Vikram Chalana
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- Medical Image Segmentation Techniques 14
- Image and Object Detection Techniques 2
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- Radiomics and Machine Learning in Medical Imaging 2
- Biophysics top 5%
- Radiation top 5%
- Media Technology top 5%
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- Fetal and Pediatric Neurological Disorders 3
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- Prostate Cancer Diagnosis and Treatment 3
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- AI in cancer detection 2
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- Spectroscopy and Chemometric Analyses 2
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- Pancreatic and Hepatic Oncology Research 2
- Co-authors
- Y. KimDavid R. HaynorYongmin KimWilliam E. LorensenWill SchroederStephen AylwardDimitris MetaxasRoss Whitaker
- Journals
- IEEE Transactions on Medical Imaging (3 papers)International Journal of Imaging Systems and Technology (2 papers)Ultrasonic Imaging (1 paper)
- Partner nations
- United StatesNetherlandsIsrael
In The Last Decade
Vikram Chalana
27 papers receiving 1.3k citations
Hit Papers
Peers
Comparison fields: 5 of 127
- Computer Vision and Pattern Recognition 670
- Radiology, Nuclear Medicine and Imaging 581
- Biophysics 78
- Radiation 108
- Media Technology 59
Countries citing papers authored by Vikram Chalana
This map shows the geographic impact of Vikram Chalana'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 Vikram Chalana with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Vikram Chalana more than expected).
Fields of papers citing papers by Vikram Chalana
This network shows the impact of papers produced by Vikram Chalana. 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 Vikram Chalana. The network helps show where Vikram Chalana may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Vikram Chalana, 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 | 2003 | 15 | |
| 2 | 2003 | 4 | |
| 3 | 2002 | 2 | |
| 4 | 2001 | 14 | |
| 5 | 2000 | 2 | |
| 6 | 1999 | 1 | |
| 7 | 1998 | 32 | |
| 8 | 1998 | 16 | |
| 9 | 1998 | 4 | |
| 10 | 1998 | 44 | |
| 11 | 1997 | 41 | |
| 12 | 1997 | 412 | |
| 13 | 1997 | 2 | |
| 14 | 1996 | 50 | |
| 15 | 1996 | 6 | |
| 16 | 1996 | 222 | |
| 17 | Deformable models for segmentation of medical ultrasound images | 1996 | 2 |
| 18 | 1996 | 1 | |
| 19 | 1995 | 6 | |
| 20 | 1994 | 4 |
About Vikram Chalana
Vikram Chalana is a scholar working on Computer Vision and Pattern Recognition, Biophysics, Radiology, Nuclear Medicine and Imaging, Analytical Chemistry and Urology, having authored 27 papers that have together received 1.4k indexed citations. Recurring topics across this work include Medical Image Segmentation Techniques (14 papers), Fetal and Pediatric Neurological Disorders (3 papers), Prostate Cancer Diagnosis and Treatment (3 papers), Radiomics and Machine Learning in Medical Imaging (2 papers), AI in cancer detection (2 papers), Image and Object Detection Techniques (2 papers), Spectroscopy and Chemometric Analyses (2 papers) and Pancreatic and Hepatic Oncology Research (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (670 citations), Radiology, Nuclear Medicine and Imaging (581 citations), Biophysics (78 citations), Radiation (108 citations) and Media Technology (59 citations). Vikram Chalana has collaborated with scholars based in United States, Netherlands and Israel. Frequent co-authors include Y. Kim, David R. Haynor, Yongmin Kim, William E. Lorensen, Will Schroeder, Stephen Aylward, Dimitris Metaxas, Ross Whitaker, Michael Ackerman and Terry S. Yoo. Their work appears in journals such as IEEE Transactions on Medical Imaging, International Journal of Imaging Systems and Technology, Ultrasonic Imaging, Drug Discovery Today and Academic 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.