Csaba Bir
Impact in
- Rehabilitation top 10%
- Wound Healing and Treatments
- Biomaterials top 10%
- Electrospun Nanofibers in Biomedical Applications
- Nanocomposite Films for Food Packaging
- Silk-based biomaterials and applications
Papers in
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- Limits and Structures in Graph Theory 4
-
- Advanced Graph Theory Research 4
- Co-authors
- Ľubomír Ondruška (3 shared papers)Katarína Valachová (3 shared papers)Karol Švík (3 shared papers)Peter Celec (1 shared paper)Rastislav Jurčík (3 shared papers)Martin Kopáni (1 shared paper)Ladislav Šoltés (3 shared papers)Ľuboš Danišovič (1 shared paper)
- Journals
- Graphs and Combinatorics (3 papers)Materials (1 paper)Discrete Mathematics (1 paper)Drones (1 paper)Clinica Chimica Acta (1 paper)
- Partner nations
- HungaryUnited StatesSlovakia
In The Last Decade
Csaba Bir
20 papers receiving 360 citations
Peers
Comparison fields: 5 of 120
- Rehabilitation 50
- Biomaterials 96
- Algebra and Number Theory 28
- Molecular Medicine 27
- Discrete Mathematics and Combinatorics 17
Countries citing papers authored by Csaba Bir
This map shows the geographic impact of Csaba Bir'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 Csaba Bir with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Csaba Bir more than expected).
Fields of papers citing papers by Csaba Bir
This network shows the impact of papers produced by Csaba Bir. 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 Csaba Bir. The network helps show where Csaba Bir may publish in the future.
Co-authors
The 25 scholars most cited alongside Csaba Bir, 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 23 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 92 | |
| 2 | 2005 | 85 | |
| 3 | 2020 | 61 | |
| 4 | 2023 | 28 | |
| 5 | 2009 | 25 | |
| 6 | 2021 | 14 | |
| 7 | 2017 | 12 | |
| 8 | 2018 | 11 | |
| 9 | 2020 | 7 | |
| 10 | 2010 | 7 | |
| 11 | 2015 | 6 | |
| 12 | 2014 | 4 | |
| 13 | 2015 | 4 | |
| 14 | 2012 | 2 | |
| 15 | 2014 | 2 | |
| 16 | 2014 | 2 | |
| 17 | 2025 | 1 | |
| 18 | 2023 | 1 | |
| 19 | 2020 | 1 | |
| 20 | 2011 | 1 |
About Csaba Bir
Csaba Bir is a scholar working on Discrete Mathematics and Combinatorics, Computational Theory and Mathematics, Algebra and Number Theory, Geometry and Topology and Ecological Modeling, having authored 23 papers that have together received 366 indexed citations. Recurring topics across this work include Advanced Graph Theory Research (4 papers), Limits and Structures in Graph Theory (4 papers), Advanced Topology and Set Theory (3 papers), Rings, Modules, and Algebras (2 papers), Electrospun Nanofibers in Biomedical Applications (2 papers), Species Distribution and Climate Change (2 papers), Ecology and Vegetation Dynamics Studies (2 papers) and Remote Sensing and LiDAR Applications (2 papers). The work is most often cited by research in Rehabilitation (50 citations), Biomaterials (96 citations), Algebra and Number Theory (28 citations), Molecular Medicine (27 citations) and Discrete Mathematics and Combinatorics (17 citations). Csaba Bir has collaborated with scholars based in Hungary, United States and Slovakia. Frequent co-authors include Ľubomír Ondruška, Katarína Valachová, Karol Švík, Peter Celec, Rastislav Jurčík, Martin Kopáni, Ladislav Šoltés, Ľuboš Danišovič, Maurice N. Collins and Tamer M. Tamer. Their work appears in journals such as Graphs and Combinatorics, Materials, Discrete Mathematics, Drones and Clinica Chimica Acta.
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.