Krishna Rajan
- Materials Chemistry top 5%
- Electrical and Electronic Engineering top 10%
- Biomedical Engineering top 10%
- Mechanical Engineering top 5%
- Atomic and Molecular Physics, and Optics top 10%
- Co-authors
- Scott BroderickP. Ch. SahuMohammad YousufIchiro TakeuchiKlaus StoeweBret J. ChisholmRadislav A. PotyrailoHubert Lam
- Topics
- Machine Learning in Materials Science (32 papers)X-ray Diffraction in Crystallography (16 papers)Rare-earth and actinide compounds (15 papers)
- Partner nations
- United StatesIndiaJapan
In The Last Decade
Krishna Rajan
136 papers receiving 2.7k citations
Peers
Comparison fields: 5 of 150
- Materials Chemistry 1.4k
- Electrical and Electronic Engineering 493
- Biomedical Engineering 425
- Mechanical Engineering 415
- Atomic and Molecular Physics, and Optics 361
Countries citing papers authored by Krishna Rajan
This map shows the geographic impact of Krishna Rajan'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 Krishna Rajan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Krishna Rajan more than expected).
Fields of papers citing papers by Krishna Rajan
This network shows the impact of papers produced by Krishna Rajan. 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 Krishna Rajan. The network helps show where Krishna Rajan may publish in the future.
Co-authorship network of co-authors of Krishna Rajan
This figure shows the co-authorship network connecting the top 25 collaborators of Krishna Rajan. A scholar is included among the top collaborators of Krishna Rajan 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 Krishna Rajan. Krishna Rajan 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 | 6 | |
| 3 | 2 | |
| 4 | 8 | |
| 5 | 21 | |
| 6 | 27 | |
| 7 | 25 | |
| 8 | 9 | |
| 9 | Informatics for Materials Science and Engineering: Data-Driven Discovery for Accelerated Experimentation and Application | 51 |
| 10 | 64 | |
| 11 | 115 | |
| 12 | Feeding deterrence activity of Adhatoda vasica L. against Spodoptera litura (Fab.). | 6 |
| 13 | 56 | |
| 14 | 1 | |
| 15 | 2 | |
| 16 | 2 | |
| 17 | 1 | |
| 18 | 1 | |
| 19 | 1 | |
| 20 | 14 |
About Krishna Rajan
Krishna Rajan is a scholar working on Condensed Matter Physics, Structural Biology and Metals and Alloys, having authored 141 papers that have together received 2.8k indexed citations. Recurring topics across this work include Machine Learning in Materials Science (32 papers), X-ray Diffraction in Crystallography (16 papers) and Rare-earth and actinide compounds (15 papers). The work is most often cited by research in Metals and Alloys (83 citations), Materials Chemistry (1.4k citations) and Condensed Matter Physics (190 citations). Krishna Rajan has collaborated with scholars based in United States, India and Japan. Frequent co-authors include Scott Broderick, P. Ch. Sahu, Mohammad Yousuf, Ichiro Takeuchi, Klaus Stoewe, Bret J. Chisholm, Radislav A. Potyrailo, Hubert Lam, N.V. Chandra Shekar and Michael J. Wannemuehler. Their work appears in journals such as Physical Review Letters, Advanced Materials 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.