Csaba Bíró

467 citations
21 papers · 330 · h-index 8

Impact in

    • Wound Healing and Treatments
  • Biomaterials top 10%
    • Electrospun Nanofibers in Biomedical Applications
    • Nanocomposite Films for Food Packaging
    • Silk-based biomaterials and applications

Papers in

Csaba Bíró

19 papers receiving 326 citations

Peers

Csaba Bíró
Comparison fields: 5 of 118
  • Rehabilitation 49
  • Biomaterials 93
  • Algebra and Number Theory 24
  • Molecular Medicine 25
  • Discrete Mathematics and Combinatorics 10
Replace Iffat Jahan with:
Iffat Jahan Bangladesh
Romi Singh Maharjan Germany
Shubham Singh India
Xiaoting Peng China
Yoshiyuki Kobayashi Japan
Weihong Zhou China
Jiayu Zhao China
David Encinas-Basurto Mexico
Jiahui Song China
Yanyan Zhao China
Csaba Bíró relative to Iffat Jahan Bangladesh Iffat Jahan's profile →
Citations per field
00.5×4.3×
Iffat Jahan · 1×
Citations per year

Countries citing papers authored by Csaba Bíró

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Csaba Bíró Line = papers co-authored together Csaba Bíró links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201889
2 200577
3 202058
4 202326
5 200923
6 202114
7 201811
8 20207
9 20107
10 20155
11 20143
12 20142
13 20122
14 20231
15 20201
16 20251
17 20151
18 20141
19 20111
20 20240

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 330 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 (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 Katarína Valachová, Maurice N. Collins, Rastislav Jurčí­k, Ľubomí­r Ondruška, Karol Švík, Ladislav Šoltés, Peter Celec, Martin Kopáni, Ľuboš Danišovič and Ahmed M. Omer. Their work appears in journals such as Graphs and Combinatorics, Molecular Imaging and Biology, Discrete Mathematics, Rangeland Ecology & Management 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.

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