Iñigo Bermejo

105 total papers · 730 total citations
52 papers, 410 citations indexed

About

Iñigo Bermejo is a scholar working on Artificial Intelligence, Radiology, Nuclear Medicine and Imaging and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Iñigo Bermejo has authored 52 papers receiving a total of 410 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Artificial Intelligence, 15 papers in Radiology, Nuclear Medicine and Imaging and 9 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Iñigo Bermejo's work include Radiomics and Machine Learning in Medical Imaging (15 papers), Lung Cancer Diagnosis and Treatment (7 papers) and AI in cancer detection (6 papers). Iñigo Bermejo is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (15 papers), Lung Cancer Diagnosis and Treatment (7 papers) and AI in cancer detection (6 papers). Iñigo Bermejo collaborates with scholars based in Netherlands, United Kingdom and Belgium. Iñigo Bermejo's co-authors include André Dekker, Leonard Wee, Junhua Chen, David A. Jaffray, Chong Zhang, Katy Cooper, Jean Hamilton, Ruth Wong, Zhenwei Shi and Francisco Javier Díez and has published in prestigious journals such as Scientific Reports, International Journal of Radiation Oncology*Biology*Physics and Physics in Medicine and Biology.

In The Last Decade

Iñigo Bermejo

46 papers receiving 398 citations

Author Peers

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

Author Last Decade Papers Cites
Iñigo Bermejo 142 106 64 60 52 52 410
Morgan P. McBee 255 1.8× 99 0.9× 87 1.4× 107 1.8× 84 1.6× 16 482
David A. Pastel 208 1.5× 23 0.2× 38 0.6× 76 1.3× 69 1.3× 29 456
Ermanno Cordelli 220 1.5× 149 1.4× 18 0.3× 105 1.8× 43 0.8× 38 395
Wenhui Huang 108 0.8× 43 0.4× 29 0.5× 91 1.5× 12 0.2× 36 444
Francisco Silva 170 1.2× 115 1.1× 26 0.4× 189 3.1× 22 0.4× 32 408
Luyao Shen 121 0.9× 65 0.6× 49 0.8× 112 1.9× 21 0.4× 42 412
Sarim Ather 340 2.4× 62 0.6× 44 0.7× 251 4.2× 65 1.3× 30 456
Rama R. Gullapalli 69 0.5× 71 0.7× 40 0.6× 73 1.2× 20 0.4× 23 449
Adam L. Booth 110 0.8× 46 0.4× 21 0.3× 75 1.3× 24 0.5× 28 413
Faraz Farhadi 319 2.2× 46 0.4× 78 1.2× 75 1.3× 214 4.1× 36 471

Countries citing papers authored by Iñigo Bermejo

Since Specialization
Citations

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

Fields of papers citing papers by Iñigo Bermejo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Iñigo Bermejo

This figure shows the co-authorship network connecting the top 25 collaborators of Iñigo Bermejo. A scholar is included among the top collaborators of Iñigo Bermejo 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 Iñigo Bermejo. Iñigo Bermejo 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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