Martin Drlík
- Computer Science Applications top 2%
- Information Systems top 10%
- Education top 10%
- Artificial Intelligence top 10%
- Computer Networks and Communications
- Co-authors
- Michal MunkJozef KapustaJozef HvoreckýEugenia Smyrnova‐TrybulskaНаталія МорзеPeter ŠvecTheodora Issa
- Topics
- Online Learning and Analytics (17 papers)Online and Blended Learning (7 papers)Teaching and Learning Programming (6 papers)
- Journals
- SHILAP Revista de lepidopterologíaIEEE AccessSustainability
In The Last Decade
Martin Drlík
37 papers receiving 325 citations
Peers
Comparison fields: 5 of 59
- Computer Science Applications 199
- Information Systems 100
- Education 99
- Artificial Intelligence 92
- Computer Networks and Communications 35
Countries citing papers authored by Martin Drlík
This map shows the geographic impact of Martin Drlík'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 Martin Drlík with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Martin Drlík more than expected).
Fields of papers citing papers by Martin Drlík
This network shows the impact of papers produced by Martin Drlík. 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 Martin Drlík. The network helps show where Martin Drlík may publish in the future.
Co-authorship network of co-authors of Martin Drlík
This figure shows the co-authorship network connecting the top 25 collaborators of Martin Drlík. A scholar is included among the top collaborators of Martin Drlík 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 Martin Drlík. Martin Drlík is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | 8 | |
| 4 | 2 | |
| 5 | 28 | |
| 6 | Discussion Papers on the Topic of More Adequate and Effective ICT Tools Category: Tools for Making Didactic Videos | 1 |
| 7 | 2 | |
| 8 | 7 | |
| 9 | IT Tools in a University e-Learning Environment: Students’ Opinion Survey | 1 |
| 10 | 4 | |
| 11 | 14 | |
| 12 | System for Post-Editing and Automatic Error Classification of Machine Translation | 2 |
| 13 | 1 | |
| 14 | 2 | |
| 15 | 10 | |
| 16 | 9 | |
| 17 | 30 | |
| 18 | 2 | |
| 19 | 8 | |
| 20 | From Question to Queries | 1 |
About Martin Drlík
Martin Drlík is a scholar working on Computer Science Applications, Health Information Management and Information Systems, having authored 39 papers that have together received 348 indexed citations. Recurring topics across this work include Online Learning and Analytics (17 papers), Online and Blended Learning (7 papers) and Teaching and Learning Programming (6 papers). The work is most often cited by research in Computer Science Applications (199 citations), Health Information Management (25 citations) and Information Systems (100 citations). Martin Drlík has collaborated with scholars based in Slovakia, Czechia and Poland. Frequent co-authors include Michal Munk, Jozef Kapusta, Jozef Hvorecký, Eugenia Smyrnova‐Trybulska, Наталія Морзе, Peter Švec and Theodora Issa. Their work appears in journals such as SHILAP Revista de lepidopterología, IEEE Access and Sustainability.
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.