Vidur Mahajan

1.6k citations
18 papers · 799 indexed · 1 hit paper · h-index 7

Vidur Mahajan

18 papers receiving 781 citations

Hit Papers

Deep learning algorithms for detection of critical findin...6262018202620202023200400600

Peers

Vidur Mahajan
Comparison fields: 5 of 112
  • Health Informatics 151
  • Radiology, Nuclear Medicine and Imaging 334
  • Neurology 194
  • Neurology 91
  • Artificial Intelligence 191
Replace Vasantha Kumar Venugopal with:
Vasantha Kumar Venugopal India
Swetha Tanamala United States
Sasank Chilamkurthy United States
Prashant Warier United States
Shouhei Hanaoka Japan
Javin Schefflein United States
Stuart R. Pomerantz United States
Mohammad Mansouri United States
Quinlan D. Buchlak Australia
Soichiro Miki Japan
Vidur Mahajan relative to Vasantha Kumar Venugopal India Vasantha Kumar Venugopal's profile →
Citations per field
00.5×1.5×
Vasantha Kumar Venugopal · 1×
Citations per year

Countries citing papers authored by Vidur Mahajan

Since Specialization
Citations

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

Fields of papers citing papers by Vidur Mahajan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

18 of 18 papers shown
#Work
1 20233
2 202314
3 20238
4 20226
5 20221
6 202227
7 20226
8 202167
9 20214
10 20213
11 20211
12 20211
13 20214
14 20203
15 201921
16 20192
17
Deep learning algorithms for detection of critical findings in head CT scans: a retrospective studybreakdown →
2018626
18 20182

About Vidur Mahajan

Vidur Mahajan is a scholar working on Health Informatics, Radiology, Nuclear Medicine and Imaging and Rheumatology, having authored 18 papers that have together received 799 indexed citations. Recurring topics across this work include Osteoarthritis Treatment and Mechanisms (4 papers), Artificial Intelligence in Healthcare and Education (4 papers), Total Knee Arthroplasty Outcomes (3 papers), Advanced Neuroimaging Techniques and Applications (3 papers), Diabetic Foot Ulcer Assessment and Management (2 papers), Knee injuries and reconstruction techniques (2 papers), Advanced X-ray and CT Imaging (2 papers) and Lower Extremity Biomechanics and Pathologies (2 papers). The work is most often cited by research in Health Informatics (151 citations), Radiology, Nuclear Medicine and Imaging (334 citations) and Neurology (194 citations). Vidur Mahajan has collaborated with scholars based in India, United States and United Kingdom. Frequent co-authors include Vasantha Kumar Venugopal, Pooja Rao, Swetha Tanamala, Norbert G. Campeau, Prashant Warier, Rohit Ghosh, Sasank Chilamkurthy, Suman Kushwaha, Puneet Talwar and Tapan Kumar Gandhi. Their work appears in journals such as Journal of Orthopaedic Research®, International Journal of Computer Assisted Radiology and Surgery, Journal of Medical Systems, American Journal of Roentgenology and Journal of Magnetic Resonance Imaging.

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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