Steven L. Hartmann
- Computer Vision and Pattern Recognition top 5%
- Radiology, Nuclear Medicine and Imaging top 10%
- Biomedical Engineering
- Surgery
- Pathology and Forensic Medicine
- Co-authors
- Benoît M. DawantFrederik MaesDirk VandermeulenPhilippe DemaerelJ.-P. ThirionMitchell H. ParksRonald R. PriceDavid Simon
- Topics
- Advanced MRI Techniques and Applications (6 papers)Surgical Simulation and Training (4 papers)Medical Image Segmentation Techniques (4 papers)
- Journals
- Magnetic Resonance in MedicineIEEE Transactions on Medical ImagingAlcoholism Clinical and Experimental Research
- Partner nations
- United StatesBelgium
In The Last Decade
Steven L. Hartmann
12 papers receiving 505 citations
Peers
Comparison fields: 5 of 76
- Computer Vision and Pattern Recognition 221
- Radiology, Nuclear Medicine and Imaging 191
- Biomedical Engineering 113
- Surgery 81
- Pathology and Forensic Medicine 61
Countries citing papers authored by Steven L. Hartmann
This map shows the geographic impact of Steven L. Hartmann'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 Steven L. Hartmann with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Steven L. Hartmann more than expected).
Fields of papers citing papers by Steven L. Hartmann
This network shows the impact of papers produced by Steven L. Hartmann. 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 Steven L. Hartmann. The network helps show where Steven L. Hartmann may publish in the future.
Co-authorship network of co-authors of Steven L. Hartmann
This figure shows the co-authorship network connecting the top 25 collaborators of Steven L. Hartmann. A scholar is included among the top collaborators of Steven L. Hartmann 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 Steven L. Hartmann. Steven L. Hartmann is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 79 | |
| 2 | 1 | |
| 3 | 33 | |
| 4 | 22 | |
| 5 | 109 | |
| 6 | 6 | |
| 7 | 20 | |
| 8 | 26 | |
| 9 | 0 | |
| 10 | 7 | |
| 11 | 170 | |
| 12 | 43 | |
| 13 | 7 |
About Steven L. Hartmann
Steven L. Hartmann is a scholar working on Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging and Biomedical Engineering, having authored 13 papers that have together received 523 indexed citations. Recurring topics across this work include Advanced MRI Techniques and Applications (6 papers), Surgical Simulation and Training (4 papers) and Medical Image Segmentation Techniques (4 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (221 citations), Radiology, Nuclear Medicine and Imaging (191 citations) and Neurology (54 citations). Steven L. Hartmann has collaborated with scholars based in United States and Belgium. Frequent co-authors include Benoît M. Dawant, Frederik Maes, Dirk Vandermeulen, Philippe Demaerel, J.-P. Thirion, Mitchell H. Parks, Ronald R. Price, David Simon, Patrick A. Helm and Peter Martin. Their work appears in journals such as Magnetic Resonance in Medicine, IEEE Transactions on Medical Imaging and Alcoholism Clinical and Experimental Research.
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.