E. S. Gelsema
Impact in
- Biophysics top 5%
- Cell Image Analysis Techniques
- Structural Biology top 10%
Papers in
-
- Digital Imaging for Blood Diseases 16
- Image Retrieval and Classification Techniques 4
-
- Electron and X-Ray Spectroscopy Techniques 9
- Co-authors
- Jifke F. Veenland (4 shared papers)Laveen N. Kanal (4 shared papers)Daniel Q. Naiman (1 shared paper)Kourosh Kiani (2 shared papers)Chris J. Snijders (2 shared papers)Arnaud Beckers (8 shared papers)Jan L. Grashuis (5 shared papers)Wim C. de Bruijn (9 shared papers)
- Journals
- Journal of Microscopy (7 papers)Pattern Recognition (7 papers)Methods of Information in Medicine (6 papers)Cytometry (4 papers)Pattern Recognition Letters (4 papers)
- Partner nations
- NetherlandsUnited StatesSwitzerland
In The Last Decade
E. S. Gelsema
68 papers receiving 928 citations
Peers
Comparison fields: 5 of 157
- Biophysics 75
- Structural Biology 17
- Computer Vision and Pattern Recognition 251
- Orthopedics and Sports Medicine 64
- Artificial Intelligence 240
Countries citing papers authored by E. S. Gelsema
This map shows the geographic impact of E. S. Gelsema'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 E. S. Gelsema with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites E. S. Gelsema more than expected).
Fields of papers citing papers by E. S. Gelsema
This network shows the impact of papers produced by E. S. Gelsema. 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 E. S. Gelsema. The network helps show where E. S. Gelsema may publish in the future.
Co-authors
The 25 scholars most cited alongside E. S. Gelsema, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 72 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1999 | 105 | |
| 2 | 1988 | 101 | |
| 3 | 1996 | 66 | |
| 4 | 1997 | 63 | |
| 5 | 1997 | 61 | |
| 6 | 1974 | 45 | |
| 7 | 1998 | 35 | |
| 8 | 2003 | 31 | |
| 9 | 1998 | 30 | |
| 10 | 1995 | 30 | |
| 11 | 1983 | 29 | |
| 12 | 1978 | 28 | |
| 13 | 1992 | 26 | |
| 14 | 1964 | 24 | |
| 15 | 1980 | 21 | |
| 16 | 1964 | 20 | |
| 17 | 2000 | 15 | |
| 18 | 1994 | 15 | |
| 19 | 1958 | 14 | |
| 20 | 1996 | 13 |
About E. S. Gelsema
E. S. Gelsema is a scholar working on Computer Vision and Pattern Recognition, Surfaces, Coatings and Films, Biophysics, Artificial Intelligence and Radiation, having authored 72 papers that have together received 1.0k indexed citations. Recurring topics across this work include Digital Imaging for Blood Diseases (16 papers), AI in cancer detection (11 papers), Electron and X-Ray Spectroscopy Techniques (9 papers), Cell Image Analysis Techniques (8 papers), X-ray Spectroscopy and Fluorescence Analysis (5 papers), Image Retrieval and Classification Techniques (4 papers), Nuclear Physics and Applications (4 papers) and Hemodynamic Monitoring and Therapy (3 papers). The work is most often cited by research in Biophysics (75 citations), Structural Biology (17 citations), Computer Vision and Pattern Recognition (251 citations), Orthopedics and Sports Medicine (64 citations) and Artificial Intelligence (240 citations). E. S. Gelsema has collaborated with scholars based in Netherlands, United States and Switzerland. Frequent co-authors include Jifke F. Veenland, Laveen N. Kanal, Daniel Q. Naiman, Kourosh Kiani, Chris J. Snijders, Arnaud Beckers, Jan L. Grashuis, Wim C. de Bruijn, Guinevere F. Eden and M. R. Halie. Their work appears in journals such as Journal of Microscopy, Pattern Recognition, Methods of Information in Medicine, Cytometry and Pattern Recognition Letters.
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.