Viksit Kumar

1.2k citations
49 papers · 785 indexed · h-index 18

Viksit Kumar

46 papers receiving 777 citations

Peers

Viksit Kumar
Comparison fields: 5 of 94
  • Health Informatics 24
  • Radiology, Nuclear Medicine and Imaging 407
  • Hepatology 125
  • Epidemiology 216
  • Biomedical Engineering 273
Replace Manish Dhyani with:
Manish Dhyani United States
Baojun Li United States
Duane D. Meixner United States
Iván M. Rosado-Méndez United States
Adriana Gregory United States
Harshawn Malhi United States
Hisham Tchelepi United States
Toru Higaki Japan
Emmanuel Wilson United States
Afsaneh Amirabadi Canada
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Citations per field
00.5×1.7×
Manish Dhyani · 1×
Citations per year

Countries citing papers authored by Viksit Kumar

Since Specialization
Citations

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

Fields of papers citing papers by Viksit Kumar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Viksit Kumar, 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 Viksit Kumar Line = papers co-authored together Viksit Kumar links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20251
2 20250
3 202321
4 202327
5 20233
6 20234
7 202295
8 20227
9 20201
10
Self-Supervised Pretraining with DICOM metadata in Ultrasound Imaging
20207
11 202029
12 202066
13 202014
14 201920
15 201926
16 201819
17 201862
18 201724
19 201530
20 20152

About Viksit Kumar

Viksit Kumar is a scholar working on Radiology, Nuclear Medicine and Imaging, Critical Care and Intensive Care Medicine and Mechanics of Materials, having authored 49 papers that have together received 785 indexed citations. Recurring topics across this work include Ultrasound Imaging and Elastography (26 papers), Ultrasonics and Acoustic Wave Propagation (13 papers), Photoacoustic and Ultrasonic Imaging (10 papers), Ultrasound and Hyperthermia Applications (8 papers), Radiomics and Machine Learning in Medical Imaging (5 papers), Liver Disease Diagnosis and Treatment (5 papers), Elasticity and Material Modeling (5 papers) and AI in cancer detection (4 papers). The work is most often cited by research in Health Informatics (24 citations), Radiology, Nuclear Medicine and Imaging (407 citations) and Hepatology (125 citations). Viksit Kumar has collaborated with scholars based in United States, Israel and China. Frequent co-authors include Azra Alizad, Mostafa Fatemi, Adriana Gregory, Jeremy Webb, Mahdi Bayat, Max Denis, Kibo Nam, Duane D. Meixner, R. Graham Barr and Giovanna Ferraioli. Their work appears in journals such as The Journal of the Acoustical Society of America, Ultrasound in Medicine & Biology, Scientific Reports, PLoS ONE and Journal of Ultrasound in Medicine.

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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2026