Fülöp Bazsó
- Statistical and Nonlinear Physics top 2%
- Artificial Intelligence top 10%
- Molecular Biology
- Cognitive Neuroscience
- Computer Networks and Communications
- Co-authors
- Tamás NepuszAndrea PetrócziLászló NégyessyLászló KocsisLászló ZalányiIstván KecskésPéter OdryAndré Altmann
- Topics
- Neural dynamics and brain function (10 papers)Complex Network Analysis Techniques (5 papers)Neural Networks and Applications (4 papers)
- Journals
- Proceedings of the Royal Society B Biological SciencesEuropean Journal of NeurosciencePhysics Letters A
- Partner nations
- HungarySerbiaUnited Kingdom
In The Last Decade
Fülöp Bazsó
24 papers receiving 506 citations
Peers
Comparison fields: 5 of 99
- Statistical and Nonlinear Physics 300
- Artificial Intelligence 137
- Molecular Biology 83
- Cognitive Neuroscience 74
- Computer Networks and Communications 56
Countries citing papers authored by Fülöp Bazsó
This map shows the geographic impact of Fülöp Bazsó'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 Fülöp Bazsó with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fülöp Bazsó more than expected).
Fields of papers citing papers by Fülöp Bazsó
This network shows the impact of papers produced by Fülöp Bazsó. 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 Fülöp Bazsó. The network helps show where Fülöp Bazsó may publish in the future.
Co-authorship network of co-authors of Fülöp Bazsó
This figure shows the co-authorship network connecting the top 25 collaborators of Fülöp Bazsó. A scholar is included among the top collaborators of Fülöp Bazsó 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 Fülöp Bazsó. Fülöp Bazsó is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 11 | |
| 2 | 1 | |
| 3 | 22 | |
| 4 | 3 | |
| 5 | 1 | |
| 6 | 8 | |
| 7 | 1 | |
| 8 | 257 | |
| 9 | 10 | |
| 10 | 2 | |
| 11 | 1 | |
| 12 | 48 | |
| 13 | 2 | |
| 14 | Measuring tie-strength in virtual social networks | 90 |
| 15 | 8 | |
| 16 | 9 | |
| 17 | 4 | |
| 18 | 5 | |
| 19 | 3 | |
| 20 | 6 |
About Fülöp Bazsó
Fülöp Bazsó is a scholar working on Statistical and Nonlinear Physics, Cognitive Neuroscience and Developmental Biology, having authored 24 papers that have together received 536 indexed citations. Recurring topics across this work include Neural dynamics and brain function (10 papers), Complex Network Analysis Techniques (5 papers) and Neural Networks and Applications (4 papers). The work is most often cited by research in Statistical and Nonlinear Physics (300 citations), Virology (28 citations) and Communication (34 citations). Fülöp Bazsó has collaborated with scholars based in Hungary, Serbia and United Kingdom. Frequent co-authors include Tamás Nepusz, Andrea Petróczi, László Négyessy, László Kocsis, László Zalányi, István Kecskés, Péter Odry, André Altmann, Giovanni Ulivi and Hannu Reittu. Their work appears in journals such as Proceedings of the Royal Society B Biological Sciences, European Journal of Neuroscience and Physics Letters A.
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.