Gábor Szabó
- Statistical and Nonlinear Physics top 0.2%
- Molecular Biology
- Sociology and Political Science top 2%
- Computer Networks and Communications top 2%
- Artificial Intelligence top 5%
- Co-authors
- Bernardo A. HubermanJános KertészAlbert-Ĺaszló BarabásiKimmo KaskiJukka‐Pekka OnnelaDavid LazerJari SaramäkiMikko J. Alava
- Topics
- Advanced Operator Algebra Research (18 papers)Advanced Topics in Algebra (15 papers)Complex Network Analysis Techniques (14 papers)
- Partner nations
- United StatesBelgiumUnited Kingdom
In The Last Decade
Gábor Szabó
31 papers receiving 3.1k citations
Hit Papers
Peers
Comparison fields: 5 of 159
- Statistical and Nonlinear Physics 1.7k
- Molecular Biology 647
- Sociology and Political Science 599
- Computer Networks and Communications 500
- Artificial Intelligence 405
Countries citing papers authored by Gábor Szabó
This map shows the geographic impact of Gábor Szabó'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 Gábor Szabó with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gábor Szabó more than expected).
Fields of papers citing papers by Gábor Szabó
This network shows the impact of papers produced by Gábor Szabó. 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 Gábor Szabó. The network helps show where Gábor Szabó may publish in the future.
Co-authorship network of co-authors of Gábor Szabó
This figure shows the co-authorship network connecting the top 25 collaborators of Gábor Szabó. A scholar is included among the top collaborators of Gábor Szabó 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 Gábor Szabó. Gábor Szabó is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 0 | |
| 4 | 8 | |
| 5 | 0 | |
| 6 | 3 | |
| 7 | 10 | |
| 8 | 9 | |
| 9 | 4 | |
| 10 | 18 | |
| 11 | 12 | |
| 12 | 1 | |
| 13 | The Rokhlin property vs. Rokhlin dimension 1 on O_2 | 1 |
| 14 | Multiple Relationship Types in Online Communities and Social Networks. | 34 |
| 15 | 66 | |
| 16 | Structure and tie strengths in mobile communication networksbreakdown → | 1237 |
| 17 | A Protein–Protein Interaction Network for Human Inherited Ataxias and Disorders of Purkinje Cell Degenerationbreakdown → | 590 |
| 18 | 73 | |
| 19 | 49 | |
| 20 | 52 |
About Gábor Szabó
Gábor Szabó is a scholar working on Algebra and Number Theory, Mathematical Physics and Statistical and Nonlinear Physics, having authored 35 papers that have together received 3.2k indexed citations. Recurring topics across this work include Advanced Operator Algebra Research (18 papers), Advanced Topics in Algebra (15 papers) and Complex Network Analysis Techniques (14 papers). The work is most often cited by research in Statistical and Nonlinear Physics (1.7k citations), Transportation (320 citations) and Communication (293 citations). Gábor Szabó has collaborated with scholars based in United States, Belgium and United Kingdom. Frequent co-authors include Bernardo A. Huberman, János Kertész, Albert-Ĺaszló Barabási, Kimmo Kaski, Jukka‐Pekka Onnela, David Lazer, Jari Saramäki, Mikko J. Alava, Sitaram Asur and Chunyan Wang. Their work appears in journals such as Cell, Proceedings of the National Academy of Sciences and Communications of the ACM.
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.