Chitra Rangan

729 citations
35 papers · 523 · h-index 12

Impact in

Papers in

Chitra Rangan

32 papers receiving 507 citations

Peers

Chitra Rangan
Comparison fields: 5 of 87
  • Modeling and Simulation 52
  • Numerical Analysis 57
  • Atomic and Molecular Physics, and Optics 261
  • Statistical and Nonlinear Physics 83
  • Artificial Intelligence 113
Replace A. Horzela with:
A. Horzela Poland
Yusaku Yamamoto Japan
Fengli Yan China
Dexuan Xie United States
Wenhua Hai China
Changbo Chen China
Kyu-Hwang Yeon South Korea
R. S. Hijjawi Jordan
Takayoshi Mori Japan
Zhiming Chen China
Chitra Rangan relative to A. Horzela Poland A. Horzela's profile →
Citations per field
00.5×3.3×
A. Horzela · 1×
Citations per year

Countries citing papers authored by Chitra Rangan

Since Specialization
Citations

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

Fields of papers citing papers by Chitra Rangan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 35 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200386
2 200983
3 200157
4 201044
5 200138
6 200427
7 200827
8 200614
9 200314
10 201013
11 201113
12 200011
13
Parallel Algorithms on Interval Graphs.
19909
14 20139
15 20049
16 20179
17 20057
18 20007
19 19997
20 20016

About Chitra Rangan

Chitra Rangan is a scholar working on Atomic and Molecular Physics, and Optics, Artificial Intelligence, Statistical and Nonlinear Physics, Electrical and Electronic Engineering and Computational Theory and Mathematics, having authored 35 papers that have together received 523 indexed citations. Recurring topics across this work include Quantum Information and Cryptography (13 papers), Laser-Matter Interactions and Applications (11 papers), Quantum chaos and dynamical systems (6 papers), Plasmonic and Surface Plasmon Research (4 papers), Cold Atom Physics and Bose-Einstein Condensates (4 papers), Advanced Graph Theory Research (4 papers), Spectroscopy and Quantum Chemical Studies (4 papers) and Quantum Computing Algorithms and Architecture (3 papers). The work is most often cited by research in Modeling and Simulation (52 citations), Numerical Analysis (57 citations), Atomic and Molecular Physics, and Optics (261 citations), Statistical and Nonlinear Physics (83 citations) and Artificial Intelligence (113 citations). Chitra Rangan has collaborated with scholars based in United States, Canada and Germany. Frequent co-authors include P. H. Bucksbaum, Anthony M. Bloch, John P. Boyd, Silvia Mittler, Roger W. Brockett, Bülent Mutus, Caroline Hamm, Jaewook Ahn, D. N. Hutchinson and A. Rau. Their work appears in journals such as Physical Review A, Physical review. A, IEEE Transactions on Automatic Control, Physical Review Letters and Organic & Biomolecular Chemistry.

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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