Máté Kapitány‐Fövény
- Pharmacology top 5%
- Clinical Psychology top 10%
- Biochemistry top 5%
- Toxicology top 2%
- Epidemiology
- Co-authors
- Zsolt DemetrovicsRóbert UrbánOrnella CorazzaMihály SulyokJudit FarkasBalasingam VicknasingamAndrés Román-UrrestarazuAttila Oláh
- Topics
- Forensic Toxicology and Drug Analysis (11 papers)Substance Abuse Treatment and Outcomes (6 papers)Behavioral Health and Interventions (4 papers)
- Cited by
- ToxicologyBiochemistryPharmacology
- Partner nations
- HungaryUnited KingdomGermany
In The Last Decade
Máté Kapitány‐Fövény
34 papers receiving 560 citations
Peers
Comparison fields: 5 of 92
- Pharmacology 159
- Clinical Psychology 155
- Biochemistry 137
- Toxicology 121
- Epidemiology 109
Countries citing papers authored by Máté Kapitány‐Fövény
This map shows the geographic impact of Máté Kapitány‐Fövény'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 Máté Kapitány‐Fövény with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Máté Kapitány‐Fövény more than expected).
Fields of papers citing papers by Máté Kapitány‐Fövény
This network shows the impact of papers produced by Máté Kapitány‐Fövény. 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 Máté Kapitány‐Fövény. The network helps show where Máté Kapitány‐Fövény may publish in the future.
Co-authorship network of co-authors of Máté Kapitány‐Fövény
This figure shows the co-authorship network connecting the top 25 collaborators of Máté Kapitány‐Fövény. A scholar is included among the top collaborators of Máté Kapitány‐Fövény 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 Máté Kapitány‐Fövény. Máté Kapitány‐Fövény is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 0 | |
| 3 | 3 | |
| 4 | 3 | |
| 5 | 4 | |
| 6 | 10 | |
| 7 | 1 | |
| 8 | 2 | |
| 9 | 13 | |
| 10 | 4 | |
| 11 | 36 | |
| 12 | 23 | |
| 13 | 27 | |
| 14 | 19 | |
| 15 | 47 | |
| 16 | 11 | |
| 17 | 20 | |
| 18 | Az Irzelmek Mérése Skála háromfaktoros modelljének adaptálása | 2 |
| 19 | 0 | |
| 20 | 22 |
About Máté Kapitány‐Fövény
Máté Kapitány‐Fövény is a scholar working on Toxicology, Applied Psychology and Neuropsychology and Physiological Psychology, having authored 37 papers that have together received 579 indexed citations. Recurring topics across this work include Forensic Toxicology and Drug Analysis (11 papers), Substance Abuse Treatment and Outcomes (6 papers) and Behavioral Health and Interventions (4 papers). The work is most often cited by research in Toxicology (121 citations), Biochemistry (137 citations) and Pharmacology (159 citations). Máté Kapitány‐Fövény has collaborated with scholars based in Hungary, United Kingdom and Germany. Frequent co-authors include Zsolt Demetrovics, Róbert Urbán, Ornella Corazza, Mihály Sulyok, Judit Farkas, Judit Farkas, Balasingam Vicknasingam, Andrés Román-Urrestarazu, Attila Oláh and Francesco Saverio Bersani. Their work appears in journals such as Personality and Individual Differences, Psychopharmacology and BioMed Research International.
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.