John L. Ulmer
- Radiology, Nuclear Medicine and Imaging top 1%
- Cognitive Neuroscience top 2%
- Surgery top 5%
- Neurology top 2%
- Pathology and Forensic Medicine top 2%
- Co-authors
- Leighton P. MarkVincent P. MathewsBharat B. BiswalDavid L. DanielsBrian D. SchmitRobert W. ProstA.D. ElsterLotfi Hacein‐Bey
- Topics
- Advanced Neuroimaging Techniques and Applications (32 papers)Advanced MRI Techniques and Applications (25 papers)Functional Brain Connectivity Studies (15 papers)
- Partner nations
- United StatesFrancePhilippines
In The Last Decade
John L. Ulmer
107 papers receiving 3.6k citations
Peers
Comparison fields: 5 of 147
- Radiology, Nuclear Medicine and Imaging 1.4k
- Cognitive Neuroscience 968
- Surgery 779
- Neurology 546
- Pathology and Forensic Medicine 470
Countries citing papers authored by John L. Ulmer
This map shows the geographic impact of John L. Ulmer'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 John L. Ulmer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites John L. Ulmer more than expected).
Fields of papers citing papers by John L. Ulmer
This network shows the impact of papers produced by John L. Ulmer. 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 John L. Ulmer. The network helps show where John L. Ulmer may publish in the future.
Co-authorship network of co-authors of John L. Ulmer
This figure shows the co-authorship network connecting the top 25 collaborators of John L. Ulmer. A scholar is included among the top collaborators of John L. Ulmer 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 John L. Ulmer. John L. Ulmer is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 5 | |
| 2 | 19 | |
| 3 | 19 | |
| 4 | 41 | |
| 5 | 14 | |
| 6 | 9 | |
| 7 | 20 | |
| 8 | 18 | |
| 9 | 104 | |
| 10 | White matter in cognitive neuroscience : advances in diffusion tensor imaging and its applications | 5 |
| 11 | 153 | |
| 12 | 16 | |
| 13 | 165 | |
| 14 | 46 | |
| 15 | 20 | |
| 16 | 52 | |
| 17 | 8 | |
| 18 | 38 | |
| 19 | 44 | |
| 20 | 1 |
About John L. Ulmer
John L. Ulmer is a scholar working on Radiology, Nuclear Medicine and Imaging, Cognitive Neuroscience and Microbiology, having authored 108 papers that have together received 3.8k indexed citations. Recurring topics across this work include Advanced Neuroimaging Techniques and Applications (32 papers), Advanced MRI Techniques and Applications (25 papers) and Functional Brain Connectivity Studies (15 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (1.4k citations), Cognitive Neuroscience (968 citations) and Neurology (546 citations). John L. Ulmer has collaborated with scholars based in United States, France and Philippines. Frequent co-authors include Leighton P. Mark, Vincent P. Mathews, Bharat B. Biswal, David L. Daniels, Brian D. Schmit, Robert W. Prost, A.D. Elster, Lotfi Hacein‐Bey, Wade M. Mueller and Benjamin M. Ellingson. Their work appears in journals such as Journal of Neuroscience, NeuroImage and Radiology.
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.