Foltýnek

Tomáš Foltýnek is a scholar working on Health Informatics, Safety Research and Computer Science Applications, having authored 23 papers that have together received 597 indexed citations. Recurring topics across this work include Academic integrity and plagiarism (19 papers), Artificial Intelligence in Healthcare and Education (4 papers) and Topic Modeling (4 papers). The work is most often cited by research in Health Informatics (229 citations), Safety Research (341 citations) and Information Systems and Management (75 citations). Tomáš Foltýnek has collaborated with scholars based in Czechia, United Kingdom and Germany. Frequent co-authors include Norman Meuschke, Béla Gipp, Sonja Bjelobaba, Irene Glendinning, Alla Anohina-Naumeca, Debora Weber-Wulff, Jean Guerrero-Dib, Lorna Waddington, Olumide Popoola and Tracey Bretag. Their work appears in journals such as SHILAP Revista de lepidopterología, ACM Computing Surveys and International Journal for Educational Integrity.

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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