Benedikt Gomez

32 total papers · 976 total citations
23 papers, 648 citations indexed

About

Benedikt Gomez is a scholar working on Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine and Otorhinolaryngology. According to data from OpenAlex, Benedikt Gomez has authored 23 papers receiving a total of 648 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Radiology, Nuclear Medicine and Imaging, 9 papers in Pulmonary and Respiratory Medicine and 2 papers in Otorhinolaryngology. Recurrent topics in Benedikt Gomez's work include Medical Imaging Techniques and Applications (16 papers), Radiomics and Machine Learning in Medical Imaging (15 papers) and Lung Cancer Diagnosis and Treatment (5 papers). Benedikt Gomez is often cited by papers focused on Medical Imaging Techniques and Applications (16 papers), Radiomics and Machine Learning in Medical Imaging (15 papers) and Lung Cancer Diagnosis and Treatment (5 papers). Benedikt Gomez collaborates with scholars based in Germany, Spain and United States. Benedikt Gomez's co-authors include Philipp Heusch, Christian Buchbender, Verena Ruhlmann, Lale Umutlu, Felix Nensa, Benedikt M. Schaarschmidt, Karsten Beiderwellen, Gerald Antoch, Johannes Grueneisen and Jens Köhler and has published in prestigious journals such as PLoS ONE, Radiology and Journal of Nuclear Medicine.

In The Last Decade

Benedikt Gomez

22 papers receiving 638 citations

Author Peers

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

Author Last Decade Papers Cites
Benedikt Gomez 516 247 77 56 45 23 648
Marlies E. Nowee 417 0.8× 232 0.9× 43 0.6× 57 1.0× 41 0.9× 44 603
Tobias Finazzi 446 0.9× 362 1.5× 129 1.7× 31 0.6× 26 0.6× 24 598
Seok-Ki Kim 332 0.6× 181 0.7× 95 1.2× 108 1.9× 14 0.3× 24 628
Hai‐Bin Shi 587 1.1× 194 0.8× 79 1.0× 66 1.2× 10 0.2× 31 697
Xuequan Huang 430 0.8× 153 0.6× 68 0.9× 99 1.8× 10 0.2× 32 676
Tetsuya Aoki 391 0.8× 546 2.2× 40 0.5× 115 2.1× 25 0.6× 25 765
Sonja Katayama 327 0.6× 564 2.3× 135 1.8× 104 1.9× 15 0.3× 30 756
Stéphane Alard 299 0.6× 391 1.6× 107 1.4× 57 1.0× 19 0.4× 18 593
Michael Chan 148 0.3× 296 1.2× 45 0.6× 91 1.6× 26 0.6× 26 555
Alessandra Farchione 414 0.8× 260 1.1× 138 1.8× 87 1.6× 13 0.3× 24 610

Countries citing papers authored by Benedikt Gomez

Since Specialization
Citations

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

Fields of papers citing papers by Benedikt Gomez

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Benedikt Gomez

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