Priya L. Donti
- Electrical and Electronic Engineering
- Artificial Intelligence
- Renewable Energy, Sustainability and the Environment
- Control and Systems Engineering
- Environmental Engineering
- Co-authors
- J. Zico KolterLynn H. KaackDavid RolnickEmma StrubellGeorge KamiyaFelix CreutzigBrandon AmosRui Yang
- Topics
- Energy, Environment, and Transportation Policies (3 papers)Energy Load and Power Forecasting (3 papers)Optimal Power Flow Distribution (2 papers)
- Cited by
- Health InformaticsRenewable Energy, Sustainability and the EnvironmentComputational Mathematics
- Partner nations
- United StatesSwitzerlandGermany
In The Last Decade
Priya L. Donti
11 papers receiving 418 citations
Hit Papers
Peers
Comparison fields: 5 of 89
- Electrical and Electronic Engineering 156
- Artificial Intelligence 69
- Renewable Energy, Sustainability and the Environment 58
- Control and Systems Engineering 50
- Environmental Engineering 45
Countries citing papers authored by Priya L. Donti
This map shows the geographic impact of Priya L. Donti'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 Priya L. Donti with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Priya L. Donti more than expected).
Fields of papers citing papers by Priya L. Donti
This network shows the impact of papers produced by Priya L. Donti. 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 Priya L. Donti. The network helps show where Priya L. Donti may publish in the future.
Co-authorship network of co-authors of Priya L. Donti
This figure shows the co-authorship network connecting the top 25 collaborators of Priya L. Donti. A scholar is included among the top collaborators of Priya L. Donti 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 Priya L. Donti. Priya L. Donti is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | Aligning artificial intelligence with climate change mitigationbreakdown → | 238 |
| 3 | 5 | |
| 4 | Artificial Intelligence and Climate Change: Opportunities, considerations, and policy levers to align AI with climate change goals | 4 |
| 5 | 7 | |
| 6 | 58 | |
| 7 | 1 | |
| 8 | 64 | |
| 9 | 16 | |
| 10 | Task-based End-to-end Model Learning. | 2 |
| 11 | 41 |
About Priya L. Donti
Priya L. Donti is a scholar working on Renewable Energy, Sustainability and the Environment, Management Science and Operations Research and Environmental Engineering, having authored 11 papers that have together received 437 indexed citations. Recurring topics across this work include Energy, Environment, and Transportation Policies (3 papers), Energy Load and Power Forecasting (3 papers) and Optimal Power Flow Distribution (2 papers). The work is most often cited by research in Health Informatics (10 citations), Renewable Energy, Sustainability and the Environment (58 citations) and Computational Mathematics (2 citations). Priya L. Donti has collaborated with scholars based in United States, Switzerland and Germany. Frequent co-authors include J. Zico Kolter, Lynn H. Kaack, David Rolnick, Emma Strubell, George Kamiya, Felix Creutzig, Brandon Amos, Rui Yang, Yingchen Zhang and Andrey Bernstein. Their work appears in journals such as Environmental Science & Technology, Nature Climate Change and IEEE Transactions on Smart Grid.
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.