Arnab Das

3.6k citations
66 papers · 2.6k · 3 hit papers · h-index 22

Impact in

Papers in

Arnab Das

63 papers receiving 2.5k citations

Arnab Das's Hit Papers

Fate of Many-Body Localization Under Periodic Driving 2015 · 274 citations
2740+6+12Years since publication100200300400

Peers

Arnab Das
Comparison fields: 5 of 79
  • Condensed Matter Physics 876
  • Atomic and Molecular Physics, and Optics 1.8k
  • Statistical and Nonlinear Physics 668
  • Computational Mathematics 18
  • Artificial Intelligence 703
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Countries citing papers authored by Arnab Das

Since Specialization
Citations

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

Fields of papers citing papers by Arnab Das

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Arnab Das, 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 Arnab Das Line = papers co-authored together Arnab Das links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 66 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Colloquium: Quantum annealing and analog quantum computation
Hit paper breakdown →
2008429
2
Equilibrium states of generic quantum systems subject to periodic driving
Hit paper breakdown →
2014349
3
Fate of Many-Body Localization Under Periodic Driving
Hit paper breakdown →
2015274
4 2014163
5 2010121
6 201286
7 200683
8 200880
9
Quantum Annealing and Related Optimization Methods 679
200573
10 201866
11 201460
12 199257
13 199056
14 201252
15 202145
16 198937
17 199334
18 199633
19 201631
20 199128

About Arnab Das

Arnab Das is a scholar working on Condensed Matter Physics, Atomic and Molecular Physics, and Optics, Electronic, Optical and Magnetic Materials, Statistical and Nonlinear Physics and Artificial Intelligence, having authored 66 papers that have together received 2.6k indexed citations. Recurring topics across this work include Physics of Superconductivity and Magnetism (37 papers), Quantum many-body systems (22 papers), Magnetic and transport properties of perovskites and related materials (17 papers), Advanced Condensed Matter Physics (9 papers), Quantum and electron transport phenomena (9 papers), Cold Atom Physics and Bose-Einstein Condensates (8 papers), Quantum Computing Algorithms and Architecture (6 papers) and Opinion Dynamics and Social Influence (6 papers). The work is most often cited by research in Condensed Matter Physics (876 citations), Atomic and Molecular Physics, and Optics (1.8k citations), Statistical and Nonlinear Physics (668 citations), Computational Mathematics (18 citations) and Artificial Intelligence (703 citations). Arnab Das has collaborated with scholars based in India, Germany and Italy. Frequent co-authors include Bikas K. Chakrabarti, Roderich Moessner, Achilleas Lazarides, P. Mandal, A. Poddar, B. Ghosh, Diptiman Sen, Wojciech H. Zurek, Joydeb Mandal and K. Sengupta. Their work appears in journals such as Physical review. B, Condensed matter, Physica C Superconductivity, Physical Review B, Journal of Physics Condensed Matter and Physical review. B..

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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