Vivek Walimbe

505 citations
18 papers · 320 · h-index 10

Impact in

Papers in

Vivek Walimbe

17 papers receiving 309 citations

Peers

Vivek Walimbe
Comparison fields: 5 of 46
  • Radiology, Nuclear Medicine and Imaging 190
  • Computer Vision and Pattern Recognition 132
  • Radiation 40
  • Cardiology and Cardiovascular Medicine 101
  • Biomedical Engineering 74
Replace Vladimir Zagrodsky with:
Vladimir Zagrodsky United States
Hortense A. Kirişli Netherlands
Fei Mao United States
Igor Gyacskov Canada
G.P.M. Prause Germany
C. Blake Canada
Marcus Pfister Germany
Tian-ge Zhuang China
Chenyang Xu United States
R. Chandrashekara United Kingdom
Vivek Walimbe relative to Vladimir Zagrodsky United States Vladimir Zagrodsky's profile →
Citations per field
00.5×
Vladimir Zagrodsky · 1×
Citations per year

Countries citing papers authored by Vivek Walimbe

Since Specialization
Citations

This map shows the geographic impact of Vivek Walimbe'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 Vivek Walimbe with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Vivek Walimbe more than expected).

Fields of papers citing papers by Vivek Walimbe

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Vivek Walimbe. 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 Vivek Walimbe. The network helps show where Vivek Walimbe may publish in the future.

Co-authors

The 25 scholars most cited alongside Vivek Walimbe, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Vivek Walimbe Line = papers co-authored together Vivek Walimbe links everyone, so they are left out of the graph.

All Works

18 of 18 papers shown
#Work
1
Automated 3-dimensional elastic registration of whole-body PET and CT from separate or combined scanners.
200563
2 200562
3 200635
4 200832
5 200326
6 200323
7 200723
8 200612
9 200612
10 200610
11 20067
12 20095
13 20045
14 20042
15 20061
16 20051
17 20071
18 20100

About Vivek Walimbe

Vivek Walimbe is a scholar working on Radiology, Nuclear Medicine and Imaging, Computer Vision and Pattern Recognition, Biomedical Engineering, Cardiology and Cardiovascular Medicine and Radiation, having authored 18 papers that have together received 320 indexed citations. Recurring topics across this work include Medical Imaging Techniques and Applications (8 papers), Medical Image Segmentation Techniques (8 papers), Advanced Radiotherapy Techniques (4 papers), Advanced MRI Techniques and Applications (4 papers), Cardiac Imaging and Diagnostics (4 papers), Advanced X-ray and CT Imaging (3 papers), Radiomics and Machine Learning in Medical Imaging (3 papers) and Cardiac Valve Diseases and Treatments (3 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (190 citations), Computer Vision and Pattern Recognition (132 citations), Radiation (40 citations), Cardiology and Cardiovascular Medicine (101 citations) and Biomedical Engineering (74 citations). Vivek Walimbe has collaborated with scholars based in United States, Italy and Egypt. Frequent co-authors include Raj Shekhar, Vladimir Zagrodsky, Shanker Raja, Jong‐Min Song, Bohdan Bybel, Jian Qin, Guiyun Wu, James D. Thomas, Mario J. García and Wael A. Jaber. Their work appears in journals such as IEEE Transactions on Medical Imaging, Journal of the American Society of Echocardiography, Journal of Nuclear Medicine, Radiographics and Medical Physics.

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.

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