Uma Divakaran

1.4k citations
31 papers · 918 indexed · h-index 15

Uma Divakaran

29 papers receiving 905 citations

Peers

Uma Divakaran
Comparison fields: 5 of 38
  • Statistical and Nonlinear Physics 347
  • Atomic and Molecular Physics, and Optics 812
  • Condensed Matter Physics 303
  • Artificial Intelligence 237
  • Acoustics and Ultrasonics 6
Replace Patrizia Vignolo with:
Patrizia Vignolo France
Luca D’Alessio United States
Mohammad F. Maghrebi United States
Jean-Philippe Brantut Switzerland
T. Jacqmin France
F. Baboux France
Leonardo Mazza Italy
D. R. Gulevich United Kingdom
Zhao Liu China
Uma Divakaran relative to Patrizia Vignolo France Patrizia Vignolo's profile →
Citations per field
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Patrizia Vignolo · 1×
Citations per year

Countries citing papers authored by Uma Divakaran

Since Specialization
Citations

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

Fields of papers citing papers by Uma Divakaran

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 17 scholars most cited alongside Uma Divakaran, 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 Uma Divakaran Line = papers co-authored together Uma Divakaran links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20250
2 20243
3 20241
4 20222
5 20227
6 202137
7 201646
8 20165
9 201426
10 201430
11 201311
12 201231
13
Transverse field spin models: From Statistical Physics to Quantum Information
20104
14 201012
15
Quenching along a gapless line: a new exponent for defect density
20081
16 200818
17 200720
18 200711
19 200719
20 2007112

About Uma Divakaran

Uma Divakaran is a scholar working on Condensed Matter Physics, Statistical and Nonlinear Physics, Atomic and Molecular Physics, and Optics, Mathematical Physics and Artificial Intelligence, having authored 31 papers that have together received 918 indexed citations. Recurring topics across this work include Quantum many-body systems (23 papers), Theoretical and Computational Physics (10 papers), Opinion Dynamics and Social Influence (8 papers), Quantum and electron transport phenomena (7 papers), Cold Atom Physics and Bose-Einstein Condensates (6 papers), Quantum Information and Cryptography (6 papers), Physics of Superconductivity and Magnetism (5 papers) and Advanced Thermodynamics and Statistical Mechanics (5 papers). The work is most often cited by research in Statistical and Nonlinear Physics (347 citations), Atomic and Molecular Physics, and Optics (812 citations), Condensed Matter Physics (303 citations), Artificial Intelligence (237 citations) and Acoustics and Ultrasonics (6 citations). Uma Divakaran has collaborated with scholars based in India, United States and Germany. Frequent co-authors include Amit Dutta, Diptiman Sen, Victor Mukherjee, Bikas K. Chakrabarti, G. Aeppli, T. F. Rosenbaum, Shraddha Sharma, Anatoli Polkovnikov, K. Sengupta and Tanay Nag. Their work appears in journals such as Physical Review B, Physical review. E, Scientific Reports, Journal of Physics A Mathematical and Theoretical and Nature Communications.

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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