Dániel Veréb
Impact in
- Psychiatry and Mental health top 10%
- Migraine and Headache Studies
Papers in
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- Functional Brain Connectivity Studies 14
- Neural dynamics and brain function 6
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- Multiple Sclerosis Research Studies 7
- Co-authors
- Zsigmond Tamás Kincses (23 shared papers)Bence Bozsik (15 shared papers)László Vécsei (15 shared papers)András Palkó (2 shared papers)Anita Kovács (2 shared papers)András Király (19 shared papers)Eszter Tóth (18 shared papers)Péter Faragó (19 shared papers)
In The Last Decade
Dániel Veréb
31 papers receiving 443 citations
Peers
Comparison fields: 5 of 77
- Psychiatry and Mental health 134
- Biological Psychiatry 20
- Health Informatics 7
- Radiology, Nuclear Medicine and Imaging 110
- Neurology 41
Countries citing papers authored by Dániel Veréb
This map shows the geographic impact of Dániel Veréb'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 Dániel Veréb with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dániel Veréb more than expected).
Fields of papers citing papers by Dániel Veréb
This network shows the impact of papers produced by Dániel Veréb. 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 Dániel Veréb. The network helps show where Dániel Veréb may publish in the future.
Co-authors
The 25 scholars most cited alongside Dániel Veréb, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 35 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 119 | |
| 2 | 2021 | 44 | |
| 3 | 2018 | 39 | |
| 4 | 2019 | 30 | |
| 5 | 2019 | 28 | |
| 6 | 2019 | 26 | |
| 7 | 2019 | 21 | |
| 8 | 2023 | 17 | |
| 9 | 2018 | 11 | |
| 10 | 2020 | 10 | |
| 11 | 2021 | 9 | |
| 12 | 2024 | 8 | |
| 13 | 2023 | 8 | |
| 14 | 2025 | 7 | |
| 15 | Grey matter atrophy in patients suffering from multiple sclerosis. | 2014 | 7 |
| 16 | 2021 | 7 | |
| 17 | 2015 | 7 | |
| 18 | 2023 | 6 | |
| 19 | 2021 | 6 | |
| 20 | 2023 | 5 |
About Dániel Veréb
Dániel Veréb is a scholar working on Cognitive Neuroscience, Pathology and Forensic Medicine, Radiology, Nuclear Medicine and Imaging, Neurology and Psychiatry and Mental health, having authored 35 papers that have together received 446 indexed citations. Recurring topics across this work include Functional Brain Connectivity Studies (14 papers), Multiple Sclerosis Research Studies (7 papers), Neural dynamics and brain function (6 papers), Migraine and Headache Studies (5 papers), Advanced Neuroimaging Techniques and Applications (5 papers), Alzheimer's disease research and treatments (3 papers), Parkinson's Disease Mechanisms and Treatments (3 papers) and Neuroscience and Neuropharmacology Research (2 papers). The work is most often cited by research in Psychiatry and Mental health (134 citations), Biological Psychiatry (20 citations), Health Informatics (7 citations), Radiology, Nuclear Medicine and Imaging (110 citations) and Neurology (41 citations). Dániel Veréb has collaborated with scholars based in Hungary, Sweden and Germany. Frequent co-authors include Zsigmond Tamás Kincses, Bence Bozsik, László Vécsei, András Palkó, Anita Kovács, András Király, Eszter Tóth, Péter Faragó, Nikoletta Szabó and Krisztián Kocsis. Their work appears in journals such as Frontiers in Neurology, The Journal of Headache and Pain, eLife, Alzheimer s Research & Therapy and Scientific Reports.
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.