Dibyendu Mandal
- Statistical and Nonlinear Physics top 1%
- Atomic and Molecular Physics, and Optics top 10%
- Cognitive Neuroscience top 10%
- Condensed Matter Physics top 10%
- Artificial Intelligence
- Co-authors
- Christopher JarzynskiKatherine KlymkoMichael R. DeWeeseH. T. QuanJames P. CrutchfieldZhiyue LuKranthi K. MandadapuShi-Fan Chen
- Topics
- Advanced Thermodynamics and Statistical Mechanics (11 papers)Neural dynamics and brain function (4 papers)Quantum Electrodynamics and Casimir Effect (4 papers)
- Cited by
- Statistical and Nonlinear PhysicsCondensed Matter PhysicsAtomic and Molecular Physics, and Optics
- Journals
- Proceedings of the National Academy of SciencesPhysical Review LettersThe Journal of Chemical Physics
- Partner nations
- United StatesChina
In The Last Decade
Dibyendu Mandal
14 papers receiving 574 citations
Peers
Comparison fields: 5 of 43
- Statistical and Nonlinear Physics 538
- Atomic and Molecular Physics, and Optics 255
- Cognitive Neuroscience 141
- Condensed Matter Physics 101
- Artificial Intelligence 90
Countries citing papers authored by Dibyendu Mandal
This map shows the geographic impact of Dibyendu Mandal'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 Dibyendu Mandal with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dibyendu Mandal more than expected).
Fields of papers citing papers by Dibyendu Mandal
This network shows the impact of papers produced by Dibyendu Mandal. 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 Dibyendu Mandal. The network helps show where Dibyendu Mandal may publish in the future.
Co-authorship network of co-authors of Dibyendu Mandal
This figure shows the co-authorship network connecting the top 25 collaborators of Dibyendu Mandal. A scholar is included among the top collaborators of Dibyendu Mandal 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 Dibyendu Mandal. Dibyendu Mandal is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 8 | |
| 2 | 41 | |
| 3 | 111 | |
| 4 | 22 | |
| 5 | 14 | |
| 6 | 14 | |
| 7 | 2 | |
| 8 | 50 | |
| 9 | 28 | |
| 10 | 93 | |
| 11 | 12 | |
| 12 | 4 | |
| 13 | 6 | |
| 14 | 182 |
About Dibyendu Mandal
Dibyendu Mandal is a scholar working on Statistical and Nonlinear Physics, Cognitive Neuroscience and Atomic and Molecular Physics, and Optics, having authored 14 papers that have together received 587 indexed citations. Recurring topics across this work include Advanced Thermodynamics and Statistical Mechanics (11 papers), Neural dynamics and brain function (4 papers) and Quantum Electrodynamics and Casimir Effect (4 papers). The work is most often cited by research in Statistical and Nonlinear Physics (538 citations), Condensed Matter Physics (101 citations) and Atomic and Molecular Physics, and Optics (255 citations). Dibyendu Mandal has collaborated with scholars based in United States and China. Frequent co-authors include Christopher Jarzynski, Katherine Klymko, Michael R. DeWeese, H. T. Quan, James P. Crutchfield, Zhiyue Lu, Kranthi K. Mandadapu, Shi-Fan Chen, Nikolai A. Sinitsyn and Vladimir Chernyak. Their work appears in journals such as Proceedings of the National Academy of Sciences, Physical Review Letters and The Journal of Chemical Physics.
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.