Anushya Chandran

3.2k citations
56 papers · 2.1k indexed · 1 hit paper · h-index 28
Topics
Quantum many-body systems (45 papers)Quantum and electron transport phenomena (24 papers)Physics of Superconductivity and Magnetism (17 papers)

In The Last Decade

Anushya Chandran

51 papers receiving 2.0k citations

Hit Papers

Quantum Many-Body Scars: A Quasiparticle Perspective202220262023202420224080120

Peers

Anushya Chandran
Comparison fields: 5 of 47
  • Atomic and Molecular Physics, and Optics 2.0k
  • Condensed Matter Physics 696
  • Statistical and Nonlinear Physics 689
  • Artificial Intelligence 400
  • Nuclear and High Energy Physics 94
Replace Masudul Haque with:
Masudul Haque Germany
Wen Wei Ho United States
Lev Vidmar Slovenia
Andrea De Luca France
Vedika Khemani United States
Chris R. Laumann United States
David J. Luitz Germany
Jérôme Dubail France
Sagar Vijay United States
Arijeet Pal United Kingdom
Anushya Chandran relative to Masudul Haque Germany Masudul Haque's profile →
Citations per field
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Masudul Haque · 1×
Citations per year

Countries citing papers authored by Anushya Chandran

Since Specialization
Citations

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

Fields of papers citing papers by Anushya Chandran

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Anushya Chandran

This figure shows the co-authorship network connecting the top 25 collaborators of Anushya Chandran. A scholar is included among the top collaborators of Anushya Chandran 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 Anushya Chandran. Anushya Chandran 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
#WorkIndexed citations
1 0
2 2
3 7
4 5
5 5
6 7
7 4
8 60
9 7
10 38
11 14
12 29
13 29
14 48
15 34
16 14
17 77
18 22
19 158
20 33

About Anushya Chandran

Anushya Chandran is a scholar working on Computational Mathematics, Condensed Matter Physics and Atomic and Molecular Physics, and Optics, having authored 56 papers that have together received 2.1k indexed citations. Recurring topics across this work include Quantum many-body systems (45 papers), Quantum and electron transport phenomena (24 papers) and Physics of Superconductivity and Magnetism (17 papers). The work is most often cited by research in Computational Mathematics (45 citations), Atomic and Molecular Physics, and Optics (2.0k citations) and Condensed Matter Physics (696 citations). Anushya Chandran has collaborated with scholars based in United States, Canada and Germany. Frequent co-authors include Chris R. Laumann, S. L. Sondhi, Philip J. D. Crowley, Vedika Khemani, Vedika Khemani, Guifré Vidal, Dmitry A. Abanin, Steven S. Gubser, Nicolas Regnault and B. Andrei Bernevig. Their work appears in journals such as Proceedings of the National Academy of Sciences, Physical Review Letters 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.

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2026