Vinay I. Hegde
- Materials Chemistry top 2%
- Electrical and Electronic Engineering top 5%
- Electronic, Optical and Magnetic Materials top 5%
- Mechanical Engineering top 5%
- Renewable Energy, Sustainability and the Environment top 10%
- Co-authors
- Chris WolvertonScott KirklinMuratahan AykolJames E. SaalJiangang HeSoo KimShiqiang HaoMaximilian Amsler
- Topics
- Machine Learning in Materials Science (13 papers)Advancements in Battery Materials (8 papers)Heusler alloys: electronic and magnetic properties (7 papers)
- Partner nations
- United StatesIndiaIran
In The Last Decade
Vinay I. Hegde
52 papers receiving 2.5k citations
Peers
Comparison fields: 5 of 92
- Materials Chemistry 1.9k
- Electrical and Electronic Engineering 785
- Electronic, Optical and Magnetic Materials 737
- Mechanical Engineering 439
- Renewable Energy, Sustainability and the Environment 194
Countries citing papers authored by Vinay I. Hegde
This map shows the geographic impact of Vinay I. Hegde'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 Vinay I. Hegde with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Vinay I. Hegde more than expected).
Fields of papers citing papers by Vinay I. Hegde
This network shows the impact of papers produced by Vinay I. Hegde. 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 Vinay I. Hegde. The network helps show where Vinay I. Hegde may publish in the future.
Co-authorship network of co-authors of Vinay I. Hegde
This figure shows the co-authorship network connecting the top 25 collaborators of Vinay I. Hegde. A scholar is included among the top collaborators of Vinay I. Hegde 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 Vinay I. Hegde. Vinay I. Hegde is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 6 | |
| 2 | 3 | |
| 3 | 4 | |
| 4 | 11 | |
| 5 | 20 | |
| 6 | 1 | |
| 7 | 1 | |
| 8 | 20 | |
| 9 | 30 | |
| 10 | 12 | |
| 11 | 26 | |
| 12 | 30 | |
| 13 | 118 | |
| 14 | 18 | |
| 15 | 73 | |
| 16 | 35 | |
| 17 | 47 | |
| 18 | 31 | |
| 19 | 92 | |
| 20 | Accurate Models of Formation Enthalpy Created using Machine Learning and Voronoi Tessellations | 1 |
About Vinay I. Hegde
Vinay I. Hegde is a scholar working on Materials Chemistry, Electronic, Optical and Magnetic Materials and Inorganic Chemistry, having authored 53 papers that have together received 2.6k indexed citations. Recurring topics across this work include Machine Learning in Materials Science (13 papers), Advancements in Battery Materials (8 papers) and Heusler alloys: electronic and magnetic properties (7 papers). The work is most often cited by research in Materials Chemistry (1.9k citations), Electronic, Optical and Magnetic Materials (737 citations) and Catalysis (97 citations). Vinay I. Hegde has collaborated with scholars based in United States, India and Iran. Frequent co-authors include Chris Wolverton, Scott Kirklin, Muratahan Aykol, James E. Saal, Jiangang He, Soo Kim, Shiqiang Hao, Maximilian Amsler, Alok Choudhary and Ankit Agrawal. Their work appears in journals such as Physical Review Letters, Nature Communications and Energy & Environmental Science.
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.