Raghunathan Ramakrishnan
- Materials Chemistry top 2%
- Computational Theory and Mathematics top 0.2%
- Molecular Biology top 10%
- Atomic and Molecular Physics, and Optics top 5%
- Physical and Theoretical Chemistry top 1%
- Co-authors
- O. Anatole von LilienfeldMatthias RuppPavlo O. DralAlexandre TkatchenkoKatja HansenFranziska BieglerKlaus‐Robert MüllerAaron Knoll
- Topics
- Advanced Chemical Physics Studies (16 papers)Machine Learning in Materials Science (13 papers)Computational Drug Discovery Methods (8 papers)
- Partner nations
- IndiaGermanySwitzerland
In The Last Decade
Raghunathan Ramakrishnan
33 papers receiving 3.0k citations
Hit Papers
Peers
Comparison fields: 5 of 95
- Materials Chemistry 2.5k
- Computational Theory and Mathematics 1.7k
- Molecular Biology 780
- Atomic and Molecular Physics, and Optics 535
- Physical and Theoretical Chemistry 380
Countries citing papers authored by Raghunathan Ramakrishnan
This map shows the geographic impact of Raghunathan Ramakrishnan'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 Raghunathan Ramakrishnan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Raghunathan Ramakrishnan more than expected).
Fields of papers citing papers by Raghunathan Ramakrishnan
This network shows the impact of papers produced by Raghunathan Ramakrishnan. 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 Raghunathan Ramakrishnan. The network helps show where Raghunathan Ramakrishnan may publish in the future.
Co-authorship network of co-authors of Raghunathan Ramakrishnan
This figure shows the co-authorship network connecting the top 25 collaborators of Raghunathan Ramakrishnan. A scholar is included among the top collaborators of Raghunathan Ramakrishnan 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 Raghunathan Ramakrishnan. Raghunathan Ramakrishnan 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 | 1 | |
| 3 | 3 | |
| 4 | 9 | |
| 5 | 2 | |
| 6 | 10 | |
| 7 | 13 | |
| 8 | 8 | |
| 9 | 1 | |
| 10 | 51 | |
| 11 | 33 | |
| 12 | 40 | |
| 13 | Machine Learning Predictions of Molecular Properties: Accurate Many-Body Potentials and Nonlocality in Chemical Spacebreakdown → | 585 |
| 14 | Big Data Meets Quantum Chemistry Approximations: The Δ-Machine Learning Approachbreakdown → | 638 |
| 15 | 156 | |
| 16 | Quantum chemistry structures and properties of 134 kilo moleculesbreakdown → | 1164 |
| 17 | 6 | |
| 18 | 9 | |
| 19 | 16 | |
| 20 | 1 |
About Raghunathan Ramakrishnan
Raghunathan Ramakrishnan is a scholar working on Physical and Theoretical Chemistry, Atomic and Molecular Physics, and Optics and Computational Theory and Mathematics, having authored 34 papers that have together received 3.1k indexed citations. Recurring topics across this work include Advanced Chemical Physics Studies (16 papers), Machine Learning in Materials Science (13 papers) and Computational Drug Discovery Methods (8 papers). The work is most often cited by research in Computational Theory and Mathematics (1.7k citations), Materials Chemistry (2.5k citations) and Physical and Theoretical Chemistry (380 citations). Raghunathan Ramakrishnan has collaborated with scholars based in India, Germany and Switzerland. Frequent co-authors include O. Anatole von Lilienfeld, Matthias Rupp, Pavlo O. Dral, Alexandre Tkatchenko, Katja Hansen, Franziska Biegler, Klaus‐Robert Müller, Aaron Knoll, Guntram Rauhut and Mathias Nest. Their work appears in journals such as The Journal of Chemical Physics, Chemical Communications and Physical Review A.
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.