Tarun Gangil

453 citations
7 papers · 280 indexed · 1 hit paper · h-index 4
Topics
Radiomics and Machine Learning in Medical Imaging (3 papers)Head and Neck Cancer Studies (2 papers)Artificial Intelligence in Healthcare (1 paper)

In The Last Decade

Tarun Gangil

5 papers receiving 249 citations

Hit Papers

Analysis of diabetes mellitus for early prediction using ...2019202620212023201950100150200

Peers

Tarun Gangil
Comparison fields: 5 of 48
  • Health Information Management 206
  • Artificial Intelligence 168
  • Radiology, Nuclear Medicine and Imaging 74
  • Information Systems 30
  • Complementary and alternative medicine 23
Replace Dola Das with:
Dola Das Bangladesh
Shahid Mohammad Ganie India
Sajida Perveen Pakistan
Leon Kopitar Slovenia
Hang Lai China
Dehui Yin China
Cho-Tsan Bau Taiwan
Ashok Kumar Dwivedi India
Akira Koseki Japan
Behdad Bahadorian Iran
Tarun Gangil relative to Dola Das Bangladesh Dola Das's profile →
Citations per field
00.5×5.3×
Dola Das · 1×
Citations per year

Countries citing papers authored by Tarun Gangil

Since Specialization
Citations

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

Fields of papers citing papers by Tarun Gangil

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tarun Gangil

This figure shows the co-authorship network connecting the top 25 collaborators of Tarun Gangil. A scholar is included among the top collaborators of Tarun Gangil based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Tarun Gangil. Tarun Gangil is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

7 of 7 papers shown
#WorkIndexed citations
1 0
2 1
3 0
4 12
5 11
6
Analysis of diabetes mellitus for early prediction using optimal features selectionbreakdown →
234
7 22

About Tarun Gangil

Tarun Gangil is a scholar working on Otorhinolaryngology, Family Practice and Health Information Management, having authored 7 papers that have together received 280 indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (3 papers), Head and Neck Cancer Studies (2 papers) and Artificial Intelligence in Healthcare (1 paper). The work is most often cited by research in Health Information Management (206 citations), Artificial Intelligence (168 citations) and Health Informatics (7 citations). Tarun Gangil has collaborated with scholars based in India, Netherlands and United Kingdom. Frequent co-authors include N Sneha, Krishna Sharan, Himanshu Matalia, Mathew Francis, Mathew Kurian, Rohit Shetty, Everette Jacob Remington Nelson, Abhijit Sinha Roy, Rajagopal Kadavigere and Sankar Prasad Gorthi. Their work appears in journals such as PLoS ONE, Frontiers in Oncology and Journal of Refractive Surgery.

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026