Jesse Dodge
Impact in
- Artificial Intelligence top 1%
- Topic Modeling
- Natural Language Processing Techniques
- Domain Adaptation and Few-Shot Learning
- Advanced Text Analysis Techniques
- Health Informatics top 5%
Papers in
-
- Natural Language Processing Techniques 20
- Topic Modeling 20
- Machine Learning and Data Classification 3
- Advanced Graph Neural Networks 2
- Speech and dialogue systems 2
- Co-authors
- Noah A. Smith (11 shared papers)Roy Schwartz (6 shared papers)Oren Etzioni (2 shared papers)Chris Dyer (2 shared papers)Manaal Faruqui (1 shared paper)Eduard H. Hovy (1 shared paper)Sunil Kumar Jauhar (1 shared paper)Margaret A. Mitchell (7 shared papers)
- Journals
- Communications of the ACM (1 paper)Nature Machine Intelligence (1 paper)Transactions of the Association for Computational Linguistics (1 paper)International Journal of Computer Vision (1 paper)UvA-DARE (University of Amsterdam) (1 paper)
- Partner nations
- United StatesCanadaIsrael
In The Last Decade
Jesse Dodge
35 papers receiving 2.4k citations
Jesse Dodge's Hit Papers
Peers
Comparison fields: 5 of 136
- Artificial Intelligence 1.5k
- Health Informatics 55
- Computer Vision and Pattern Recognition 653
- Safety Research 102
- Computer Science Applications 71
Countries citing papers authored by Jesse Dodge
This map shows the geographic impact of Jesse Dodge'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 Jesse Dodge with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jesse Dodge more than expected).
Fields of papers citing papers by Jesse Dodge
This network shows the impact of papers produced by Jesse Dodge. 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 Jesse Dodge. The network helps show where Jesse Dodge may publish in the future.
Co-authors
The 25 scholars most cited alongside Jesse Dodge, 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 38 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Green AI Hit paper breakdown → | 2020 | 867 |
| 2 | Retrofitting Word Vectors to Semantic Lexicons Hit paper breakdown → | 2015 | 514 |
| 3 | Midge: Generating Image Descriptions From Computer Vision Detections | 2012 | 289 |
| 4 | 2022 | 143 | |
| 5 | 2019 | 143 | |
| 6 | 2016 | 83 | |
| 7 | 2015 | 63 | |
| 8 | 2023 | 57 | |
| 9 | 2014 | 53 | |
| 10 | 2021 | 51 | |
| 11 | 2024 | 37 | |
| 12 | Detecting visual text | 2013 | 29 |
| 13 | 2024 | 27 | |
| 14 | 2022 | 26 | |
| 15 | 2022 | 16 | |
| 16 | 2023 | 16 | |
| 17 | 2025 | 12 | |
| 18 | 2021 | 11 | |
| 19 | 2023 | 11 | |
| 20 | 2024 | 10 |
About Jesse Dodge
Jesse Dodge is a scholar working on Artificial Intelligence, General Social Sciences, Computer Vision and Pattern Recognition, Statistics, Probability and Uncertainty and Safety Research, having authored 38 papers that have together received 2.5k indexed citations. Recurring topics across this work include Natural Language Processing Techniques (20 papers), Topic Modeling (20 papers), Advanced Image and Video Retrieval Techniques (4 papers), Multimodal Machine Learning Applications (3 papers), Machine Learning and Data Classification (3 papers), Image Retrieval and Classification Techniques (2 papers), Advanced Graph Neural Networks (2 papers) and Speech and dialogue systems (2 papers). The work is most often cited by research in Artificial Intelligence (1.5k citations), Health Informatics (55 citations), Computer Vision and Pattern Recognition (653 citations), Safety Research (102 citations) and Computer Science Applications (71 citations). Jesse Dodge has collaborated with scholars based in United States, Canada and Israel. Frequent co-authors include Noah A. Smith, Roy Schwartz, Oren Etzioni, Chris Dyer, Manaal Faruqui, Eduard H. Hovy, Sunil Kumar Jauhar, Margaret A. Mitchell, Kota Yamaguchi and Xufeng Han. Their work appears in journals such as Communications of the ACM, Nature Machine Intelligence, Transactions of the Association for Computational Linguistics, International Journal of Computer Vision and UvA-DARE (University of Amsterdam).
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.