David Rolnick
Impact in
- Artificial Intelligence top 10%
- Domain Adaptation and Few-Shot Learning
- Adversarial Robustness in Machine Learning
Papers in
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- Neural Networks and Applications 5
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- Advanced Graph Theory Research 4
- Co-authors
- Lynn H. Kaack (4 shared papers)Felix Creutzig (2 shared papers)Priya L. Donti (3 shared papers)Emma Strubell (2 shared papers)George Kamiya (1 shared paper)Boris Hanin (1 shared paper)Timothy Lillicrap (1 shared paper)Arun Ahuja (1 shared paper)
- Journals
- The Electronic Journal of Combinatorics (2 papers)Discrete Mathematics (2 papers)Discrete & Computational Geometry (2 papers)One Earth (1 paper)Nature Climate Change (1 paper)
- Partner nations
- United StatesCanadaGermany
In The Last Decade
David Rolnick
27 papers receiving 478 citations
David Rolnick's Hit Papers
Peers
Comparison fields: 5 of 110
- Health Informatics 10
- Artificial Intelligence 125
- Safety Research 31
- Environmental Engineering 46
- Renewable Energy, Sustainability and the Environment 48
Countries citing papers authored by David Rolnick
This map shows the geographic impact of David Rolnick'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 David Rolnick with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David Rolnick more than expected).
Fields of papers citing papers by David Rolnick
This network shows the impact of papers produced by David Rolnick. 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 David Rolnick. The network helps show where David Rolnick may publish in the future.
Co-authors
The 25 scholars most cited alongside David Rolnick, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 32 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Aligning artificial intelligence with climate change mitigation Hit paper breakdown → | 2022 | 263 |
| 2 | Digitalization and the Anthropocene Hit paper breakdown → | 2022 | 57 |
| 3 | Experience Replay for Continual Learning | 2019 | 54 |
| 4 | Deep ReLU Networks Have Surprisingly Few Activation Patterns | 2019 | 31 |
| 5 | 2025 | 13 | |
| 6 | 2023 | 12 | |
| 7 | The power of deeper networks for expressing natural functions | 2017 | 12 |
| 8 | 2021 | 7 | |
| 9 | 2017 | 7 | |
| 10 | 2022 | 6 | |
| 11 | Reverse-engineering deep ReLU networks | 2020 | 6 |
| 12 | 2019 | 6 | |
| 13 | Artificial Intelligence and Climate Change: Opportunities, considerations, and policy levers to align AI with climate change goals | 2021 | 4 |
| 14 | 2017 | 4 | |
| 15 | 2025 | 3 | |
| 16 | 2021 | 3 | |
| 17 | 2025 | 2 | |
| 18 | Markov Transitions between Attractor States in a Recurrent Neural Network. | 2017 | 2 |
| 19 | 2011 | 2 | |
| 20 | 2017 | 2 |
About David Rolnick
David Rolnick is a scholar working on Artificial Intelligence, Computational Theory and Mathematics, Environmental Engineering, Electrical and Electronic Engineering and Ecology, having authored 32 papers that have together received 503 indexed citations. Recurring topics across this work include Neural Networks and Applications (5 papers), Advanced Graph Theory Research (4 papers), Computational Geometry and Mesh Generation (3 papers), Remote Sensing in Agriculture (3 papers), Species Distribution and Climate Change (3 papers), Neural dynamics and brain function (3 papers), Remote Sensing and LiDAR Applications (3 papers) and Limits and Structures in Graph Theory (3 papers). The work is most often cited by research in Health Informatics (10 citations), Artificial Intelligence (125 citations), Safety Research (31 citations), Environmental Engineering (46 citations) and Renewable Energy, Sustainability and the Environment (48 citations). David Rolnick has collaborated with scholars based in United States, Canada and Germany. Frequent co-authors include Lynn H. Kaack, Felix Creutzig, Priya L. Donti, Emma Strubell, George Kamiya, Boris Hanin, Timothy Lillicrap, Arun Ahuja, Jonathan Schwarz and Max Tegmark. Their work appears in journals such as The Electronic Journal of Combinatorics, Discrete Mathematics, Discrete & Computational Geometry, One Earth and Nature Climate Change.
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.