M. D. Srinivas

875 citations
26 papers · 568 · h-index 11

Impact in

Papers in

M. D. Srinivas

24 papers receiving 538 citations

Peers

M. D. Srinivas
Comparison fields: 5 of 47
  • Statistical and Nonlinear Physics 190
  • Atomic and Molecular Physics, and Optics 469
  • Artificial Intelligence 369
  • Acoustics and Ultrasonics 5
  • History and Philosophy of Science 19
Replace Gian Carlo Ghirardi with:
Gian Carlo Ghirardi Italy
Chris Isham United Kingdom
Teiko Heinonen Finland
R. M. Angelo Brazil
Michael Keyl Germany
Guruprasad Kar India
Marian Grabowski Poland
Alfred Landé United States
Willem M. de Muynck Netherlands
Matthias Kleinmann Germany
M. D. Srinivas relative to Gian Carlo Ghirardi Italy Gian Carlo Ghirardi's profile →
Citations per field
00.5×1.5×2.5×
Gian Carlo Ghirardi · 1×
Citations per year

Countries citing papers authored by M. D. Srinivas

Since Specialization
Citations

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

Fields of papers citing papers by M. D. Srinivas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 7 scholars most cited alongside M. D. Srinivas, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with M. D. Srinivas Line = papers co-authored together M. D. Srinivas links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1981221
2 198255
3 197543
4 198135
5 197533
6 201829
7 198027
8 197726
9 199625
10 197813
11 198511
12 19789
13 20147
14 19795
15 20145
16 19794
17 19774
18 19854
19 19743
20 19813

About M. D. Srinivas

M. D. Srinivas is a scholar working on Atomic and Molecular Physics, and Optics, Statistical and Nonlinear Physics, Artificial Intelligence, Astronomy and Astrophysics and History and Philosophy of Science, having authored 26 papers that have together received 568 indexed citations. Recurring topics across this work include Quantum Mechanics and Applications (20 papers), Quantum Information and Cryptography (13 papers), Statistical Mechanics and Entropy (7 papers), Advanced Thermodynamics and Statistical Mechanics (6 papers), History and advancements in chemistry (3 papers), Philosophy and History of Science (3 papers), Relativity and Gravitational Theory (2 papers) and Quantum optics and atomic interactions (2 papers). The work is most often cited by research in Statistical and Nonlinear Physics (190 citations), Atomic and Molecular Physics, and Optics (469 citations), Artificial Intelligence (369 citations), Acoustics and Ultrasonics (5 citations) and History and Philosophy of Science (19 citations). M. D. Srinivas has collaborated with scholars based in India, United States and Italy. Frequent co-authors include E. B. Davies, E. Wolf, R.P. Vijayalakshmi, Chetan Vudadha, Prabha Mandayam, Dipankar Home and Richard Simon. Their work appears in journals such as Physical Review A, Communications in Mathematical Physics, Pramana, Journal of Mathematical Physics and Journal of Physics Conference Series.

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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