Sai Govind Hari Kumar
- Materials Chemistry top 10%
- Electrical and Electronic Engineering top 10%
- Renewable Energy, Sustainability and the Environment top 10%
- Automotive Engineering top 5%
- Inorganic Chemistry top 10%
- Co-authors
- Zhenpeng YaoMarnix WagemakerQidi WangSwapna GanapathyChenglong ZhaoXuedong BaiJianlin WangAlán Aspuru‐Guzik
- Topics
- Machine Learning in Materials Science (3 papers)Catalytic Processes in Materials Science (3 papers)Catalysis and Oxidation Reactions (3 papers)
- Partner nations
- CanadaChinaNetherlands
In The Last Decade
Sai Govind Hari Kumar
8 papers receiving 845 citations
Hit Papers
Peers
Comparison fields: 5 of 67
- Materials Chemistry 401
- Electrical and Electronic Engineering 362
- Renewable Energy, Sustainability and the Environment 168
- Automotive Engineering 143
- Inorganic Chemistry 139
Countries citing papers authored by Sai Govind Hari Kumar
This map shows the geographic impact of Sai Govind Hari Kumar'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 Sai Govind Hari Kumar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sai Govind Hari Kumar more than expected).
Fields of papers citing papers by Sai Govind Hari Kumar
This network shows the impact of papers produced by Sai Govind Hari Kumar. 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 Sai Govind Hari Kumar. The network helps show where Sai Govind Hari Kumar may publish in the future.
Co-authorship network of co-authors of Sai Govind Hari Kumar
This figure shows the co-authorship network connecting the top 25 collaborators of Sai Govind Hari Kumar. A scholar is included among the top collaborators of Sai Govind Hari Kumar 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 Sai Govind Hari Kumar. Sai Govind Hari Kumar 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 | 8 | |
| 3 | 19 | |
| 4 | High entropy liquid electrolytes for lithium batteriesbreakdown → | 211 |
| 5 | Entropy‐Driven Liquid Electrolytes for Lithium Batteriesbreakdown → | 138 |
| 6 | Inverse design of nanoporous crystalline reticular materials with deep generative modelsbreakdown → | 275 |
| 7 | 15 | |
| 8 | 140 | |
| 9 | 54 |
About Sai Govind Hari Kumar
Sai Govind Hari Kumar is a scholar working on Catalysis, Renewable Energy, Sustainability and the Environment and Materials Chemistry, having authored 9 papers that have together received 860 indexed citations. Recurring topics across this work include Machine Learning in Materials Science (3 papers), Catalytic Processes in Materials Science (3 papers) and Catalysis and Oxidation Reactions (3 papers). The work is most often cited by research in Automotive Engineering (143 citations), Catalysis (75 citations) and Process Chemistry and Technology (30 citations). Sai Govind Hari Kumar has collaborated with scholars based in Canada, China and Netherlands. Frequent co-authors include Zhenpeng Yao, Marnix Wagemaker, Qidi Wang, Swapna Ganapathy, Chenglong Zhao, Xuedong Bai, Jianlin Wang, Alán Aspuru‐Guzik, Benjamín Sánchez-Lengeling and Tom K. Woo. Their work appears in journals such as Advanced Materials, Nature Communications and Chemical 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.