Csaba Bíró
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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- Advanced Graph Theory Research 3
-
- Limits and Structures in Graph Theory 3
- Co-authors
- Ladislav Šoltés (3 shared papers)Rastislav Jurčík (3 shared papers)Ľubomír Ondruška (3 shared papers)Katarína Valachová (3 shared papers)Karol Švík (3 shared papers)Maurice N. Collins (2 shared papers)Peter Celec (1 shared paper)Ľuboš Danišovič (1 shared paper)
- Journals
- Graphs and Combinatorics (3 papers)Clinica Chimica Acta (1 paper)Materials (1 paper)Discrete Applied Mathematics (1 paper)Polymers (1 paper)
- Partner nations
- HungaryUnited StatesSlovakia
In The Last Decade
Csaba Bíró
19 papers receiving 321 citations
Peers
Comparison fields: 5 of 122
- Rehabilitation 49
- Biomaterials 93
- Algebra and Number Theory 24
- Molecular Medicine 25
- Discrete Mathematics and Combinatorics 10
Countries citing papers authored by Csaba Bíró
This map shows the geographic impact of Csaba Bíró'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 Bíró with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Csaba Bíró more than expected).
Fields of papers citing papers by Csaba Bíró
This network shows the impact of papers produced by Csaba Bíró. 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 Bíró. The network helps show where Csaba Bíró may publish in the future.
Co-authors
The 25 scholars most cited alongside Csaba Bíró, 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 21 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 87 | |
| 2 | 2005 | 76 | |
| 3 | 2020 | 58 | |
| 4 | 2023 | 26 | |
| 5 | 2009 | 23 | |
| 6 | 2021 | 13 | |
| 7 | 2018 | 11 | |
| 8 | 2020 | 7 | |
| 9 | 2010 | 7 | |
| 10 | 2015 | 5 | |
| 11 | 2014 | 3 | |
| 12 | 2012 | 2 | |
| 13 | 2014 | 2 | |
| 14 | 2025 | 1 | |
| 15 | 2020 | 1 | |
| 16 | 2014 | 1 | |
| 17 | 2015 | 1 | |
| 18 | 2023 | 1 | |
| 19 | 2011 | 1 | |
| 20 | 2024 | 0 |
About Csaba Bíró
Csaba Bíró is a scholar working on Computational Theory and Mathematics, Discrete Mathematics and Combinatorics, Ecology, Nature and Landscape Conservation and Rehabilitation, having authored 21 papers that have together received 326 indexed citations. Recurring topics across this work include Limits and Structures in Graph Theory (3 papers), Advanced Graph Theory Research (3 papers), Electrospun Nanofibers in Biomedical Applications (2 papers), Species Distribution and Climate Change (2 papers), Remote Sensing and LiDAR Applications (2 papers), Remote Sensing in Agriculture (2 papers), Wound Healing and Treatments (2 papers) and Advanced Topology and Set Theory (2 papers). The work is most often cited by research in Rehabilitation (49 citations), Biomaterials (93 citations), Algebra and Number Theory (24 citations), Molecular Medicine (25 citations) and Discrete Mathematics and Combinatorics (10 citations). Csaba Bíró has collaborated with scholars based in Hungary, United States and Slovakia. Frequent co-authors include Ladislav Šoltés, Rastislav Jurčík, Ľubomír Ondruška, Katarína Valachová, Karol Švík, Maurice N. Collins, Peter Celec, Ľuboš Danišovič, Martin Kopáni and Mohamed A. Hassan. Their work appears in journals such as Graphs and Combinatorics, Clinica Chimica Acta, Materials, Discrete Applied Mathematics and Polymers.
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.