Dániel Bereczki
- Neurology top 1%
- Epidemiology top 5%
- Radiology, Nuclear Medicine and Imaging top 2%
- Cardiology and Cardiovascular Medicine top 5%
- Pulmonary and Respiratory Medicine top 5%
- Co-authors
- István FeketeLászló CsibaBéla FülesdiZsuzsanna ArányiLing WeiV. AcuffTadahiro OtsukaGilmar Fernandes do Prado
- Topics
- Acute Ischemic Stroke Management (74 papers)Cerebrovascular and Carotid Artery Diseases (44 papers)Traumatic Brain Injury and Neurovascular Disturbances (28 papers)
- Cited by
- NeurologyRehabilitation
- Partner nations
- HungaryUnited StatesRomania
In The Last Decade
Dániel Bereczki
201 papers receiving 3.3k citations
Peers
Comparison fields: 5 of 146
- Neurology 1.1k
- Epidemiology 850
- Radiology, Nuclear Medicine and Imaging 584
- Cardiology and Cardiovascular Medicine 571
- Pulmonary and Respiratory Medicine 505
Countries citing papers authored by Dániel Bereczki
This map shows the geographic impact of Dániel Bereczki'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 Bereczki with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dániel Bereczki more than expected).
Fields of papers citing papers by Dániel Bereczki
This network shows the impact of papers produced by Dániel Bereczki. 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 Bereczki. The network helps show where Dániel Bereczki may publish in the future.
Co-authorship network of co-authors of Dániel Bereczki
This figure shows the co-authorship network connecting the top 25 collaborators of Dániel Bereczki. A scholar is included among the top collaborators of Dániel Bereczki 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 Dániel Bereczki. Dániel Bereczki is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 3 | |
| 3 | 1 | |
| 4 | 1 | |
| 5 | 15 | |
| 6 | 12 | |
| 7 | 5 | |
| 8 | 15 | |
| 9 | 24 | |
| 10 | 2 | |
| 11 | 6 | |
| 12 | 39 | |
| 13 | 7 | |
| 14 | [The significance of high-resolution ultrasonography in the diagnosis of peripheral nerve disorders]. | 2 |
| 15 | [Subarachnoid hemorrhage in Hungary: analysis based on the 2009 hospital reports]. | 1 |
| 16 | 62 | |
| 17 | [Pharmacotherapy of stroke]. | 1 |
| 18 | [Application of the Multiple Sclerosis Functional Composite in Debrecen]. | 1 |
| 19 | 7 | |
| 20 | [The role of electronic databases in practical decision making in the care of patients with cerebrovascular diseases]. | 3 |
About Dániel Bereczki
Dániel Bereczki is a scholar working on Neurology, Internal Medicine and Neurology, having authored 210 papers that have together received 3.4k indexed citations. Recurring topics across this work include Acute Ischemic Stroke Management (74 papers), Cerebrovascular and Carotid Artery Diseases (44 papers) and Traumatic Brain Injury and Neurovascular Disturbances (28 papers). The work is most often cited by research in Neurology (1.1k citations), Neurology (339 citations) and Rehabilitation (208 citations). Dániel Bereczki has collaborated with scholars based in Hungary, United States and Romania. Frequent co-authors include István Fekete, László Csiba, Béla Fülesdi, Zsuzsanna Arányi, Ling Wei, V. Acuff, Tadahiro Otsuka, Gilmar Fernandes do Prado, Ming Liu and Tibor Kovács. Their work appears in journals such as PLoS ONE, Brain and Diabetes.
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.