Manan Vyas

522 total citations
42 papers, 376 citations indexed

About

Manan Vyas is a scholar working on Atomic and Molecular Physics, and Optics, Statistical and Nonlinear Physics and Electrical and Electronic Engineering. According to data from OpenAlex, Manan Vyas has authored 42 papers receiving a total of 376 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Atomic and Molecular Physics, and Optics, 17 papers in Statistical and Nonlinear Physics and 8 papers in Electrical and Electronic Engineering. Recurrent topics in Manan Vyas's work include Quantum chaos and dynamical systems (15 papers), Cold Atom Physics and Bose-Einstein Condensates (7 papers) and Solar and Space Plasma Dynamics (7 papers). Manan Vyas is often cited by papers focused on Quantum chaos and dynamical systems (15 papers), Cold Atom Physics and Bose-Einstein Condensates (7 papers) and Solar and Space Plasma Dynamics (7 papers). Manan Vyas collaborates with scholars based in India, Mexico and Canada. Manan Vyas's co-authors include G. D. Pitt, V. K. B. Kota, R. K. Chhajlani, Lea F. Santos, E. Jonathan Torres-Herrera, Jitesh R. Bhatt, Prasanta K. Panigrahi, Steven Tomsovic, T. H. Seligman and Christopher Pickering and has published in prestigious journals such as PLoS ONE, Physical Review A and Physics Letters A.

In The Last Decade

Manan Vyas

42 papers receiving 353 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Manan Vyas India 11 262 138 70 47 46 42 376
H. R. Rastegar Sedehi Iran 15 391 1.5× 171 1.2× 92 1.3× 41 0.9× 113 2.5× 46 549
Ying Jing China 2 270 1.0× 71 0.5× 36 0.5× 29 0.6× 82 1.8× 5 355
P. V. Elyutin Russia 10 217 0.8× 108 0.8× 54 0.8× 11 0.2× 29 0.6× 41 317
A. Calogeracos United Kingdom 8 371 1.4× 121 0.9× 37 0.5× 83 1.8× 10 0.2× 22 422
Yu. Makhlin Russia 8 470 1.8× 96 0.7× 19 0.3× 67 1.4× 90 2.0× 15 563
L. S. Revin Russia 11 220 0.8× 58 0.4× 101 1.4× 115 2.4× 98 2.1× 45 367
F. Hasselbach Germany 9 414 1.6× 37 0.3× 71 1.0× 19 0.4× 135 2.9× 18 496
Urban M. Studer Switzerland 6 300 1.1× 51 0.4× 24 0.3× 41 0.9× 21 0.5× 9 357
U. Geigenmüller Netherlands 10 233 0.9× 77 0.6× 75 1.1× 9 0.2× 39 0.8× 19 349
R. C. T. da Costa Brazil 4 405 1.5× 118 0.9× 67 1.0× 13 0.3× 30 0.7× 10 493

Countries citing papers authored by Manan Vyas

Since Specialization
Citations

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

Fields of papers citing papers by Manan Vyas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Manan Vyas

This figure shows the co-authorship network connecting the top 25 collaborators of Manan Vyas. A scholar is included among the top collaborators of Manan Vyas 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 Manan Vyas. Manan Vyas 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.
Vyas, Manan, et al.. (2024). Coarse graining correlation matrices according to macrostructures: financial markets as a paradigm. Physica Scripta. 99(8). 85204–85204. 1 indexed citations
2.
Vyas, Manan, et al.. (2024). COVID anomaly in the correlation analysis of S&P 500 market states. PLoS ONE. 19(4). e0301238–e0301238. 1 indexed citations
3.
Vyas, Manan, et al.. (2023). Raphael at ArAIEval Shared Task: Understanding Persuasive Language and Tone, an LLM Approach. 589–593. 2 indexed citations
4.
Vyas, Manan, et al.. (2023). Non-linear correlation analysis in financial markets using hierarchical clustering. Journal of Physics Communications. 7(5). 55003–55003. 1 indexed citations
5.
Vyas, Manan & V. K. B. Kota. (2023). Two-species k-body embedded Gaussian unitary ensembles: q-normal form of the eigenvalue density. Journal of Statistical Mechanics Theory and Experiment. 2023(9). 93103–93103. 1 indexed citations
6.
Kota, V. K. B. & Manan Vyas. (2022). Statistical nuclear spectroscopy with q-normal and bivariate q-normal distributions and q-hermite polynomials. Annals of Physics. 446. 169131–169131. 3 indexed citations
7.
Vyas, Manan & V. K. B. Kota. (2020). Bivariate q -normal distribution for transition matrix elements in quantum many-body systems. Journal of Statistical Mechanics Theory and Experiment. 2020(9). 93101–93101. 5 indexed citations
8.
Vyas, Manan, Thomas Guhr, & T. H. Seligman. (2018). Multivariate analysis of short time series in terms of ensembles of correlation matrices. arXiv (Cornell University). 4 indexed citations
9.
Kumar, Aman, et al.. (2017). Are Cited References Meaningful? Measuring Semantic Relatedness in Citation Analysis.. International ACM SIGIR Conference on Research and Development in Information Retrieval. 113–118. 2 indexed citations
10.
Vyas, Manan. (2017). Non-equilibrium many-body dynamics following a quantum quench. AIP conference proceedings. 1910. 20020–20020. 2 indexed citations
11.
Kumar, Aman, et al.. (2016). Experiments in Candidate Phrase Selection for Financial Named Entity Extraction - A Demo. International Conference on Computational Linguistics. 45–48. 2 indexed citations
12.
Vyas, Manan, et al.. (2016). Generalized Gaussian wave packet dynamics: Integrable and chaotic systems. Physical review. E. 93(1). 12213–12213. 19 indexed citations
13.
Kota, V. K. B., et al.. (2013). Random matrix ensemble with random two-body interactions in the presence of a mean field for spin-one boson systems. Physical Review E. 88(2). 22130–22130. 5 indexed citations
14.
Vyas, Manan, V. K. B. Kota, & P. C. Srivastava. (2011). One plus two-body random matrix ensembles with parity: Density of states and parity ratios. Physical Review C. 83(6). 3 indexed citations
15.
Vyas, Manan & V. K. B. Kota. (2010). Random matrix structure of nuclear shell model Hamiltonian matrices and comparison with an atomic example. The European Physical Journal A. 45(1). 111–120. 5 indexed citations
16.
Vyas, Manan, et al.. (2010). Transitions in eigenvalue and wavefunction structure in(1+2)-body random matrix ensembles with spin. Physical Review E. 81(3). 36212–36212. 17 indexed citations
17.
Chhajlani, R. K. & Manan Vyas. (1989). Magnetogravitational Instability of a Thermally Conducting Rotating Plasma through a Porous Medium. Contributions to Plasma Physics. 29(1). 91–108. 5 indexed citations
18.
Pickering, Christopher, A.R. Adams, G. D. Pitt, & Manan Vyas. (1975). The effect of pressure on the high electric field instabilities in n-type GaAs. Journal of Physics C Solid State Physics. 8(2). 129–137. 10 indexed citations
19.
Vyas, Manan & G. D. Pitt. (1974). Hydrostatic pressure resistivity variation in n-type ZnSiP2, CdSiP2and CdGeAs2. Journal of Physics C Solid State Physics. 7(23). L423–L426. 3 indexed citations
20.
Pitt, G. D. & Manan Vyas. (1973). Electrical properties of InAs to very high pressures. Journal of Physics C Solid State Physics. 6(2). 274–284. 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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