Péter Bándi

31 total papers · 1.8k total citations
15 papers, 762 citations indexed

About

Péter Bándi is a scholar working on Radiology, Nuclear Medicine and Imaging, Artificial Intelligence and Computer Vision and Pattern Recognition. According to data from OpenAlex, Péter Bándi has authored 15 papers receiving a total of 762 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Radiology, Nuclear Medicine and Imaging, 8 papers in Artificial Intelligence and 4 papers in Computer Vision and Pattern Recognition. Recurrent topics in Péter Bándi's work include AI in cancer detection (8 papers), Radiomics and Machine Learning in Medical Imaging (8 papers) and Medical Imaging Techniques and Applications (4 papers). Péter Bándi is often cited by papers focused on AI in cancer detection (8 papers), Radiomics and Machine Learning in Medical Imaging (8 papers) and Medical Imaging Techniques and Applications (4 papers). Péter Bándi collaborates with scholars based in Netherlands, Germany and Hungary. Péter Bándi's co-authors include Jeroen van der Laak, Geert Litjens, Wouter Bulten, Francesco Ciompi, David Tellez, John‐Melle Bokhorst, Rob van de Loo, Bram van Ginneken, Maschenka Balkenhol and Marcory van Dijk and has published in prestigious journals such as Scientific Reports, Journal of the American Society of Nephrology and American Journal Of Pathology.

In The Last Decade

Péter Bándi

14 papers receiving 747 citations

Hit Papers

Quantifying the effects o... 2019 2026 2021 2023 2019 100 200 300

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Péter Bándi 601 414 289 123 114 15 762
Maschenka Balkenhol 675 1.1× 524 1.3× 297 1.0× 139 1.1× 149 1.3× 21 896
Guillaume Jaume 521 0.9× 388 0.9× 194 0.7× 103 0.8× 109 1.0× 14 800
Nikolas Stathonikos 500 0.8× 321 0.8× 162 0.6× 108 0.9× 123 1.1× 32 673
Norman Zerbe 492 0.8× 311 0.8× 194 0.7× 95 0.8× 116 1.0× 32 767
Iringo Kovacs 536 0.9× 384 0.9× 181 0.6× 84 0.7× 105 0.9× 7 759
Navid Farahani 458 0.8× 260 0.6× 163 0.6× 173 1.4× 112 1.0× 17 815
André Homeyer 371 0.6× 292 0.7× 229 0.8× 115 0.9× 90 0.8× 37 828
Eduardo Castro 602 1.0× 457 1.1× 301 1.0× 61 0.5× 76 0.7× 10 727
Huangjing Lin 552 0.9× 463 1.1× 276 1.0× 47 0.4× 100 0.9× 19 788
Ezgi Mercan 445 0.7× 305 0.7× 214 0.7× 97 0.8× 107 0.9× 48 896

Countries citing papers authored by Péter Bándi

Since Specialization
Citations

This map shows the geographic impact of Péter Bándi'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 Péter Bándi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Péter Bándi more than expected).

Fields of papers citing papers by Péter Bándi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Péter Bándi. 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 Péter Bándi. The network helps show where Péter Bándi may publish in the future.

Co-authorship network of co-authors of Péter Bándi

This figure shows the co-authorship network connecting the top 25 collaborators of Péter Bándi. A scholar is included among the top collaborators of Péter Bándi 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 Péter Bándi. Péter Bándi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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