Peter H. de With

16 total papers · 726 total citations
11 papers, 483 citations indexed

About

Peter H. de With is a scholar working on Surgery, Computer Vision and Pattern Recognition and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Peter H. de With has authored 11 papers receiving a total of 483 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Surgery, 5 papers in Computer Vision and Pattern Recognition and 4 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Peter H. de With's work include Esophageal Cancer Research and Treatment (5 papers), Gastric Cancer Management and Outcomes (4 papers) and Colorectal Cancer Screening and Detection (4 papers). Peter H. de With is often cited by papers focused on Esophageal Cancer Research and Treatment (5 papers), Gastric Cancer Management and Outcomes (4 papers) and Colorectal Cancer Screening and Detection (4 papers). Peter H. de With collaborates with scholars based in Netherlands, Belgium and Germany. Peter H. de With's co-authors include Wouter L. Curvers, Fons van der Sommen, Jacques Bergman, Erik J. Schoon, Sveta Zinger, Albert J. de Groof, Maarten R. Struyvenberg, Roos E. Pouw, Raf Bisschops and Joost van der Putten and has published in prestigious journals such as Gastroenterology, Gastrointestinal Endoscopy and EURASIP Journal on Advances in Signal Processing.

In The Last Decade

Peter H. de With

10 papers receiving 452 citations

Hit Papers

Deep-Learning System Dete... 2019 2026 2021 2023 2019 50 100 150 200

Author Peers

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

Author Last Decade Papers Cites
Peter H. de With 332 311 183 121 54 11 483
Robert Mendel 289 0.9× 255 0.8× 164 0.9× 138 1.1× 27 0.5× 24 498
Yoshimasa Horie 302 0.9× 257 0.8× 162 0.9× 155 1.3× 38 0.7× 16 488
Kiki Fockens 303 0.9× 283 0.9× 203 1.1× 128 1.1× 52 1.0× 22 469
Hirotaka Nakashima 336 1.0× 203 0.7× 313 1.7× 164 1.4× 98 1.8× 21 537
Albert J. de Groof 347 1.0× 347 1.1× 180 1.0× 117 1.0× 56 1.0× 19 502
James Requa 204 0.6× 146 0.5× 268 1.5× 136 1.1× 53 1.0× 22 412
Lun Gu 267 0.8× 120 0.4× 369 2.0× 113 0.9× 25 0.5× 13 546
Yu Bai 277 0.8× 109 0.4× 384 2.1× 109 0.9× 32 0.6× 10 504
Shuai Bai 199 0.6× 168 0.5× 163 0.9× 81 0.7× 24 0.4× 16 409
Margaret Vance 378 1.1× 172 0.6× 465 2.5× 67 0.6× 29 0.5× 14 514

Countries citing papers authored by Peter H. de With

Since Specialization
Citations

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

Fields of papers citing papers by Peter H. de With

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Peter H. de With. 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 Peter H. de With. The network helps show where Peter H. de With may publish in the future.

Co-authorship network of co-authors of Peter H. de With

This figure shows the co-authorship network connecting the top 25 collaborators of Peter H. de With. A scholar is included among the top collaborators of Peter H. de With 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 Peter H. de With. Peter H. de With 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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