Arpit Dua

673 citations
23 papers · 377 · h-index 12

Impact in

Papers in

Arpit Dua

23 papers receiving 375 citations

Peers

Arpit Dua
Comparison fields: 5 of 25
  • Condensed Matter Physics 131
  • Atomic and Molecular Physics, and Optics 294
  • Geometry and Topology 43
  • Artificial Intelligence 144
  • Computational Theory and Mathematics 48
Replace Guanyu Zhu with:
Guanyu Zhu United States
Mohsin Iqbal Germany
David T. Stephen United States
David Aasen United States
S. L. Sondhi United States
Henrik Dreyer Germany
Matthieu Vanicat France
Kasper Duivenvoorden Germany
Davide Vodola Italy
Xinsheng Tan China
Arpit Dua relative to Guanyu Zhu United States Guanyu Zhu's profile →
Citations per field
00.5×2.5×
Guanyu Zhu · 1×
Citations per year

Countries citing papers authored by Arpit Dua

Since Specialization
Citations

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

Fields of papers citing papers by Arpit Dua

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201945
2 202231
3 202031
4 201928
5 202228
6 202325
7 201923
8 202422
9 202421
10 202220
11 201518
12 202414
13 202311
14 201610
15 202110
16 20238
17 20237
18 20236
19 20245
20 20245

About Arpit Dua

Arpit Dua is a scholar working on Atomic and Molecular Physics, and Optics, Artificial Intelligence, Condensed Matter Physics, Computational Theory and Mathematics and Geometry and Topology, having authored 23 papers that have together received 377 indexed citations. Recurring topics across this work include Quantum many-body systems (15 papers), Quantum and electron transport phenomena (12 papers), Quantum Computing Algorithms and Architecture (7 papers), Topological Materials and Phenomena (7 papers), Physics of Superconductivity and Magnetism (6 papers), Theoretical and Computational Physics (4 papers), Algebraic structures and combinatorial models (3 papers) and Cellular Automata and Applications (3 papers). The work is most often cited by research in Condensed Matter Physics (131 citations), Atomic and Molecular Physics, and Optics (294 citations), Geometry and Topology (43 citations), Artificial Intelligence (144 citations) and Computational Theory and Mathematics (48 citations). Arpit Dua has collaborated with scholars based in United States, Australia and Canada. Frequent co-authors include Dominic J. Williamson, Meng Cheng, Nathanan Tantivasadakarn, Wilbur Shirley, Liang Jiang, Yu-An Chen, David T. Stephen, Huaixiu Zheng, Guanyu Zhu and Tomas Jochym-O’Connor. Their work appears in journals such as PRX Quantum, Physical review. B., SciPost Physics, Quantum 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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