Jhimli Mitra
- Radiology, Nuclear Medicine and Imaging top 10%
- Cognitive Neuroscience
- Epidemiology
- Biomedical Engineering
- Pulmonary and Respiratory Medicine
- Co-authors
- Soumya GhoseKerstin PannekStephen RoseKaikai ShenAndrea GuzzettaJane L. MathiasPierrick BourgeatGiovanni Cioni
- Topics
- Radiomics and Machine Learning in Medical Imaging (11 papers)Advanced Neuroimaging Techniques and Applications (6 papers)Medical Image Segmentation Techniques (4 papers)
- Partner nations
- United StatesAustraliaUnited Kingdom
In The Last Decade
Jhimli Mitra
29 papers receiving 249 citations
Peers
Comparison fields: 5 of 61
- Radiology, Nuclear Medicine and Imaging 139
- Cognitive Neuroscience 68
- Epidemiology 40
- Biomedical Engineering 26
- Pulmonary and Respiratory Medicine 25
Countries citing papers authored by Jhimli Mitra
This map shows the geographic impact of Jhimli Mitra'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 Jhimli Mitra with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jhimli Mitra more than expected).
Fields of papers citing papers by Jhimli Mitra
This network shows the impact of papers produced by Jhimli Mitra. 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 Jhimli Mitra. The network helps show where Jhimli Mitra may publish in the future.
Co-authorship network of co-authors of Jhimli Mitra
This figure shows the co-authorship network connecting the top 25 collaborators of Jhimli Mitra. A scholar is included among the top collaborators of Jhimli Mitra 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 Jhimli Mitra. Jhimli Mitra 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 | 1 | |
| 3 | 10 | |
| 4 | 1 | |
| 5 | 2 | |
| 6 | 2 | |
| 7 | 3 | |
| 8 | 2 | |
| 9 | 2 | |
| 10 | 7 | |
| 11 | 9 | |
| 12 | 4 | |
| 13 | 0 | |
| 14 | 19 | |
| 15 | 9 | |
| 16 | 6 | |
| 17 | 18 | |
| 18 | 49 | |
| 19 | 13 | |
| 20 | Predicting poststroke depression from structural brain connectivity | 1 |
About Jhimli Mitra
Jhimli Mitra is a scholar working on Radiology, Nuclear Medicine and Imaging, Critical Care and Intensive Care Medicine and Neurology, having authored 31 papers that have together received 251 indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (11 papers), Advanced Neuroimaging Techniques and Applications (6 papers) and Medical Image Segmentation Techniques (4 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (139 citations), Cognitive Neuroscience (68 citations) and Health Informatics (3 citations). Jhimli Mitra has collaborated with scholars based in United States, Australia and United Kingdom. Frequent co-authors include Soumya Ghose, Kerstin Pannek, Stephen Rose, Kaikai Shen, Andrea Guzzetta, Jane L. Mathias, Pierrick Bourgeat, Giovanni Cioni, Jürgen Fripp and Olivier Salvado. Their work appears in journals such as Journal of Clinical Oncology, NeuroImage and Scientific Reports.
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.