Jamshid Dehmeshki
- Radiology, Nuclear Medicine and Imaging top 1%
- Pulmonary and Respiratory Medicine top 5%
- Artificial Intelligence top 5%
- Computer Vision and Pattern Recognition top 5%
- Pathology and Forensic Medicine top 5%
- Co-authors
- Xujiong YeXinyu LinH. AminGareth BeddoeSarah BarmanGreg SlabaughSalah D. QanadliPaul S. Tofts
- Topics
- Medical Image Segmentation Techniques (23 papers)Radiomics and Machine Learning in Medical Imaging (20 papers)Colorectal Cancer Screening and Detection (15 papers)
- Cited by
- Radiology, Nuclear Medicine and ImagingHealth InformaticsPulmonary and Respiratory Medicine
- Journals
- SHILAP Revista de lepidopterologíaGastroenterologyPLoS ONE
- Partner nations
- United KingdomSwitzerlandUnited States
In The Last Decade
Jamshid Dehmeshki
81 papers receiving 1.8k citations
Peers
Comparison fields: 5 of 120
- Radiology, Nuclear Medicine and Imaging 1.1k
- Pulmonary and Respiratory Medicine 600
- Artificial Intelligence 417
- Computer Vision and Pattern Recognition 346
- Pathology and Forensic Medicine 329
Countries citing papers authored by Jamshid Dehmeshki
This map shows the geographic impact of Jamshid Dehmeshki'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 Jamshid Dehmeshki with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jamshid Dehmeshki more than expected).
Fields of papers citing papers by Jamshid Dehmeshki
This network shows the impact of papers produced by Jamshid Dehmeshki. 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 Jamshid Dehmeshki. The network helps show where Jamshid Dehmeshki may publish in the future.
Co-authorship network of co-authors of Jamshid Dehmeshki
This figure shows the co-authorship network connecting the top 25 collaborators of Jamshid Dehmeshki. A scholar is included among the top collaborators of Jamshid Dehmeshki 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 Jamshid Dehmeshki. Jamshid Dehmeshki is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 15 | |
| 2 | 0 | |
| 3 | 13 | |
| 4 | 8 | |
| 5 | 3 | |
| 6 | 12 | |
| 7 | 34 | |
| 8 | A Radiofrequency Treatment Pathway for Cluneal Nerve Disorders | 4 |
| 9 | 11 | |
| 10 | 6 | |
| 11 | 3D Pulmonary Embolism (PE) Segmentation of CTA images Using Level Sets. | 2 |
| 12 | 215 | |
| 13 | 19 | |
| 14 | 103 | |
| 15 | External validation of computer-assisted reading for CT colonography | 1 |
| 16 | 17 | |
| 17 | 27 | |
| 18 | 67 | |
| 19 | 22 | |
| 20 | 24 |
About Jamshid Dehmeshki
Jamshid Dehmeshki is a scholar working on Computational Mathematics, Radiology, Nuclear Medicine and Imaging and Computer Vision and Pattern Recognition, having authored 89 papers that have together received 1.9k indexed citations. Recurring topics across this work include Medical Image Segmentation Techniques (23 papers), Radiomics and Machine Learning in Medical Imaging (20 papers) and Colorectal Cancer Screening and Detection (15 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (1.1k citations), Health Informatics (33 citations) and Pulmonary and Respiratory Medicine (600 citations). Jamshid Dehmeshki has collaborated with scholars based in United Kingdom, Switzerland and United States. Frequent co-authors include Xujiong Ye, Xinyu Lin, H. Amin, Gareth Beddoe, Sarah Barman, Greg Slabaugh, Salah D. Qanadli, Paul S. Tofts, Steve Halligan and Stuart A. Taylor. Their work appears in journals such as SHILAP Revista de lepidopterología, Gastroenterology and PLoS ONE.
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.