Mahesh Maindarkar

25 total papers · 680 total citations
10 papers, 89 citations indexed

About

Mahesh Maindarkar is a scholar working on Radiology, Nuclear Medicine and Imaging, Neurology and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Mahesh Maindarkar has authored 10 papers receiving a total of 89 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Radiology, Nuclear Medicine and Imaging, 2 papers in Neurology and 2 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Mahesh Maindarkar's work include Neurological disorders and treatments (2 papers), Artificial Intelligence in Healthcare and Education (2 papers) and COVID-19 diagnosis using AI (2 papers). Mahesh Maindarkar is often cited by papers focused on Neurological disorders and treatments (2 papers), Artificial Intelligence in Healthcare and Education (2 papers) and COVID-19 diagnosis using AI (2 papers). Mahesh Maindarkar collaborates with scholars based in India, United States and Italy. Mahesh Maindarkar's co-authors include Luca Saba, Jasjit S. Suri, Sanjay Saxena, Sudip Paul, Monika Turk, Manudeep Kalra, Narendra N. Khanna, Amer M. Johri, Mostafa M. Fouda and Klaudija Višković and has published in prestigious journals such as Multimedia Tools and Applications, Rheumatology International and Metabolites.

In The Last Decade

Mahesh Maindarkar

9 papers receiving 87 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Mahesh Maindarkar 25 19 18 13 13 10 89
Haris Shuaib 87 3.5× 6 0.3× 18 1.0× 15 1.2× 12 0.9× 15 218
Maxime Berg 42 1.7× 16 0.8× 5 0.3× 18 1.4× 27 2.1× 10 125
Roberto Bruno Bossio 23 0.9× 32 1.7× 22 1.2× 13 1.0× 9 0.7× 11 219
Fridtjof Schiefenhövel 14 0.6× 11 0.6× 15 0.8× 15 1.2× 26 2.0× 11 269
Leonor Cerdá-Alberich 52 2.1× 11 0.6× 20 1.1× 10 0.8× 14 1.1× 12 87
Michael Winklehner 11 0.4× 63 3.3× 6 0.3× 10 0.8× 10 0.8× 9 238
Changxin Li 31 1.2× 18 0.9× 13 0.7× 6 0.5× 3 0.2× 14 74
Engin Dikici 34 1.4× 3 0.2× 13 0.7× 10 0.8× 6 0.5× 12 69
Gerome Vivar 31 1.2× 27 1.4× 19 1.1× 16 1.2× 13 1.0× 7 119
E. Veronese 55 2.2× 10 0.5× 11 0.6× 26 2.0× 17 1.3× 18 231

Countries citing papers authored by Mahesh Maindarkar

Since Specialization
Citations

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

Fields of papers citing papers by Mahesh Maindarkar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mahesh Maindarkar

This figure shows the co-authorship network connecting the top 25 collaborators of Mahesh Maindarkar. A scholar is included among the top collaborators of Mahesh Maindarkar 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 Mahesh Maindarkar. Mahesh Maindarkar is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Loading papers...

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