Dzung L. Pham
- Computer Vision and Pattern Recognition top 0.2%
- Radiology, Nuclear Medicine and Imaging top 0.2%
- Pathology and Forensic Medicine top 0.5%
- Neurology top 0.5%
- Cognitive Neuroscience top 2%
- Co-authors
- Jerry L. PrinceChenyang XuSusan M. ResnickPierre‐Louis BazinChristos DavatzikosMichael A. KrautAlan B. ZondermanPeter A. Calabresi
- Topics
- Medical Image Segmentation Techniques (67 papers)Advanced Neuroimaging Techniques and Applications (44 papers)Advanced MRI Techniques and Applications (36 papers)
- Journals
- Journal of NeuroscienceSHILAP Revista de lepidopterologíaJournal of the American Statistical Association
- Partner nations
- United StatesGermanyCanada
In The Last Decade
Dzung L. Pham
188 papers receiving 9.5k citations
Hit Papers
Peers
Comparison fields: 5 of 185
- Computer Vision and Pattern Recognition 3.5k
- Radiology, Nuclear Medicine and Imaging 3.2k
- Pathology and Forensic Medicine 1.4k
- Neurology 1.2k
- Cognitive Neuroscience 1.2k
Countries citing papers authored by Dzung L. Pham
This map shows the geographic impact of Dzung L. Pham'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 Dzung L. Pham with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dzung L. Pham more than expected).
Fields of papers citing papers by Dzung L. Pham
This network shows the impact of papers produced by Dzung L. Pham. 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 Dzung L. Pham. The network helps show where Dzung L. Pham may publish in the future.
Co-authorship network of co-authors of Dzung L. Pham
This figure shows the co-authorship network connecting the top 25 collaborators of Dzung L. Pham. A scholar is included among the top collaborators of Dzung L. Pham 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 Dzung L. Pham. Dzung L. Pham is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 9 | |
| 2 | 9 | |
| 3 | 6 | |
| 4 | 7 | |
| 5 | 19 | |
| 6 | 2 | |
| 7 | 4 | |
| 8 | 33 | |
| 9 | 12 | |
| 10 | 48 | |
| 11 | 161 | |
| 12 | 156 | |
| 13 | 30 | |
| 14 | 3 | |
| 15 | 36 | |
| 16 | 4 | |
| 17 | 140 | |
| 18 | 35 | |
| 19 | 29 | |
| 20 | Partial Volume Estimation and the Fuzzy C-means Algorithm | 10 |
About Dzung L. Pham
Dzung L. Pham is a scholar working on Computational Mathematics, Computer Vision and Pattern Recognition and Radiology, Nuclear Medicine and Imaging, having authored 194 papers that have together received 9.8k indexed citations. Recurring topics across this work include Medical Image Segmentation Techniques (67 papers), Advanced Neuroimaging Techniques and Applications (44 papers) and Advanced MRI Techniques and Applications (36 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (3.5k citations), Neurology (1.2k citations) and Radiology, Nuclear Medicine and Imaging (3.2k citations). Dzung L. Pham has collaborated with scholars based in United States, Germany and Canada. Frequent co-authors include Jerry L. Prince, Chenyang Xu, Susan M. Resnick, Pierre‐Louis Bazin, Christos Davatzikos, Michael A. Kraut, Alan B. Zonderman, Peter A. Calabresi, Daniel S. Reich and Snehashis Roy. Their work appears in journals such as Journal of Neuroscience, SHILAP Revista de lepidopterología and Journal of the American Statistical Association.
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.