Guru Prasad M S

685 total citations
74 papers, 234 citations indexed

About

Guru Prasad M S is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Information Systems. According to data from OpenAlex, Guru Prasad M S has authored 74 papers receiving a total of 234 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Artificial Intelligence, 16 papers in Computer Vision and Pattern Recognition and 12 papers in Information Systems. Recurrent topics in Guru Prasad M S's work include Smart Agriculture and AI (10 papers), Face and Expression Recognition (5 papers) and Spectroscopy and Chemometric Analyses (5 papers). Guru Prasad M S is often cited by papers focused on Smart Agriculture and AI (10 papers), Face and Expression Recognition (5 papers) and Spectroscopy and Chemometric Analyses (5 papers). Guru Prasad M S collaborates with scholars based in India, United States and Kazakhstan. Guru Prasad M S's co-authors include Mohd Asif Shah, Jyoti Agarwal, K. V. S. V. N. Raju, Somula Ramasubbareddy, Anisha P Rodrigues, S. Sankar, Tanvir Habib Sardar, Mangey Ram, Mohd Asif Shah and Arun Kumar Dubey and has published in prestigious journals such as Journal of Food Composition and Analysis, Journal of Molecular Structure and IET Image Processing.

In The Last Decade

Guru Prasad M S

44 papers receiving 217 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Guru Prasad M S India 8 66 65 25 19 18 74 234
Milan Tripathi Nepal 5 78 1.2× 86 1.3× 31 1.2× 11 0.6× 19 1.1× 7 248
Yogesh Kumar India 8 99 1.5× 75 1.2× 37 1.5× 22 1.2× 40 2.2× 37 274
Himanshu Pant India 9 78 1.2× 30 0.5× 25 1.0× 19 1.0× 15 0.8× 45 274
Mahmoud Othman Egypt 11 136 2.1× 49 0.8× 56 2.2× 20 1.1× 44 2.4× 26 297
P. Subashini India 10 101 1.5× 105 1.6× 11 0.4× 13 0.7× 23 1.3× 64 278
Zain ul Abideen Pakistan 12 76 1.2× 49 0.8× 37 1.5× 4 0.2× 27 1.5× 20 265
Piyush Kumar India 10 28 0.4× 57 0.9× 7 0.3× 15 0.8× 18 1.0× 31 258
Francisco J. Moreno-Barea Spain 3 103 1.6× 75 1.2× 9 0.4× 7 0.4× 7 0.4× 4 278
Bernd Malle Austria 4 165 2.5× 39 0.6× 28 1.1× 6 0.3× 15 0.8× 4 266
Ruhi Sharma Mittal India 6 128 1.9× 30 0.5× 33 1.3× 6 0.3× 22 1.2× 11 266

Countries citing papers authored by Guru Prasad M S

Since Specialization
Citations

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

Fields of papers citing papers by Guru Prasad M S

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Guru Prasad M S. 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 Guru Prasad M S. The network helps show where Guru Prasad M S may publish in the future.

Co-authorship network of co-authors of Guru Prasad M S

This figure shows the co-authorship network connecting the top 25 collaborators of Guru Prasad M S. A scholar is included among the top collaborators of Guru Prasad M S 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 Guru Prasad M S. Guru Prasad M S 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
1.
Jain, Trapti, et al.. (2025). Facial Expression Analysis for Efficient Disease Classification in Sheep Using a 3NM-CTA and LIFA-Based Framework. IETE Journal of Research. 71(8). 2700–2714. 2 indexed citations
2.
S, Guru Prasad M, et al.. (2025). Convergence of improved particle swarm optimization based ensemble model and explainable AI for the accurate detection of food adulteration in red chilli powder. Journal of Food Composition and Analysis. 143. 107577–107577. 2 indexed citations
3.
Sardar, Tanvir Habib, et al.. (2025). Enhancing Security in MANETs with Deep Learning-Based Intrusion Detection. Procedia Computer Science. 259. 120–129.
7.
S, Guru Prasad M, et al.. (2024). Rule-Based Sentiment Analysis for Twitter(X) Data. 1–5. 2 indexed citations
8.
S, Guru Prasad M, et al.. (2024). The integration of machine learning and IoT for the early detection of tomato leaf disease in real-time. Journal of Information and Optimization Sciences. 45(2). 305–314. 3 indexed citations
9.
S, Guru Prasad M, et al.. (2024). Efficient machine learning models for the detection of coconut milk adulteration. Journal of Information and Optimization Sciences. 45(2). 215–233.
11.
S, Guru Prasad M, et al.. (2024). Modelling appearance variations in expressive and neutral face image for automatic facial expression recognition. IET Image Processing. 18(9). 2449–2460. 4 indexed citations
12.
S, Guru Prasad M, et al.. (2023). Designing a Secure Audio / Text Based Captcha Using Neural Network. 3 indexed citations
13.
S, Guru Prasad M, et al.. (2023). Early Detection of Malignant Tumor in Lungs Using Feed-Forward Neural Network and K-Nearest Neighbor Classifier. SN Computer Science. 4(2). 20 indexed citations
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17.
S, Guru Prasad M, et al.. (2023). An Effective Cartoonifying of an Image using Machine Learning. 1–5. 1 indexed citations
18.
Chandrappa, S., et al.. (2023). Detection of Transmission Control Protocol XMAS Attack Using Pattern Analysis with MONOSEK. Journal of Nano- and Electronic Physics. 15(4). 4016–1.
20.
Rodrigues, Anisha P, et al.. (2015). Performance enhancement of Hadoop MapReduce framework for analyzing BigData. 1–8. 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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