Ervin Tasnádi
- Biophysics top 5%
- Molecular Biology
- Artificial Intelligence
- Computer Vision and Pattern Recognition
- Biomedical Engineering
- Co-authors
- Péter HorváthFilippo PiccininiNikita MoshkovLassi PaavolainenRéka HollandiTamás BalassaTímea TóthKrisztián Koós
- Topics
- Cell Image Analysis Techniques (7 papers)Single-cell and spatial transcriptomics (3 papers)AI in cancer detection (2 papers)
In The Last Decade
Ervin Tasnádi
12 papers receiving 175 citations
Peers
Comparison fields: 5 of 61
- Biophysics 71
- Molecular Biology 58
- Artificial Intelligence 43
- Computer Vision and Pattern Recognition 36
- Biomedical Engineering 31
Countries citing papers authored by Ervin Tasnádi
This map shows the geographic impact of Ervin Tasnádi'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 Ervin Tasnádi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ervin Tasnádi more than expected).
Fields of papers citing papers by Ervin Tasnádi
This network shows the impact of papers produced by Ervin Tasnádi. 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 Ervin Tasnádi. The network helps show where Ervin Tasnádi may publish in the future.
Co-authorship network of co-authors of Ervin Tasnádi
This figure shows the co-authorship network connecting the top 25 collaborators of Ervin Tasnádi. A scholar is included among the top collaborators of Ervin Tasnádi 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 Ervin Tasnádi. Ervin Tasnádi 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 | 19 | |
| 4 | 44 | |
| 5 | 33 | |
| 6 | 14 | |
| 7 | 16 | |
| 8 | 10 | |
| 9 | 26 | |
| 10 | 3 | |
| 11 | 1 | |
| 12 | 6 | |
| 13 | 4 |
About Ervin Tasnádi
Ervin Tasnádi is a scholar working on Biophysics, Media Technology and Artificial Intelligence, having authored 13 papers that have together received 178 indexed citations. Recurring topics across this work include Cell Image Analysis Techniques (7 papers), Single-cell and spatial transcriptomics (3 papers) and AI in cancer detection (2 papers). The work is most often cited by research in Biophysics (71 citations), Media Technology (27 citations) and Structural Biology (3 citations). Ervin Tasnádi has collaborated with scholars based in Hungary, Finland and Italy. Frequent co-authors include Péter Horváth, Filippo Piccinini, Nikita Moshkov, Lassi Paavolainen, Réka Hollandi, Tamás Balassa, Tímea Tóth, Krisztián Koós, József Molnár and Gábor Berend. Their work appears in journals such as Nature Communications, Bioinformatics and Nature Methods.
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.