Gregory Patrick Veldhuizen

39 total papers · 1.7k total citations
24 papers, 741 citations indexed

About

Gregory Patrick Veldhuizen is a scholar working on Radiology, Nuclear Medicine and Imaging, Artificial Intelligence and Oncology. According to data from OpenAlex, Gregory Patrick Veldhuizen has authored 24 papers receiving a total of 741 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Radiology, Nuclear Medicine and Imaging, 8 papers in Artificial Intelligence and 7 papers in Oncology. Recurrent topics in Gregory Patrick Veldhuizen's work include Radiomics and Machine Learning in Medical Imaging (8 papers), Hormonal Regulation and Hypertension (7 papers) and Colorectal Cancer Screening and Detection (7 papers). Gregory Patrick Veldhuizen is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (8 papers), Hormonal Regulation and Hypertension (7 papers) and Colorectal Cancer Screening and Detection (7 papers). Gregory Patrick Veldhuizen collaborates with scholars based in Germany, Netherlands and United Kingdom. Gregory Patrick Veldhuizen's co-authors include Jakob Nikolas Kather, Fiona R. Kolbinger, Narmin Ghaffari Laleh, Hannah Sophie Muti, Zunamys I. Carrero, Chiara Maria Lavinia Löffler, Michaela Unger, Sophia J. Wagner, Jan‐Niklas Eckardt and Jan Clusmann and has published in prestigious journals such as Nature Communications, SHILAP Revista de lepidopterología and European Journal of Cancer.

In The Last Decade

Gregory Patrick Veldhuizen

19 papers receiving 721 citations

Hit Papers

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Author Peers

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

Author Last Decade Papers Cites
Gregory Patrick Veldhuizen 336 327 284 66 55 24 741
Jan‐Niklas Eckardt 321 1.0× 349 1.1× 228 0.8× 38 0.6× 87 1.6× 20 760
Christopher A. Lovejoy 238 0.7× 325 1.0× 301 1.1× 67 1.0× 34 0.6× 14 830
Rasheed Omobolaji Alabi 285 0.8× 123 0.4× 345 1.2× 96 1.5× 49 0.9× 29 754
Judy J. Wang 354 1.1× 178 0.5× 266 0.9× 80 1.2× 74 1.3× 13 704
D. Douglas Miller 203 0.6× 312 1.0× 273 1.0× 47 0.7× 40 0.7× 23 823
Beau Norgeot 292 0.9× 211 0.6× 185 0.7× 33 0.5× 52 0.9× 16 744
Markus Plass 393 1.2× 142 0.4× 181 0.6× 66 1.0× 61 1.1× 23 675
Ruchi Singla 245 0.7× 172 0.5× 225 0.8× 38 0.6× 49 0.9× 13 748
Michael Gao 255 0.8× 246 0.8× 119 0.4× 92 1.4× 137 2.5× 39 860
Norman Zerbe 492 1.5× 101 0.3× 311 1.1× 116 1.8× 68 1.2× 32 767

Countries citing papers authored by Gregory Patrick Veldhuizen

Since Specialization
Citations

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

Fields of papers citing papers by Gregory Patrick Veldhuizen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Gregory Patrick Veldhuizen. 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 Gregory Patrick Veldhuizen. The network helps show where Gregory Patrick Veldhuizen may publish in the future.

Co-authorship network of co-authors of Gregory Patrick Veldhuizen

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

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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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