Ritesh Maurya
Impact in
- Signal Processing top 10%
- Advanced Malware Detection Techniques
- Artificial Intelligence top 10%
- AI in cancer detection
Papers in
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- Digital Imaging for Blood Diseases 5
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- AI in cancer detection 8
- Co-authors
- Malay Kishore Dutta (17 shared papers)Radim Bürget (4 shared papers)Ashish Kumar Maurya (2 shared papers)Ajeet Kumar (2 shared papers)Vinay K. Pathak (6 shared papers)Anam Fatima (1 shared paper)Satyajit Mahapatra (6 shared papers)Mohan Karnati (7 shared papers)
- Journals
- IEEE Access (4 papers)Multimedia Tools and Applications (3 papers)International Journal of Imaging Systems and Technology (2 papers)Scientific Reports (2 papers)Biomedical Signal Processing and Control (2 papers)
- Partner nations
- IndiaCzechiaUnited Arab Emirates
In The Last Decade
Ritesh Maurya
33 papers receiving 318 citations
Peers
Comparison fields: 5 of 66
- Signal Processing 58
- Artificial Intelligence 142
- Software 12
- Computer Networks and Communications 69
- Health Information Management 14
Countries citing papers authored by Ritesh Maurya
This map shows the geographic impact of Ritesh Maurya'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 Ritesh Maurya with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ritesh Maurya more than expected).
Fields of papers citing papers by Ritesh Maurya
This network shows the impact of papers produced by Ritesh Maurya. 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 Ritesh Maurya. The network helps show where Ritesh Maurya may publish in the future.
Co-authors
The 25 scholars most cited alongside Ritesh Maurya, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 37 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 51 | |
| 2 | 2014 | 49 | |
| 3 | 2022 | 48 | |
| 4 | 2024 | 22 | |
| 5 | 2024 | 20 | |
| 6 | 2019 | 17 | |
| 7 | 2021 | 13 | |
| 8 | 2021 | 12 | |
| 9 | 2023 | 11 | |
| 10 | 2021 | 11 | |
| 11 | 2012 | 10 | |
| 12 | 2021 | 7 | |
| 13 | 2014 | 7 | |
| 14 | 2023 | 7 | |
| 15 | 2024 | 6 | |
| 16 | 2024 | 5 | |
| 17 | 2023 | 4 | |
| 18 | 2011 | 4 | |
| 19 | 2023 | 4 | |
| 20 | 2023 | 3 |
About Ritesh Maurya
Ritesh Maurya is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Oncology, Radiology, Nuclear Medicine and Imaging and Analytical Chemistry, having authored 37 papers that have together received 337 indexed citations. Recurring topics across this work include AI in cancer detection (8 papers), Cutaneous Melanoma Detection and Management (5 papers), Spectroscopy and Chemometric Analyses (5 papers), Digital Imaging for Blood Diseases (5 papers), Image Processing Techniques and Applications (4 papers), Brain Tumor Detection and Classification (4 papers), Smart Agriculture and AI (4 papers) and Optical Coherence Tomography Applications (3 papers). The work is most often cited by research in Signal Processing (58 citations), Artificial Intelligence (142 citations), Software (12 citations), Computer Networks and Communications (69 citations) and Health Information Management (14 citations). Ritesh Maurya has collaborated with scholars based in India, Czechia and United Arab Emirates. Frequent co-authors include Malay Kishore Dutta, Radim Bürget, Ashish Kumar Maurya, Ajeet Kumar, Vinay K. Pathak, Anam Fatima, Satyajit Mahapatra, Mohan Karnati, Václav Uher and Vibhav Prakash Singh. Their work appears in journals such as IEEE Access, Multimedia Tools and Applications, International Journal of Imaging Systems and Technology, Scientific Reports and Biomedical Signal Processing and Control.
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.