Martin Magdin
- Information Systems top 10%
- Artificial Intelligence
- Education
- Cognitive Neuroscience
- Experimental and Cognitive Psychology
- Co-authors
- Zoltán BaloghGyörgy MolnárAttila KőváriJozef KapustaRóbert PintérKatalin NagyZoltán Szűts
- Topics
- Emotion and Mood Recognition (5 papers)IoT-based Smart Home Systems (4 papers)Face and Expression Recognition (3 papers)
- Cited by
- Computer Science ApplicationsHuman-Computer InteractionExperimental and Cognitive Psychology
- Journals
- SHILAP Revista de lepidopterologíaScientific ReportsIEEE Access
In The Last Decade
Martin Magdin
41 papers receiving 281 citations
Peers
Comparison fields: 5 of 82
- Information Systems 58
- Artificial Intelligence 52
- Education 49
- Cognitive Neuroscience 46
- Experimental and Cognitive Psychology 43
Countries citing papers authored by Martin Magdin
This map shows the geographic impact of Martin Magdin'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 Magdin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Martin Magdin more than expected).
Fields of papers citing papers by Martin Magdin
This network shows the impact of papers produced by Martin Magdin. 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 Magdin. The network helps show where Martin Magdin may publish in the future.
Co-authorship network of co-authors of Martin Magdin
This figure shows the co-authorship network connecting the top 25 collaborators of Martin Magdin. A scholar is included among the top collaborators of Martin Magdin 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 Magdin. Martin Magdin 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 | 2 | |
| 3 | 1 | |
| 4 | 2 | |
| 5 | 2 | |
| 6 | 15 | |
| 7 | 21 | |
| 8 | 33 | |
| 9 | 5 | |
| 10 | 3 | |
| 11 | 23 | |
| 12 | 29 | |
| 13 | 1 | |
| 14 | 2 | |
| 15 | Modeling Behavior of Students in E-Learning Courses on the Basis of Use Interactive Animations | 6 |
| 16 | Even in E-Learning Is Important to Do Your Own Notes!. | 2 |
| 17 | Personalization of Student in Course Management Systems on the Basis Using Method of Data Mining. | 11 |
| 18 | New Trends and Developments in Automation in Agriculture | 1 |
| 19 | 5 | |
| 20 | The impact of interactivity on Students´ results when passing through an e-learning course | 7 |
About Martin Magdin
Martin Magdin is a scholar working on Experimental and Cognitive Psychology, Information Systems and Computer Science Applications, having authored 42 papers that have together received 300 indexed citations. Recurring topics across this work include Emotion and Mood Recognition (5 papers), IoT-based Smart Home Systems (4 papers) and Face and Expression Recognition (3 papers). The work is most often cited by research in Computer Science Applications (41 citations), Human-Computer Interaction (25 citations) and Experimental and Cognitive Psychology (43 citations). Martin Magdin has collaborated with scholars based in Slovakia, Hungary and Algeria. Frequent co-authors include Zoltán Balogh, György Molnár, Attila Kővári, Jozef Kapusta, Róbert Pintér, Katalin Nagy and Zoltán Szűts. Their work appears in journals such as SHILAP Revista de lepidopterología, Scientific Reports and IEEE Access.
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.