Emma Strubell
- Health Informatics top 5%
- Artificial Intelligence top 5%
- Topic Modeling 24
- Natural Language Processing Techniques 18
- Explainable Artificial Intelligence (XAI) 4
- Speech and dialogue systems 3
- Machine Learning and Algorithms 3
- Safety Research top 5%
- Computer Science Applications top 10%
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- Multimodal Machine Learning Applications 6
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- Machine Learning in Materials Science 3
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- Green IT and Sustainability 3
- Co-authors
- Andrew McCallumAnanya GaneshAlexandra Sasha LuccioniLynn H. KaackPriya L. DontiDavid RolnickGeorge KamiyaFelix Creutzig
- Partner nations
- United StatesUnited KingdomGermany
In The Last Decade
Emma Strubell
34 papers receiving 1.1k citations
Hit Papers
Peers
Comparison fields: 5 of 132
- Health Informatics 39
- Artificial Intelligence 369
- Safety Research 76
- Computer Science Applications 33
- Computational Theory and Mathematics 89
Countries citing papers authored by Emma Strubell
This map shows the geographic impact of Emma Strubell'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 Emma Strubell with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Emma Strubell more than expected).
Fields of papers citing papers by Emma Strubell
This network shows the impact of papers produced by Emma Strubell. 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 Emma Strubell. The network helps show where Emma Strubell may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Emma Strubell, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2025 | 1 | |
| 3 | 2024 | 0 | |
| 4 | Power Hungry Processing: Watts Driving the Cost of AI Deployment?breakdown → | 2024 | 92 |
| 5 | 2024 | 0 | |
| 6 | 2024 | 1 | |
| 7 | 2023 | 2 | |
| 8 | 2023 | 8 | |
| 9 | 2023 | 5 | |
| 10 | 2023 | 3 | |
| 11 | 2023 | 4 | |
| 12 | Aligning artificial intelligence with climate change mitigationbreakdown → | 2022 | 238 |
| 13 | 2022 | 2 | |
| 14 | 2022 | 2 | |
| 15 | 2022 | 23 | |
| 16 | 2022 | 6 | |
| 17 | Artificial Intelligence and Climate Change: Opportunities, considerations, and policy levers to align AI with climate change goals | 2021 | 4 |
| 18 | Fast and Accurate Sequence Labeling with Iterated Dilated Convolutions. | 2017 | 14 |
| 19 | Extracting Multilingual Relations under Limited Resources: TAC 2016 Cold-Start KB construction and Slot-Filling using Compositional Universal Schema. | 2016 | 3 |
| 20 | Building Knowledge Bases with Universal Schema: Cold Start and Slot-Filling Approaches. | 2015 | 4 |
About Emma Strubell
Emma Strubell is a scholar working on Artificial Intelligence, General Social Sciences and Computer Vision and Pattern Recognition, having authored 40 papers that have together received 1.1k indexed citations. Recurring topics across this work include Topic Modeling (24 papers), Natural Language Processing Techniques (18 papers), Multimodal Machine Learning Applications (6 papers), Explainable Artificial Intelligence (XAI) (4 papers), Speech and dialogue systems (3 papers), Machine Learning in Materials Science (3 papers), Machine Learning and Algorithms (3 papers) and Green IT and Sustainability (3 papers). The work is most often cited by research in Health Informatics (39 citations), Artificial Intelligence (369 citations) and Safety Research (76 citations). Emma Strubell has collaborated with scholars based in United States, United Kingdom and Germany. Frequent co-authors include Andrew McCallum, Ananya Ganesh, Alexandra Sasha Luccioni, Lynn H. Kaack, Priya L. Donti, David Rolnick, George Kamiya, Felix Creutzig, Yacine Jernite and Elsa Olivetti. Their work appears in journals such as Nature, Nature Climate Change and Journal of Theoretical Biology.
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.