Tarun Gangil

453 total citations · 1 hit paper
7 papers, 280 citations indexed

About

Tarun Gangil is a scholar working on Radiology, Nuclear Medicine and Imaging, Otorhinolaryngology and Epidemiology. According to data from OpenAlex, Tarun Gangil has authored 7 papers receiving a total of 280 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Radiology, Nuclear Medicine and Imaging, 2 papers in Otorhinolaryngology and 2 papers in Epidemiology. Recurrent topics in Tarun Gangil's 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). Tarun Gangil is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (3 papers), Head and Neck Cancer Studies (2 papers) and Artificial Intelligence in Healthcare (1 paper). Tarun Gangil collaborates with scholars based in India, Netherlands and United Kingdom. Tarun Gangil's co-authors include N Sneha, Krishna Sharan, Himanshu Matalia, Abhijit Sinha Roy, Everette Jacob Remington Nelson, Mathew Francis, Rohit Shetty, Mathew Kurian, Rajagopal Kadavigere and Uwe Oelfke and has published in prestigious journals such as PLoS ONE, Frontiers in Oncology and Journal of Refractive Surgery.

In The Last Decade

Tarun Gangil

5 papers receiving 249 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Analysis of diabetes mellitus for early prediction using optimal features selection

2019 234 citations N Sneha, Tarun Gangil Journal Of Big Data profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Tarun Gangil India	4	206	168	74	30	23	7	280
Dola Das Bangladesh	3	277 1.3×	230 1.4×	40 0.5×	24 0.8×	51 2.2×	10	353
Shahid Mohammad Ganie India	9	193 0.9×	160 1.0×	39 0.5×	11 0.4×	15 0.7×	22	311
Sajida Perveen Pakistan	8	282 1.4×	225 1.3×	40 0.5×	44 1.5×	40 1.7×	11	422
Ashok Kumar Dwivedi India	6	250 1.2×	209 1.2×	71 1.0×	26 0.9×	21 0.9×	14	452
Leon Kopitar Slovenia	4	160 0.8×	136 0.8×	29 0.4×	8 0.3×	21 0.9×	5	238
Hang Lai China	4	169 0.8×	146 0.9×	16 0.2×	11 0.4×	27 1.2×	6	253
Dehui Yin China	2	430 2.1×	317 1.9×	54 0.7×	42 1.4×	64 2.8×	3	570
Akira Koseki Japan	8	84 0.4×	131 0.8×	30 0.4×	43 1.4×	2 0.1×	25	334
Aishwariya Dutta Bangladesh	4	70 0.3×	105 0.6×	25 0.3×	11 0.4×	9 0.4×	5	204
Cho-Tsan Bau Taiwan	6	51 0.2×	108 0.6×	14 0.2×	51 1.7×	4 0.2×	9	197

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

Sort: Min cites: Since: Top N: Style:

7 of 7 papers shown

1.

Eiben, Björn, Alex Dunlop, Tarun Gangil, et al.. (2024). Clinical acceptance and dosimetric impact of automatically delineated elective target and organs at risk for head and neck MR-Linac patients. Frontiers in Oncology. 14. 1358350–1358350.

2.

Gangil, Tarun, et al.. (2024). Examining Diagnostic Errors in the Field of Otorhinolaryngology within the Challenging Landscape of Limited-Resource Healthcare. Indian Journal of Otolaryngology and Head & Neck Surgery. 76(3). 2714–2721. 1 indexed citations

3.

Gangil, Tarun, et al.. (2023). Prognosticating Acute Ischemic Stroke and Estimating the Feasibility of Mapping Stroke Volume to the Functional Outcomes Using Diffusion-Weighted Images: A Systematic Review Protocol. Annals of Indian Academy of Neurology. 26(4). 382–386.

4.

Gangil, Tarun, et al.. (2022). Predicting clinical outcomes of radiotherapy for head and neck squamous cell carcinoma patients using machine learning algorithms. Journal Of Big Data. 9(1). 12 indexed citations

5.

Gangil, Tarun, et al.. (2022). Utility of adding Radiomics to clinical features in predicting the outcomes of radiotherapy for head and neck cancer using machine learning. PLoS ONE. 17(12). e0277168–e0277168. 11 indexed citations

6.

Sneha, N & Tarun Gangil. (2019). Analysis of diabetes mellitus for early prediction using optimal features selection. Journal Of Big Data. 6(1). 234 indexed citations breakdown →

7.

Matalia, Himanshu, Mathew Francis, Tarun Gangil, et al.. (2017). Noncontact Quantification of Topography of Anterior Corneal Surface and Bowman's Layer With High-Speed OCT. Journal of Refractive Surgery. 33(5). 330–336. 22 indexed citations

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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