M. Egmont‐Petersen
- Molecular Biology
- Computer Vision and Pattern Recognition top 2%
- Artificial Intelligence top 5%
- Genetics top 10%
- Electrical and Electronic Engineering
- Co-authors
- Dick de RidderHeinz HandelsLude FrankeEdwin de JongLike FokkensCisca WijmengaHarm van BakelBart Baesens
- Topics
- Medical Imaging Techniques and Applications (5 papers)Neural Networks and Applications (5 papers)Medical Image Segmentation Techniques (4 papers)
- Journals
- European Journal of Operational ResearchIEEE Transactions on Image ProcessingThe American Journal of Human Genetics
- Partner nations
- NetherlandsGermanyDenmark
In The Last Decade
M. Egmont‐Petersen
29 papers receiving 1.7k citations
Hit Papers
Peers
Comparison fields: 5 of 177
- Molecular Biology 482
- Computer Vision and Pattern Recognition 400
- Artificial Intelligence 348
- Genetics 209
- Electrical and Electronic Engineering 137
Countries citing papers authored by M. Egmont‐Petersen
This map shows the geographic impact of M. Egmont‐Petersen'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 M. Egmont‐Petersen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites M. Egmont‐Petersen more than expected).
Fields of papers citing papers by M. Egmont‐Petersen
This network shows the impact of papers produced by M. Egmont‐Petersen. 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 M. Egmont‐Petersen. The network helps show where M. Egmont‐Petersen may publish in the future.
Co-authorship network of co-authors of M. Egmont‐Petersen
This figure shows the co-authorship network connecting the top 25 collaborators of M. Egmont‐Petersen. A scholar is included among the top collaborators of M. Egmont‐Petersen 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 M. Egmont‐Petersen. M. Egmont‐Petersen is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 66 | |
| 2 | 80 | |
| 3 | 47 | |
| 4 | 371 | |
| 5 | 107 | |
| 6 | Image processing with neural networks—a reviewbreakdown → | 773 |
| 7 | 68 | |
| 8 | 58 | |
| 9 | 1 | |
| 10 | 8 | |
| 11 | 17 | |
| 12 | 18 | |
| 13 | 7 | |
| 14 | 22 | |
| 15 | 19 | |
| 16 | 40 | |
| 17 | 11 | |
| 18 | 1 | |
| 19 | 27 | |
| 20 | Mental Models as Cognitive Entities. | 2 |
About M. Egmont‐Petersen
M. Egmont‐Petersen is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Radiology, Nuclear Medicine and Imaging, having authored 29 papers that have together received 1.8k indexed citations. Recurring topics across this work include Medical Imaging Techniques and Applications (5 papers), Neural Networks and Applications (5 papers) and Medical Image Segmentation Techniques (4 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (400 citations), Media Technology (120 citations) and Artificial Intelligence (348 citations). M. Egmont‐Petersen has collaborated with scholars based in Netherlands, Germany and Denmark. Frequent co-authors include Dick de Ridder, Heinz Handels, Lude Franke, Edwin de Jong, Like Fokkens, Cisca Wijmenga, Harm van Bakel, Bart Baesens, Jan Vanthienen and Hans C. van Assen. Their work appears in journals such as European Journal of Operational Research, IEEE Transactions on Image Processing and The American Journal of Human Genetics.
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.