Arijeet Pal
- Atomic and Molecular Physics, and Optics top 1%
- Statistical and Nonlinear Physics top 0.5%
- Condensed Matter Physics top 2%
- Artificial Intelligence top 5%
- Geometry and Topology top 5%
- Co-authors
- David A. HuseVadim OganesyanChris R. LaumannAntonello ScardicchioRahul NandkishoreS. L. SondhiJonas RichterMarcin Szyniszewski
- Topics
- Quantum many-body systems (29 papers)Quantum and electron transport phenomena (18 papers)Quantum Computing Algorithms and Architecture (10 papers)
- Cited by
- Computational MathematicsStatistical and Nonlinear PhysicsAtomic and Molecular Physics, and Optics
- Partner nations
- United KingdomUnited StatesItaly
In The Last Decade
Arijeet Pal
36 papers receiving 2.2k citations
Hit Papers
Peers
Comparison fields: 5 of 51
- Atomic and Molecular Physics, and Optics 2.2k
- Statistical and Nonlinear Physics 937
- Condensed Matter Physics 750
- Artificial Intelligence 452
- Geometry and Topology 73
Countries citing papers authored by Arijeet Pal
This map shows the geographic impact of Arijeet Pal'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 Arijeet Pal with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Arijeet Pal more than expected).
Fields of papers citing papers by Arijeet Pal
This network shows the impact of papers produced by Arijeet Pal. 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 Arijeet Pal. The network helps show where Arijeet Pal may publish in the future.
Co-authorship network of co-authors of Arijeet Pal
This figure shows the co-authorship network connecting the top 25 collaborators of Arijeet Pal. A scholar is included among the top collaborators of Arijeet Pal 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 Arijeet Pal. Arijeet Pal is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 11 | |
| 3 | 6 | |
| 4 | 3 | |
| 5 | 1 | |
| 6 | 5 | |
| 7 | 38 | |
| 8 | 8 | |
| 9 | 23 | |
| 10 | 2 | |
| 11 | Measurement-induced criticality and entanglement clusters: A study of one-dimensional and two-dimensional Clifford circuits | 59 |
| 12 | 33 | |
| 13 | Behaviour of l-bits Near the Many-Body Localization Transition | 2 |
| 14 | 35 | |
| 15 | 1 | |
| 16 | 48 | |
| 17 | 40 | |
| 18 | 56 | |
| 19 | 107 | |
| 20 | 0 |
About Arijeet Pal
Arijeet Pal is a scholar working on Computational Mathematics, Atomic and Molecular Physics, and Optics and Statistical and Nonlinear Physics, having authored 37 papers that have together received 2.3k indexed citations. Recurring topics across this work include Quantum many-body systems (29 papers), Quantum and electron transport phenomena (18 papers) and Quantum Computing Algorithms and Architecture (10 papers). The work is most often cited by research in Computational Mathematics (65 citations), Statistical and Nonlinear Physics (937 citations) and Atomic and Molecular Physics, and Optics (2.2k citations). Arijeet Pal has collaborated with scholars based in United Kingdom, United States and Italy. Frequent co-authors include David A. Huse, Vadim Oganesyan, Chris R. Laumann, Antonello Scardicchio, Rahul Nandkishore, S. L. Sondhi, Jonas Richter, Marcin Szyniszewski, Hitesh J. Changlani and Kyungmin Lee. Their work appears in journals such as Physical Review Letters, Nature Communications 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.