Mahesh Maindarkar

706 total citations
10 papers, 93 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 93 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 Radiomics and Machine Learning in Medical Imaging (2 papers), Artificial Intelligence in Healthcare and Education (2 papers) and Neurological disorders and treatments (2 papers). Mahesh Maindarkar is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (2 papers), Artificial Intelligence in Healthcare and Education (2 papers) and Neurological disorders and treatments (2 papers). Mahesh Maindarkar collaborates with scholars based in India, United States and Italy. Mahesh Maindarkar's co-authors include Luca Saba, Sanjay Saxena, Jasjit S. Suri, Sudip Paul, Monika Turk, Manudeep Kalra, Amer M. Johri, Narendra N. Khanna, Mostafa M. Fouda and Puspanjali Mohapatra and has published in prestigious journals such as Multimedia Tools and Applications, Rheumatology International and Metabolites.

In The Last Decade

Mahesh Maindarkar

10 papers receiving 92 citations

Peers

Mahesh Maindarkar
Comparison fields: 5 of 49
  • Radiology, Nuclear Medicine and Imaging 28
  • Neurology 19
  • Artificial Intelligence 19
  • Biomedical Engineering 14
  • Pulmonary and Respiratory Medicine 13
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Citations per field, relative to Mahesh Maindarkar
Mahesh Maindarkar · 1×
Citations per year, relative to Mahesh Maindarkar
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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

10 of 10 papers shown
# Work Indexed citations
1 2
2 1
3 1
4 7
5 2
6 6
7 33
8 26
9 14
10
CPW fed slot coupled wideband and multiband antennas for wireless applications
1

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