Alane Suhr
Impact in
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- Multimodal Machine Learning Applications
- Advanced Image and Video Retrieval Techniques
- Human Pose and Action Recognition
- Artificial Intelligence top 5%
- Topic Modeling
- Natural Language Processing Techniques
- Domain Adaptation and Few-Shot Learning
- Speech and dialogue systems
- Semantic Web and Ontologies
Papers in
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- Topic Modeling 10
- Natural Language Processing Techniques 8
- Speech and dialogue systems 7
- Domain Adaptation and Few-Shot Learning 4
- Multi-Agent Systems and Negotiation 1
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- Multimodal Machine Learning Applications 8
- Human Pose and Action Recognition 1
- Co-authors
- Yoav Artzi (10 shared papers)Mike Lewis (2 shared papers)Kenton Lee (1 shared paper)Peter Martin Shaw (1 shared paper)Ming‐Wei Chang (1 shared paper)Iris Zhang (2 shared papers)Noah Snavely (1 shared paper)Howard Chen (1 shared paper)
- Journals
- Transactions of the Association for Computational Linguistics (1 paper)AI Magazine (1 paper)arXiv (Cornell University) (4 papers)
- Partner nations
- United StatesIsraelGermany
In The Last Decade
Alane Suhr
16 papers receiving 323 citations
Peers
Comparison fields: 5 of 35
- Computer Vision and Pattern Recognition 197
- Artificial Intelligence 264
- Information Systems 20
- Experimental and Cognitive Psychology 10
- Information Systems and Management 5
Countries citing papers authored by Alane Suhr
This map shows the geographic impact of Alane Suhr'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 Alane Suhr with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Alane Suhr more than expected).
Fields of papers citing papers by Alane Suhr
This network shows the impact of papers produced by Alane Suhr. 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 Alane Suhr. The network helps show where Alane Suhr may publish in the future.
Co-authors
The 25 scholars most cited alongside Alane Suhr, 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 | 2017 | 113 | |
| 2 | 2020 | 47 | |
| 3 | 2019 | 38 | |
| 4 | 2019 | 32 | |
| 5 | 2019 | 29 | |
| 6 | 2023 | 21 | |
| 7 | 2023 | 15 | |
| 8 | 2018 | 12 | |
| 9 | 2018 | 7 | |
| 10 | 2021 | 5 | |
| 11 | 2021 | 4 | |
| 12 | 2018 | 3 | |
| 13 | 2018 | 2 | |
| 14 | 2021 | 2 | |
| 15 | 2025 | 1 | |
| 16 | 2024 | 1 |
About Alane Suhr
Alane Suhr is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Computer Science Applications, Information Systems and Computer Networks and Communications, having authored 16 papers that have together received 332 indexed citations. Recurring topics across this work include Topic Modeling (10 papers), Multimodal Machine Learning Applications (8 papers), Natural Language Processing Techniques (8 papers), Speech and dialogue systems (7 papers), Domain Adaptation and Few-Shot Learning (4 papers), Human Pose and Action Recognition (1 paper), Software Engineering Research (1 paper) and Multi-Agent Systems and Negotiation (1 paper). The work is most often cited by research in Computer Vision and Pattern Recognition (197 citations), Artificial Intelligence (264 citations), Information Systems (20 citations), Experimental and Cognitive Psychology (10 citations) and Information Systems and Management (5 citations). Alane Suhr has collaborated with scholars based in United States, Israel and Germany. Frequent co-authors include Yoav Artzi, Mike Lewis, Kenton Lee, Peter Martin Shaw, Ming‐Wei Chang, Iris Zhang, Noah Snavely, Howard Chen, Dipendra Kumar Misra and Srinivasan V. Iyer. Their work appears in journals such as Transactions of the Association for Computational Linguistics, AI Magazine and arXiv (Cornell University).
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.