Dibendu Betal
- Artificial Intelligence top 2%
- AI in cancer detection 3
-
- Radiomics and Machine Learning in Medical Imaging 3
- Media Technology top 5%
- Neurology top 10%
-
- Breast Implant and Reconstruction 8
- Reconstructive Surgery and Microvascular Techniques 6
- Body Contouring and Surgery 3
-
- Liver Disease and Transplantation 3
-
- Breast Cancer Treatment Studies 3
-
- Cancer and Skin Lesions 2
- Co-authors
- I. HuttPM TaylorSusan AstleyJames ParkerJohn SucklingCaroline BoggisEmmanuel A. StamatakisIan W. Ricketts
- Cited by
- Computer Vision and Pattern RecognitionArtificial IntelligenceRadiology, Nuclear Medicine and Imaging
- Journals
- European Journal of Surgical Oncology (8 papers)Clinical Anatomy (2 papers)Nephrology Dialysis Transplantation (2 papers)
- Partner nations
- United KingdomJamaica
In The Last Decade
Dibendu Betal
25 papers receiving 1.1k citations
Hit Papers
Peers
Comparison fields: 5 of 92
- Computer Vision and Pattern Recognition 571
- Artificial Intelligence 764
- Radiology, Nuclear Medicine and Imaging 360
- Media Technology 78
- Neurology 64
Countries citing papers authored by Dibendu Betal
This map shows the geographic impact of Dibendu Betal'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 Dibendu Betal with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dibendu Betal more than expected).
Fields of papers citing papers by Dibendu Betal
This network shows the impact of papers produced by Dibendu Betal. 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 Dibendu Betal. The network helps show where Dibendu Betal may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Dibendu Betal, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2023 | 2 | |
| 2 | 2023 | 0 | |
| 3 | 2022 | 0 | |
| 4 | 2020 | 2 | |
| 5 | 2013 | 24 | |
| 6 | 2011 | 21 | |
| 7 | 2011 | 17 | |
| 8 | 2011 | 49 | |
| 9 | 2011 | 1 | |
| 10 | 2009 | 11 | |
| 11 | 2009 | 5 | |
| 12 | 2009 | 15 | |
| 13 | 2009 | 12 | |
| 14 | 2000 | 6 | |
| 15 | 2000 | 0 | |
| 16 | 1997 | 53 | |
| 17 | 1996 | 75 | |
| 18 | THREE DIMENSIONAL ANALYSIS OF SPINAL DEFORMITIES | 1995 | 42 |
| 19 | The Mammographic Image Analysis Society digital mammogram databasebreakdown → | 1994 | 848 |
| 20 | Extraction of microcalcifications from digital mammograms using mathematical morphology | 1993 | 2 |
About Dibendu Betal
Dibendu Betal is a scholar working on Hepatology, Nephrology and Emergency Medical Services, having authored 29 papers that have together received 1.2k indexed citations. Recurring topics across this work include Breast Implant and Reconstruction (8 papers), Reconstructive Surgery and Microvascular Techniques (6 papers), Radiomics and Machine Learning in Medical Imaging (3 papers), Body Contouring and Surgery (3 papers), AI in cancer detection (3 papers), Liver Disease and Transplantation (3 papers), Breast Cancer Treatment Studies (3 papers) and Cancer and Skin Lesions (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (571 citations), Artificial Intelligence (764 citations) and Radiology, Nuclear Medicine and Imaging (360 citations). Dibendu Betal has collaborated with scholars based in United Kingdom and Jamaica. Frequent co-authors include I. Hutt, PM Taylor, Susan Astley, James Parker, John Suckling, Caroline Boggis, Emmanuel A. Stamatakis, Ian W. Ricketts, Neil Roberts and G. H. Whitehouse. Their work appears in journals such as European Journal of Surgical Oncology, Clinical Anatomy, Nephrology Dialysis Transplantation, Magnetic Resonance Materials in Physics Biology and Medicine and Clinical Breast Cancer.
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.