Diana M. Sima
- Radiology, Nuclear Medicine and Imaging top 2%
- Pathology and Forensic Medicine top 5%
- Computer Vision and Pattern Recognition top 5%
- Neurology top 5%
- Molecular Biology
- Co-authors
- Sabine Van HuffelJean‐Baptiste PoulletUwe HimmelreichFrederik MaesDirk SmeetsSaurabh JainWim Van HeckeGene H. Golub
- Topics
- Advanced MRI Techniques and Applications (38 papers)Multiple Sclerosis Research Studies (17 papers)NMR spectroscopy and applications (14 papers)
- Journals
- PLoS ONENeuroImageNeurology
- Partner nations
- BelgiumUnited StatesNetherlands
In The Last Decade
Diana M. Sima
98 papers receiving 1.7k citations
Peers
Comparison fields: 5 of 124
- Radiology, Nuclear Medicine and Imaging 762
- Pathology and Forensic Medicine 308
- Computer Vision and Pattern Recognition 292
- Neurology 235
- Molecular Biology 200
Countries citing papers authored by Diana M. Sima
This map shows the geographic impact of Diana M. Sima'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 Diana M. Sima with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Diana M. Sima more than expected).
Fields of papers citing papers by Diana M. Sima
This network shows the impact of papers produced by Diana M. Sima. 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 Diana M. Sima. The network helps show where Diana M. Sima may publish in the future.
Co-authorship network of co-authors of Diana M. Sima
This figure shows the co-authorship network connecting the top 25 collaborators of Diana M. Sima. A scholar is included among the top collaborators of Diana M. Sima 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 Diana M. Sima. Diana M. Sima is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 0 | |
| 3 | 0 | |
| 4 | 1 | |
| 5 | 4 | |
| 6 | 2 | |
| 7 | 1 | |
| 8 | 18 | |
| 9 | 17 | |
| 10 | 14 | |
| 11 | 46 | |
| 12 | 21 | |
| 13 | 18 | |
| 14 | 48 | |
| 15 | 37 | |
| 16 | 6 | |
| 17 | MSmetrix: accurate untrained method for longitudinal lesion segmentation | 1 |
| 18 | Automatic multiple sclerosis brain lesion localization and volumetry | 13 |
| 19 | 17 | |
| 20 | 15 |
About Diana M. Sima
Diana M. Sima is a scholar working on Computational Mathematics, Radiology, Nuclear Medicine and Imaging and Neurology, having authored 106 papers that have together received 1.7k indexed citations. Recurring topics across this work include Advanced MRI Techniques and Applications (38 papers), Multiple Sclerosis Research Studies (17 papers) and NMR spectroscopy and applications (14 papers). The work is most often cited by research in Computational Mathematics (29 citations), Radiology, Nuclear Medicine and Imaging (762 citations) and Neurology (235 citations). Diana M. Sima has collaborated with scholars based in Belgium, United States and Netherlands. Frequent co-authors include Sabine Van Huffel, Jean‐Baptiste Poullet, Uwe Himmelreich, Frederik Maes, Dirk Smeets, Saurabh Jain, Wim Van Hecke, Gene H. Golub, Sofie Van Cauter and Annemie Ribbens. Their work appears in journals such as PLoS ONE, NeuroImage and Neurology.
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.