M. S. Sriram

596 total citations
44 papers, 351 citations indexed

About

M. S. Sriram is a scholar working on Artificial Intelligence, Statistical and Nonlinear Physics and Astronomy and Astrophysics. According to data from OpenAlex, M. S. Sriram has authored 44 papers receiving a total of 351 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Artificial Intelligence, 8 papers in Statistical and Nonlinear Physics and 7 papers in Astronomy and Astrophysics. Recurrent topics in M. S. Sriram's work include Historical Astronomy and Related Studies (6 papers), Quantum chaos and dynamical systems (6 papers) and Quantum Chromodynamics and Particle Interactions (5 papers). M. S. Sriram is often cited by papers focused on Historical Astronomy and Related Studies (6 papers), Quantum chaos and dynamical systems (6 papers) and Quantum Chromodynamics and Particle Interactions (5 papers). M. S. Sriram collaborates with scholars based in India, Sweden and United States. M. S. Sriram's co-authors include S. Dhivya, N. Selvamurugan, V. Srinivasan, S. Chaturvedi, Saravanan Sekaran, T. P. Sastry, M. Vairamani, R. Ramachandran, Hamdi Mani and Bindu A. Bambah and has published in prestigious journals such as Physics Letters B, International Journal of Biological Macromolecules and Advances in Materials Science and Engineering.

In The Last Decade

M. S. Sriram

36 papers receiving 336 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. Sriram India 9 105 67 59 50 42 44 351
Guoping Li China 10 32 0.3× 20 0.3× 28 0.5× 10 0.2× 22 0.5× 56 329
Lina Bao China 11 23 0.2× 9 0.1× 67 1.1× 54 1.1× 28 0.7× 31 340
Sahar Froim Israel 5 211 2.0× 76 1.1× 56 0.9× 32 0.6× 84 2.0× 9 406
S. P. Hu China 11 29 0.3× 15 0.2× 103 1.7× 7 0.1× 38 0.9× 45 382
Mingshu Chen China 11 70 0.7× 11 0.2× 12 0.2× 18 0.4× 100 2.4× 26 385
Jae-Kwon Kim South Korea 14 112 1.1× 7 0.1× 147 2.5× 7 0.1× 67 1.6× 48 662
Chenlu Li China 11 153 1.5× 27 0.4× 37 0.6× 36 0.7× 34 0.8× 64 380
Song Cui China 10 96 0.9× 45 0.7× 54 0.9× 5 0.1× 71 1.7× 25 373
Shi Chen China 13 84 0.8× 5 0.1× 229 3.9× 21 0.4× 137 3.3× 25 568
Guanjie Zheng China 9 65 0.6× 5 0.1× 12 0.2× 27 0.5× 45 1.1× 34 357

Countries citing papers authored by M. S. Sriram

Since Specialization
Citations

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

Fields of papers citing papers by M. S. Sriram

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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

This figure shows the co-authorship network connecting the top 25 collaborators of M. S. Sriram. A scholar is included among the top collaborators of M. S. Sriram 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. Sriram. M. S. Sriram 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.
2.
Sriram, M. S.. (2025). Mobile App for Direct Market Access for Farmers. INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT. 9(5). 1–9. 1 indexed citations
3.
Sriram, M. S., et al.. (2024). Improving predictive performance in e-learning through hybrid 2-tier feature selection and hyper parameter-optimized 3-tier ensemble modeling. International Journal of Information Technology. 16(8). 5429–5456. 18 indexed citations
4.
Sriram, M. S., et al.. (2024). An analysis of diverse computational models for predicting student achievement on e-learning platforms using machine learning. International Journal of Power Electronics and Drive Systems/International Journal of Electrical and Computer Engineering. 14(6). 7013–7013. 3 indexed citations
5.
Sriram, M. S., et al.. (2024). Green Manufacturing and Performances in Apparel Export Industry: Mediating Role of Green Innovation. Environmental Research Engineering and Management. 80(3). 99–110. 1 indexed citations
6.
Karthik, B., et al.. (2023). Feature Selection Model using Naive Bayes ML Algorithm for WSN Intrusion Detection System. International journal of electrical and computer engineering systems. 14(2). 179–185. 6 indexed citations
7.
8.
Raju, B., M. S. Sriram, & V. Ganesan. (2023). Aspect Based Text Summarization Model for the E-Commerce Recommendation System. 1–6. 1 indexed citations
9.
Deepa, T., et al.. (2022). Fatigue Failure Analysis of a Gear in Automobile Engine Coolant Pump. Advances in Materials Science and Engineering. 2022. 1–8. 2 indexed citations
10.
Karthik, B., M. S. Sriram, & M. Jasmin. (2019). Low Power and High Performance MTCMOS Conditional Discharge Flip Flop. International Journal of Engineering and Advanced Technology. 8(6s2). 341–344. 2 indexed citations
11.
Sriram, M. S., et al.. (2018). Karaṇapaddhati of Putumana Somayājī. CERN Document Server (European Organization for Nuclear Research). 1 indexed citations
12.
Sriram, M. S., S. Dhivya, Saravanan Sekaran, et al.. (2015). Scaffolds containing chitosan/carboxymethyl cellulose/mesoporous wollastonite for bone tissue engineering. International Journal of Biological Macromolecules. 80. 481–488. 108 indexed citations
13.
Sriram, M. S., et al.. (2014). Biomaterials mediated microRNA delivery for bone tissue engineering. International Journal of Biological Macromolecules. 74. 404–412. 49 indexed citations
14.
Sriram, M. S., et al.. (1996). Spatiotemporal chaos in chiral soliton models. Physical review. D. Particles, fields, gravitation, and cosmology/Physical review. D. Particles and fields. 53(7). 3976–3982. 4 indexed citations
15.
Sriram, M. S., et al.. (1995). B = 2 toroidal soliton in a chiral quark meson model. Physics Letters B. 342(1-4). 201–205. 3 indexed citations
16.
Bambah, Bindu A., et al.. (1993). Chaotic behavior in Chern-Simons-Higgs systems. Physical review. D. Particles, fields, gravitation, and cosmology/Physical review. D. Particles and fields. 47(10). 4677–4687. 10 indexed citations
17.
Chaturvedi, S., M. S. Sriram, & V. Srinivasan. (1987). Berry's phase for coherent states. Journal of Physics A Mathematical and General. 20(16). L1071–L1075. 57 indexed citations
18.
Sriram, M. S., Hamdi Mani, & R. Ramachandran. (1984). Static properties of baryons in the SU(3) Skyrme model. Physical review. D. Particles, fields, gravitation, and cosmology/Physical review. D. Particles and fields. 30(5). 1141–1143. 15 indexed citations
19.
Srinivas, M., et al.. (1972). Quantum corrections to liquid correlations. International Journal of Theoretical Physics. 5(4). 263–273. 2 indexed citations
20.
Sriram, M. S., et al.. (1969). A note on the relation between dynamical theories and functional equations. Lettere al nuovo cimento della societa italiana di fisica/Lettere al nuovo cimento. 2(11). 567–570. 1 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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