Ritesh Maurya

563 total citations
37 papers, 337 citations indexed

About

Ritesh Maurya is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Oncology. According to data from OpenAlex, Ritesh Maurya has authored 37 papers receiving a total of 337 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Computer Vision and Pattern Recognition, 12 papers in Artificial Intelligence and 5 papers in Oncology. Recurrent topics in Ritesh Maurya's work include AI in cancer detection (8 papers), Digital Imaging for Blood Diseases (5 papers) and Spectroscopy and Chemometric Analyses (5 papers). Ritesh Maurya is often cited by papers focused on AI in cancer detection (8 papers), Digital Imaging for Blood Diseases (5 papers) and Spectroscopy and Chemometric Analyses (5 papers). Ritesh Maurya collaborates with scholars based in India, Czechia and United Arab Emirates. Ritesh Maurya's co-authors include Malay Kishore Dutta, Radim Bürget, Ajeet Kumar, Ashish Kumar Maurya, Vinay K. Pathak, Anam Fatima, Satyajit Mahapatra, Mohan Karnati, Vinay Kumar Pathak and Vibhav Prakash Singh and has published in prestigious journals such as Scientific Reports, IEEE Access and Computer Methods and Programs in Biomedicine.

In The Last Decade

Ritesh Maurya

33 papers receiving 318 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ritesh Maurya India 11 142 69 59 58 58 37 337
Kapil Kumar Nagwanshi India 7 113 0.8× 35 0.5× 25 0.4× 80 1.4× 20 0.3× 36 253
Chetna Kaushal India 11 205 1.4× 46 0.7× 23 0.4× 92 1.6× 10 0.2× 44 439
Xiaoying Qiu China 9 95 0.7× 42 0.6× 15 0.3× 21 0.4× 33 0.6× 25 306
Sanjay Nair India 5 202 1.4× 39 0.6× 195 3.3× 55 0.9× 27 0.5× 18 365
Yousef B. Mahdy Egypt 7 115 0.8× 148 2.1× 37 0.6× 70 1.2× 128 2.2× 19 322
R. Cristin India 9 88 0.6× 39 0.6× 11 0.2× 79 1.4× 24 0.4× 31 279
K. P. Sanal Kumar India 6 197 1.4× 15 0.2× 195 3.3× 139 2.4× 26 0.4× 14 417
R. R. Rajalaxmi India 13 228 1.6× 38 0.6× 5 0.1× 47 0.8× 25 0.4× 37 403
Myasar Mundher Adnan Iraq 9 71 0.5× 29 0.4× 16 0.3× 111 1.9× 26 0.4× 78 258
Godwin Brown Tunze Tanzania 7 139 1.0× 34 0.5× 7 0.1× 42 0.7× 11 0.2× 8 294

Countries citing papers authored by Ritesh Maurya

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Ritesh Maurya

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

All Works

20 of 20 papers shown
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Maurya, Ritesh, et al.. (2025). Exploring the potential of lightweight large language models for AI-based mental health counselling task: a novel comparative study. Scientific Reports. 15(1). 22463–22463. 2 indexed citations
3.
Maurya, Ritesh, et al.. (2024). FCCS-Net: Breast cancer classification using Multi-Level fully Convolutional-Channel and spatial attention-based transfer learning approach. Biomedical Signal Processing and Control. 94. 106258–106258. 22 indexed citations
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Maurya, Ritesh, Satyajit Mahapatra, Malay Kishore Dutta, et al.. (2024). Skin cancer detection through attention guided dual autoencoder approach with extreme learning machine. Scientific Reports. 14(1). 17785–17785. 5 indexed citations
6.
Maurya, Ritesh, et al.. (2024). DriSm_YNet: a breakthrough in real-time recognition of driver smoking behavior using YOLO-NAS. Neural Computing and Applications. 36(29). 18413–18432.
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Maurya, Ritesh, et al.. (2023). MacD‐Net: An automatic guided‐ensemble approach for macular pathology detection using optical coherence tomography images. International Journal of Imaging Systems and Technology. 34(1). 4 indexed citations
9.
Maurya, Ritesh, Arti Srivastava, Ashutosh Srivastava, Vinay K. Pathak, & Malay Kishore Dutta. (2023). Computer aided detection of mercury heavy metal intoxicated fish: an application of machine vision and artificial intelligence technique. Multimedia Tools and Applications. 82(13). 20517–20536. 11 indexed citations
10.
Maurya, Ritesh, et al.. (2023). Multi-Head Attention-Based Transfer Learning Approach for Potato Disease Detection. 165–169. 3 indexed citations
11.
Singh, Vibhav Prakash, et al.. (2023). Improved content-based brain tumor retrieval for magnetic resonance images using weight initialization framework with densely connected deep neural network. Neural Computing and Applications. 37(25). 20437–20450. 1 indexed citations
12.
Maurya, Ritesh, et al.. (2021). Computer-aided automatic transfer learning based approach for analysing the effect of high-frequency EMF radiation on brain. Multimedia Tools and Applications. 81(10). 13713–13729. 1 indexed citations
13.
Maurya, Ritesh, Vinay K. Pathak, Radim Bürget, & Malay Kishore Dutta. (2021). Automated detection of bioimages using novel deep feature fusion algorithm and effective high-dimensional feature selection approach. Computers in Biology and Medicine. 137. 104862–104862. 13 indexed citations
14.
Maurya, Ritesh, Vinay K. Pathak, & Malay Kishore Dutta. (2021). Computer-aided diagnosis of auto-immune disease using capsule neural network. Multimedia Tools and Applications. 81(10). 13611–13632. 7 indexed citations
15.
Maurya, Ritesh, Vinay K. Pathak, & Malay Kishore Dutta. (2021). Deep learning based microscopic cell images classification framework using multi-level ensemble. Computer Methods and Programs in Biomedicine. 211. 106445–106445. 12 indexed citations
16.
Maurya, Ritesh, et al.. (2020). Machine learning–based identification of radiofrequency electromagnetic radiation (RF-EMR) effect on brain morphology: a preliminary study. Medical & Biological Engineering & Computing. 58(8). 1751–1765. 2 indexed citations
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Maurya, Ritesh, et al.. (2018). Recognition of a Medieval Indic-Modi Script using Empirically Determined Heuristics in Hybrid Feature Space. International Journal of Computer Sciences and Engineering. 6(2). 136–142. 1 indexed citations
19.
Maurya, Ritesh, et al.. (2017). Innovative Technique of Segmentation and Feature Extraction for Melanoma Detection. International Journal of Computer Sciences and Engineering. 5(10). 100–104.
20.
Maurya, Ashish Kumar, Dinesh Singh, Ajeet Kumar, & Ritesh Maurya. (2014). Random waypoint mobility model based performance estimation of On-Demand routing protocols in MANET for CBR applications. 835–839. 7 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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