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
- Martin Kopáni (1 shared paper)Ľuboš Danišovič (1 shared paper)Peter Celec (1 shared paper)Ladislav Šoltés (3 shared papers)Maurice N. Collins (2 shared papers)Katarína Valachová (3 shared papers)Rastislav Jurčík (3 shared papers)Ľubomír Ondruška (3 shared papers)
- Journals
- Graphs and Combinatorics (3 papers)Molecular Imaging and Biology (1 paper)Polymers (1 paper)Sensors (1 paper)Discrete Applied Mathematics (1 paper)
- Partner nations
- HungaryUnited StatesSlovakia
In The Last Decade
Csaba Bíró
19 papers receiving 338 citations
Peers
Comparison fields: 5 of 120
- Rehabilitation 50
- Biomaterials 97
- Molecular Medicine 27
- Algebra and Number Theory 25
- Discrete Mathematics and Combinatorics 12
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 | 93 | |
| 2 | 2005 | 83 | |
| 3 | 2020 | 59 | |
| 4 | 2023 | 26 | |
| 5 | 2009 | 24 | |
| 6 | 2021 | 14 | |
| 7 | 2018 | 11 | |
| 8 | 2020 | 7 | |
| 9 | 2010 | 7 | |
| 10 | 2015 | 5 | |
| 11 | 2014 | 3 | |
| 12 | 2014 | 2 | |
| 13 | 2015 | 2 | |
| 14 | 2012 | 2 | |
| 15 | 2023 | 1 | |
| 16 | 2020 | 1 | |
| 17 | 2025 | 1 | |
| 18 | 2014 | 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 343 indexed citations. Recurring topics across this work include Advanced Graph Theory Research (3 papers), Limits and Structures in Graph Theory (3 papers), Rings, Modules, and Algebras (2 papers), Wound Healing and Treatments (2 papers), Electrospun Nanofibers in Biomedical Applications (2 papers), Remote Sensing in Agriculture (2 papers), Advanced Topology and Set Theory (2 papers) and Species Distribution and Climate Change (2 papers). The work is most often cited by research in Rehabilitation (50 citations), Biomaterials (97 citations), Molecular Medicine (27 citations), Algebra and Number Theory (25 citations) and Discrete Mathematics and Combinatorics (12 citations). Csaba Bíró has collaborated with scholars based in Hungary, United States and Slovakia. Frequent co-authors include Martin Kopáni, Ľuboš Danišovič, Peter Celec, Ladislav Šoltés, Maurice N. Collins, Katarína Valachová, Rastislav Jurčík, Ľubomír Ondruška, Karol Švík and Ahmad B. Albadarin. Their work appears in journals such as Graphs and Combinatorics, Molecular Imaging and Biology, Polymers, Sensors and Discrete Applied Mathematics.
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.