Krishnanand Mallayya
- Atomic and Molecular Physics, and Optics top 10%
- Statistical and Nonlinear Physics top 5%
- Condensed Matter Physics top 10%
- Materials Chemistry
- Artificial Intelligence
- Co-authors
- Marcos RigolSarang GopalakrishnanWil KaoBenjamin LevYijun TangLev VidmarEun-Ah KimLinus Kautzsch
- Topics
- Quantum many-body systems (6 papers)Advanced Condensed Matter Physics (5 papers)Physics of Superconductivity and Magnetism (3 papers)
- Cited by
- Computational MathematicsStatistical and Nonlinear PhysicsAtomic and Molecular Physics, and Optics
- Partner nations
- United StatesSouth KoreaIndia
In The Last Decade
Krishnanand Mallayya
12 papers receiving 431 citations
Peers
Comparison fields: 5 of 34
- Atomic and Molecular Physics, and Optics 374
- Statistical and Nonlinear Physics 170
- Condensed Matter Physics 136
- Materials Chemistry 44
- Artificial Intelligence 39
Countries citing papers authored by Krishnanand Mallayya
This map shows the geographic impact of Krishnanand Mallayya'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 Krishnanand Mallayya with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Krishnanand Mallayya more than expected).
Fields of papers citing papers by Krishnanand Mallayya
This network shows the impact of papers produced by Krishnanand Mallayya. 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 Krishnanand Mallayya. The network helps show where Krishnanand Mallayya may publish in the future.
Co-authorship network of co-authors of Krishnanand Mallayya
This figure shows the co-authorship network connecting the top 25 collaborators of Krishnanand Mallayya. A scholar is included among the top collaborators of Krishnanand Mallayya 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 Krishnanand Mallayya. Krishnanand Mallayya is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 3 | |
| 3 | 4 | |
| 4 | 8 | |
| 5 | 22 | |
| 6 | 45 | |
| 7 | 27 | |
| 8 | 75 | |
| 9 | 40 | |
| 10 | 30 | |
| 11 | 159 | |
| 12 | 10 | |
| 13 | 13 |
About Krishnanand Mallayya
Krishnanand Mallayya is a scholar working on Computational Mathematics, Condensed Matter Physics and Atomic and Molecular Physics, and Optics, having authored 13 papers that have together received 436 indexed citations. Recurring topics across this work include Quantum many-body systems (6 papers), Advanced Condensed Matter Physics (5 papers) and Physics of Superconductivity and Magnetism (3 papers). The work is most often cited by research in Computational Mathematics (13 citations), Statistical and Nonlinear Physics (170 citations) and Atomic and Molecular Physics, and Optics (374 citations). Krishnanand Mallayya has collaborated with scholars based in United States, South Korea and India. Frequent co-authors include Marcos Rigol, Sarang Gopalakrishnan, Wil Kao, Benjamin Lev, Yijun Tang, Lev Vidmar, Eun-Ah Kim, Linus Kautzsch, Jacob P. C. Ruff and Ganesh Pokharel. Their work appears in journals such as Proceedings of the National Academy of Sciences, Physical Review Letters and Nature 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.