Deepak Iyer
Impact in
- Health Informatics top 2%
- Artificial Intelligence in Healthcare and Education
- Computational Mathematics top 10%
Papers in
-
- Quantum many-body systems 10
- Cold Atom Physics and Bose-Einstein Condensates 9
- Quantum, superfluid, helium dynamics 3
-
- Theoretical and Computational Physics 3
- Physics of Superconductivity and Magnetism 3
- Co-authors
- Natan Andrei (5 shared papers)Marcos Rigol (7 shared papers)Liviu Iftode (2 shared papers)K. Srinivasan (1 shared paper)Faisal Sultan (1 shared paper)Lev Vidmar (1 shared paper)Sebastian Will (3 shared papers)Cristian Borcea (1 shared paper)
- Journals
- Physical Review Letters (2 papers)The Journal of Heart and Lung Transplantation (2 papers)Physical Review A (2 papers)Physical Review B (2 papers)Physical Review X (1 paper)
- Partner nations
- United StatesCanadaIndia
In The Last Decade
Deepak Iyer
24 papers receiving 545 citations
Peers
Comparison fields: 5 of 72
- Health Informatics 51
- Computational Mathematics 9
- Condensed Matter Physics 115
- Atomic and Molecular Physics, and Optics 269
- Statistical and Nonlinear Physics 91
Countries citing papers authored by Deepak Iyer
This map shows the geographic impact of Deepak Iyer'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 Deepak Iyer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Deepak Iyer more than expected).
Fields of papers citing papers by Deepak Iyer
This network shows the impact of papers produced by Deepak Iyer. 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 Deepak Iyer. The network helps show where Deepak Iyer may publish in the future.
Co-authors
The 25 scholars most cited alongside Deepak Iyer, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2023 | 78 | |
| 2 | 2003 | 78 | |
| 3 | 2012 | 71 | |
| 4 | 2003 | 54 | |
| 5 | 2013 | 51 | |
| 6 | 2017 | 47 | |
| 7 | 2015 | 36 | |
| 8 | 2022 | 30 | |
| 9 | To the Edge with China: Explorations in Network Performance | 2008 | 30 |
| 10 | 2015 | 26 | |
| 11 | 2015 | 17 | |
| 12 | 2015 | 12 | |
| 13 | 2014 | 11 | |
| 14 | 2014 | 5 | |
| 15 | 2023 | 4 | |
| 16 | 2024 | 3 | |
| 17 | 2024 | 2 | |
| 18 | 2024 | 2 | |
| 19 | 2023 | 2 | |
| 20 | 2016 | 2 |
About Deepak Iyer
Deepak Iyer is a scholar working on Atomic and Molecular Physics, and Optics, Condensed Matter Physics, Statistical and Nonlinear Physics, Surgery and Computational Theory and Mathematics, having authored 30 papers that have together received 565 indexed citations. Recurring topics across this work include Quantum many-body systems (10 papers), Cold Atom Physics and Bose-Einstein Condensates (9 papers), Computational Drug Discovery Methods (3 papers), Quantum, superfluid, helium dynamics (3 papers), Theoretical and Computational Physics (3 papers), Physics of Superconductivity and Magnetism (3 papers), Opinion Dynamics and Social Influence (3 papers) and Transplantation: Methods and Outcomes (2 papers). The work is most often cited by research in Health Informatics (51 citations), Computational Mathematics (9 citations), Condensed Matter Physics (115 citations), Atomic and Molecular Physics, and Optics (269 citations) and Statistical and Nonlinear Physics (91 citations). Deepak Iyer has collaborated with scholars based in United States, Canada and India. Frequent co-authors include Natan Andrei, Marcos Rigol, Liviu Iftode, K. Srinivasan, Faisal Sultan, Lev Vidmar, Sebastian Will, Cristian Borcea, Porlin Kang and Chris Chafe. Their work appears in journals such as Physical Review Letters, The Journal of Heart and Lung Transplantation, Physical Review A, Physical Review B and Physical Review X.
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.