Peter de With
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- Advanced Vision and Imaging 6
- Video Analysis and Summarization 3
- Advanced Image Processing Techniques 3
- Advanced Image and Video Retrieval Techniques 3
- Health Informatics top 10%
- Software top 10%
- Signal Processing top 10%
- Video Coding and Compression Technologies 5
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- Real-Time Systems Scheduling 3
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- Advanced Software Engineering Methodologies 3
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- Radiomics and Machine Learning in Medical Imaging 2
- Co-authors
- Jungong HanFons van der SommenJacques BergmanErik J. SchoonDirk FarinWouter L. CurversSvitlana ZingerRaf Bisschops
- Partner nations
- NetherlandsAustraliaSingapore
In The Last Decade
Peter de With
21 papers receiving 476 citations
Peers
Comparison fields: 5 of 69
- Computer Vision and Pattern Recognition 230
- Health Informatics 13
- Software 21
- Signal Processing 59
- Gastroenterology 26
Countries citing papers authored by Peter de With
This map shows the geographic impact of Peter 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 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 de With more than expected).
Fields of papers citing papers by Peter de With
This network shows the impact of papers produced by Peter 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 de With. The network helps show where Peter de With may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Peter de With, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2023 | 2 | |
| 2 | 2023 | 2 | |
| 3 | 2023 | 2 | |
| 4 | 2022 | 0 | |
| 5 | 2020 | 80 | |
| 6 | 2019 | 0 | |
| 7 | 2018 | 0 | |
| 8 | 2016 | 130 | |
| 9 | 2013 | 1 | |
| 10 | 2012 | 7 | |
| 11 | 2011 | 3 | |
| 12 | 2011 | 2 | |
| 13 | 2011 | 6 | |
| 14 | 2009 | 96 | |
| 15 | 2008 | 40 | |
| 16 | 2008 | 0 | |
| 17 | 2008 | 36 | |
| 18 | 2006 | 1 | |
| 19 | 2005 | 30 | |
| 20 | 2004 | 13 |
About Peter de With
Peter de With is a scholar working on Computer Vision and Pattern Recognition, Hardware and Architecture and Signal Processing, having authored 25 papers that have together received 510 indexed citations. Recurring topics across this work include Advanced Vision and Imaging (6 papers), Video Coding and Compression Technologies (5 papers), Real-Time Systems Scheduling (3 papers), Video Analysis and Summarization (3 papers), Advanced Software Engineering Methodologies (3 papers), Advanced Image Processing Techniques (3 papers), Advanced Image and Video Retrieval Techniques (3 papers) and Radiomics and Machine Learning in Medical Imaging (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (230 citations), Health Informatics (13 citations) and Software (21 citations). Peter de With has collaborated with scholars based in Netherlands, Australia and Singapore. Frequent co-authors include Jungong Han, Fons van der Sommen, Jacques Bergman, Erik J. Schoon, Dirk Farin, Wouter L. Curvers, Svitlana Zinger, Raf Bisschops, Oliver Pech and Bas L. Weusten. Their work appears in journals such as IEEE Transactions on Consumer Electronics, Endoscopy, Gut, IEEE Transactions on Circuits and Systems for Video Technology and IEEE Multimedia.
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.