M. S.

466 total citations
9 papers, 323 citations indexed

About

M. S. is a scholar working on Plant Science, Health Information Management and General Agricultural and Biological Sciences. According to data from OpenAlex, M. S. has authored 9 papers receiving a total of 323 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Plant Science, 3 papers in Health Information Management and 2 papers in General Agricultural and Biological Sciences. Recurrent topics in M. S.'s work include Smart Agriculture and AI (4 papers), Artificial Intelligence in Healthcare (3 papers) and Spectroscopy and Chemometric Analyses (2 papers). M. S. is often cited by papers focused on Smart Agriculture and AI (4 papers), Artificial Intelligence in Healthcare (3 papers) and Spectroscopy and Chemometric Analyses (2 papers). M. S. collaborates with scholars based in India, Indonesia and United States. M. S.'s co-authors include R. Bhargavi and Maneesh Singh and has published in prestigious journals such as Computers and Electronics in Agriculture, Knowledge-Based Systems and Applied Artificial Intelligence.

In The Last Decade

M. S.

6 papers receiving 297 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
M. S. India 4 242 80 70 43 28 9 323
Dilli Paudel Netherlands 6 304 1.3× 143 1.8× 83 1.2× 32 0.7× 38 1.4× 8 463
Aikaterini Kasimati Greece 12 222 0.9× 114 1.4× 41 0.6× 21 0.5× 50 1.8× 23 407
Santosha Rathod India 13 219 0.9× 28 0.3× 46 0.7× 32 0.7× 59 2.1× 89 533
Maya L. Pai India 8 179 0.7× 21 0.3× 71 1.0× 39 0.9× 86 3.1× 21 336
Zeynep Ünal Türkiye 9 189 0.8× 27 0.3× 69 1.0× 17 0.4× 10 0.4× 24 297
L. A. S. Romani Brazil 9 79 0.3× 78 1.0× 19 0.3× 27 0.6× 34 1.2× 49 267
Wan Ishak Wan Ismail Malaysia 11 271 1.1× 127 1.6× 90 1.3× 16 0.4× 26 0.9× 62 448
V. C. Patil India 9 241 1.0× 170 2.1× 45 0.6× 38 0.9× 89 3.2× 50 462
Luan Pierre Pott Brazil 8 298 1.2× 242 3.0× 72 1.0× 19 0.4× 79 2.8× 17 478
Zulong Lai China 4 240 1.0× 183 2.3× 55 0.8× 19 0.4× 76 2.7× 8 363

Countries citing papers authored by M. S.

Since Specialization
Citations

This map shows the geographic impact of 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 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 M. S. more than expected).

Fields of papers citing papers by M. S.

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of M. S.

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

All Works

9 of 9 papers shown
1.
S., M., et al.. (2025). Optimized double transformer residual super-resolution network-based X-ray images for classification of pneumonia identification. Knowledge-Based Systems. 311. 113037–113037. 3 indexed citations
2.
S., M., et al.. (2025). Heart disease detection using novel ensemble approach: RF- GB-SVM stacking classifier. Procedia Computer Science. 258. 2647–2658.
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S., M. & R. Bhargavi. (2019). Selection of Important Features for Optimizing Crop Yield Prediction. International Journal of Agricultural and Environmental Information Systems. 10(3). 54–71. 26 indexed citations
7.
S., M. & R. Bhargavi. (2019). A novel approach for efficient crop yield prediction. Computers and Electronics in Agriculture. 165. 104968–104968. 164 indexed citations
8.
S., M. & R. Bhargavi. (2019). Performance Evaluation of Best Feature Subsets for Crop Yield Prediction Using Machine Learning Algorithms. Applied Artificial Intelligence. 33(7). 621–642. 113 indexed citations
9.
S., M. & R. Bhargavi. (2019). Optimum Feature Subset for Optimizing Crop Yield Prediction Using Filter and Wrapper Approaches. Applied Engineering in Agriculture. 35(1). 9–14. 16 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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2026