Aravind Krishnamoorthy
- Materials Chemistry top 5%
- Electrical and Electronic Engineering top 10%
- Biomedical Engineering
- Atomic and Molecular Physics, and Optics top 10%
- Renewable Energy, Sustainability and the Environment top 10%
- Co-authors
- Priya VashishtaAiichiro NakanoRajiv K. KaliaFuyuki ShimojoBilge YildizF. William HerbertKrystyn J. Van VlietPulickel M. Ajayan
- Topics
- 2D Materials and Applications (32 papers)Machine Learning in Materials Science (16 papers)MXene and MAX Phase Materials (16 papers)
- Cited by
- Materials ChemistryRenewable Energy, Sustainability and the EnvironmentElectrical and Electronic Engineering
- Partner nations
- United StatesJapanIndia
In The Last Decade
Aravind Krishnamoorthy
74 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 69
- Materials Chemistry 1.0k
- Electrical and Electronic Engineering 531
- Biomedical Engineering 247
- Atomic and Molecular Physics, and Optics 194
- Renewable Energy, Sustainability and the Environment 192
Countries citing papers authored by Aravind Krishnamoorthy
This map shows the geographic impact of Aravind Krishnamoorthy'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 Aravind Krishnamoorthy with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Aravind Krishnamoorthy more than expected).
Fields of papers citing papers by Aravind Krishnamoorthy
This network shows the impact of papers produced by Aravind Krishnamoorthy. 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 Aravind Krishnamoorthy. The network helps show where Aravind Krishnamoorthy may publish in the future.
Co-authorship network of co-authors of Aravind Krishnamoorthy
This figure shows the co-authorship network connecting the top 25 collaborators of Aravind Krishnamoorthy. A scholar is included among the top collaborators of Aravind Krishnamoorthy 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 Aravind Krishnamoorthy. Aravind Krishnamoorthy is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 2 | |
| 3 | 1 | |
| 4 | 6 | |
| 5 | 6 | |
| 6 | 5 | |
| 7 | 17 | |
| 8 | 5 | |
| 9 | 16 | |
| 10 | 15 | |
| 11 | 24 | |
| 12 | 12 | |
| 13 | 19 | |
| 14 | 5 | |
| 15 | 47 | |
| 16 | 23 | |
| 17 | 60 | |
| 18 | 38 | |
| 19 | 34 | |
| 20 | 54 |
About Aravind Krishnamoorthy
Aravind Krishnamoorthy is a scholar working on Structural Biology, Materials Chemistry and Electrical and Electronic Engineering, having authored 76 papers that have together received 1.4k indexed citations. Recurring topics across this work include 2D Materials and Applications (32 papers), Machine Learning in Materials Science (16 papers) and MXene and MAX Phase Materials (16 papers). The work is most often cited by research in Materials Chemistry (1.0k citations), Renewable Energy, Sustainability and the Environment (192 citations) and Electrical and Electronic Engineering (531 citations). Aravind Krishnamoorthy has collaborated with scholars based in United States, Japan and India. Frequent co-authors include Priya Vashishta, Aiichiro Nakano, Rajiv K. Kalia, Fuyuki Shimojo, Bilge Yildiz, F. William Herbert, Krystyn J. Van Vliet, Pulickel M. Ajayan, Pankaj Rajak and Chandra Sekhar Tiwary. Their work appears in journals such as Physical Review Letters, Advanced Materials and Nature Communications.
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.