Günter Schmidt

64 total papers · 672 total citations
28 papers, 420 citations indexed

About

Günter Schmidt is a scholar working on Artificial Intelligence, Oncology and Computer Vision and Pattern Recognition. According to data from OpenAlex, Günter Schmidt has authored 28 papers receiving a total of 420 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Artificial Intelligence, 9 papers in Oncology and 7 papers in Computer Vision and Pattern Recognition. Recurrent topics in Günter Schmidt's work include AI in cancer detection (11 papers), Radiomics and Machine Learning in Medical Imaging (7 papers) and Cancer Immunotherapy and Biomarkers (6 papers). Günter Schmidt is often cited by papers focused on AI in cancer detection (11 papers), Radiomics and Machine Learning in Medical Imaging (7 papers) and Cancer Immunotherapy and Biomarkers (6 papers). Günter Schmidt collaborates with scholars based in United Kingdom, Germany and Japan. Günter Schmidt's co-authors include Nicolas Brieu, G. Binnig, David J. Harrison, Peter D. Caie, Katharina Nekolla, Maria Athelogou, Armin Meier, Ines P. Nearchou, Daniel J. Herr and Barry R. Davies and has published in prestigious journals such as Cancer Research, Scientific Reports and American Journal Of Pathology.

In The Last Decade

Günter Schmidt

27 papers receiving 403 citations

Author Peers

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

Author Last Decade Papers Cites
Günter Schmidt 143 132 115 111 60 28 420
Anna Korzyńska 81 0.6× 52 0.4× 115 1.0× 151 1.4× 35 0.6× 36 413
Christian Münzenmayer 108 0.8× 84 0.6× 174 1.5× 157 1.4× 35 0.6× 38 469
Ziqi Zhou 83 0.6× 54 0.4× 101 0.9× 109 1.0× 13 0.2× 44 485
Vipul Baxi 201 1.4× 107 0.8× 43 0.4× 201 1.8× 18 0.3× 16 434
Xiaotao Yin 97 0.7× 84 0.6× 116 1.0× 103 0.9× 10 0.2× 26 396
Saad Ullah Akram 47 0.3× 46 0.3× 163 1.4× 90 0.8× 36 0.6× 13 435
Zhongwei Lv 80 0.6× 50 0.4× 50 0.4× 27 0.2× 50 0.8× 37 393
Quirine F. Manson 192 1.3× 131 1.0× 115 1.0× 259 2.3× 13 0.2× 9 482
Weihao Xie 111 0.8× 78 0.6× 113 1.0× 93 0.8× 23 0.4× 24 394
Deborah Thompson 109 0.8× 58 0.4× 131 1.1× 233 2.1× 15 0.3× 30 466

Countries citing papers authored by Günter Schmidt

Since Specialization
Citations

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

Fields of papers citing papers by Günter Schmidt

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Günter Schmidt

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