T. S. Mahesh
- Atomic and Molecular Physics, and Optics top 2%
- Artificial Intelligence top 1%
- Spectroscopy top 5%
- Statistical and Nonlinear Physics top 5%
- Materials Chemistry
- Co-authors
- Soumya S. RoyDieter SuterAbhishek ShuklaAnil KumarNeeraj SinhaK. V. RamanathanDeepak KhuranaBijay Kumar Agarwalla
- Topics
- Quantum Information and Cryptography (35 papers)Quantum Computing Algorithms and Architecture (30 papers)Advanced NMR Techniques and Applications (19 papers)
- Cited by
- Atomic and Molecular Physics, and OpticsArtificial IntelligenceStatistical and Nonlinear Physics
- Journals
- Physical Review LettersThe Journal of Chemical PhysicsSHILAP Revista de lepidopterología
- Partner nations
- IndiaGermanyUnited States
In The Last Decade
T. S. Mahesh
62 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 62
- Atomic and Molecular Physics, and Optics 909
- Artificial Intelligence 875
- Spectroscopy 242
- Statistical and Nonlinear Physics 211
- Materials Chemistry 53
Countries citing papers authored by T. S. Mahesh
This map shows the geographic impact of T. S. Mahesh'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 T. S. Mahesh with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites T. S. Mahesh more than expected).
Fields of papers citing papers by T. S. Mahesh
This network shows the impact of papers produced by T. S. Mahesh. 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 T. S. Mahesh. The network helps show where T. S. Mahesh may publish in the future.
Co-authorship network of co-authors of T. S. Mahesh
This figure shows the co-authorship network connecting the top 25 collaborators of T. S. Mahesh. A scholar is included among the top collaborators of T. S. Mahesh 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 T. S. Mahesh. T. S. Mahesh is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 4 | |
| 3 | 0 | |
| 4 | 2 | |
| 5 | 1 | |
| 6 | 84 | |
| 7 | 9 | |
| 8 | 19 | |
| 9 | 8 | |
| 10 | 7 | |
| 11 | 48 | |
| 12 | 72 | |
| 13 | 14 | |
| 14 | 14 | |
| 15 | 142 | |
| 16 | 31 | |
| 17 | 13 | |
| 18 | 8 | |
| 19 | 33 | |
| 20 | 20 |
About T. S. Mahesh
T. S. Mahesh is a scholar working on Spectroscopy, Atomic and Molecular Physics, and Optics and Artificial Intelligence, having authored 66 papers that have together received 1.2k indexed citations. Recurring topics across this work include Quantum Information and Cryptography (35 papers), Quantum Computing Algorithms and Architecture (30 papers) and Advanced NMR Techniques and Applications (19 papers). The work is most often cited by research in Atomic and Molecular Physics, and Optics (909 citations), Artificial Intelligence (875 citations) and Statistical and Nonlinear Physics (211 citations). T. S. Mahesh has collaborated with scholars based in India, Germany and United States. Frequent co-authors include Soumya S. Roy, Dieter Suter, Abhishek Shukla, Anil Kumar, Anil Kumar, Neeraj Sinha, K. V. Ramanathan, Deepak Khurana, Bijay Kumar Agarwalla and Arnab Das. Their work appears in journals such as Physical Review Letters, The Journal of Chemical Physics and SHILAP Revista de lepidopterología.
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.