Mihály Sulyok
- Epidemiology
- Modeling and Simulation top 5%
- Infectious Diseases
- Parasitology top 10%
- Public Health, Environmental and Occupational Health
- Co-authors
- Mark WalkerTamás FerenciZita SulyokMáté Kapitány‐FövényIstván Vályi‐NagyMihály MakaraLajos RózsaImre Bodó
- Topics
- Data-Driven Disease Surveillance (10 papers)COVID-19 epidemiological studies (7 papers)Influenza Virus Research Studies (4 papers)
- Partner nations
- GermanyHungaryUnited Kingdom
In The Last Decade
Mihály Sulyok
31 papers receiving 391 citations
Peers
Comparison fields: 5 of 96
- Epidemiology 161
- Modeling and Simulation 94
- Infectious Diseases 64
- Parasitology 54
- Public Health, Environmental and Occupational Health 49
Countries citing papers authored by Mihály Sulyok
This map shows the geographic impact of Mihály Sulyok'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 Mihály Sulyok with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mihály Sulyok more than expected).
Fields of papers citing papers by Mihály Sulyok
This network shows the impact of papers produced by Mihály Sulyok. 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 Mihály Sulyok. The network helps show where Mihály Sulyok may publish in the future.
Co-authorship network of co-authors of Mihály Sulyok
This figure shows the co-authorship network connecting the top 25 collaborators of Mihály Sulyok. A scholar is included among the top collaborators of Mihály Sulyok 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 Mihály Sulyok. Mihály Sulyok is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 4 | |
| 2 | 2 | |
| 3 | 3 | |
| 4 | 8 | |
| 5 | 3 | |
| 6 | 12 | |
| 7 | 1 | |
| 8 | 1 | |
| 9 | 9 | |
| 10 | 82 | |
| 11 | 27 | |
| 12 | 4 | |
| 13 | 6 | |
| 14 | 7 | |
| 15 | 7 | |
| 16 | 18 | |
| 17 | 23 | |
| 18 | 23 | |
| 19 | 18 | |
| 20 | 13 |
About Mihály Sulyok
Mihály Sulyok is a scholar working on Modeling and Simulation, Parasitology and Hepatology, having authored 32 papers that have together received 397 indexed citations. Recurring topics across this work include Data-Driven Disease Surveillance (10 papers), COVID-19 epidemiological studies (7 papers) and Influenza Virus Research Studies (4 papers). The work is most often cited by research in Modeling and Simulation (94 citations), Parasitology (54 citations) and Hepatology (42 citations). Mihály Sulyok has collaborated with scholars based in Germany, Hungary and United Kingdom. Frequent co-authors include Mark Walker, Tamás Ferenci, Zita Sulyok, Máté Kapitány‐Fövény, István Vályi‐Nagy, Mihály Makara, Lajos Rózsa, Imre Bodó, Dennis Tappe and Hardy Richter. Their work appears in journals such as PLoS ONE, Clinical Infectious Diseases and Journal of Clinical Microbiology.
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.