Mark Yatskar
Impact in
- Artificial Intelligence top 1%
- Topic Modeling
- Natural Language Processing Techniques
- Domain Adaptation and Few-Shot Learning
- Speech and dialogue systems
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- Multimodal Machine Learning Applications
- Advanced Image and Video Retrieval Techniques
- Human Pose and Action Recognition
Papers in
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- Topic Modeling 14
- Natural Language Processing Techniques 8
- Domain Adaptation and Few-Shot Learning 4
- Explainable Artificial Intelligence (XAI) 3
- Adversarial Robustness in Machine Learning 2
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- Multimodal Machine Learning Applications 12
- Human Pose and Action Recognition 4
- Co-authors
- Luke Zettlemoyer (5 shared papers)Kai-Wei Chang (4 shared papers)Vicente Ordóñez (5 shared papers)Jieyu Zhao (3 shared papers)Tianlu Wang (3 shared papers)Christopher Clark (2 shared papers)Ali Farhadi (4 shared papers)Mohit Iyyer (2 shared papers)
- Journals
- Transactions of the Association for Computational Linguistics (1 paper)arXiv (Cornell University) (1 paper)PubMed (1 paper)Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing (1 paper)
- Partner nations
- United StatesSouth KoreaUnited Kingdom
In The Last Decade
Mark Yatskar
22 papers receiving 1.5k citations
Hit Papers
Peers
Comparison fields: 5 of 106
- Artificial Intelligence 1.3k
- Computer Vision and Pattern Recognition 663
- Health Informatics 42
- Safety Research 153
- General Social Sciences 26
Countries citing papers authored by Mark Yatskar
This map shows the geographic impact of Mark Yatskar'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 Mark Yatskar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mark Yatskar more than expected).
Fields of papers citing papers by Mark Yatskar
This network shows the impact of papers produced by Mark Yatskar. 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 Mark Yatskar. The network helps show where Mark Yatskar may publish in the future.
Co-authors
The 25 scholars most cited alongside Mark Yatskar, 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 23 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Men Also Like Shopping: Reducing Gender Bias Amplification using Corpus-level Constraints Hit paper breakdown → | 2017 | 403 |
| 2 | QuAC: Question Answering in Context Hit paper breakdown → | 2018 | 343 |
| 3 | 2019 | 199 | |
| 4 | 2019 | 179 | |
| 5 | 2016 | 132 | |
| 6 | 2010 | 93 | |
| 7 | 2020 | 73 | |
| 8 | 2023 | 56 | |
| 9 | 2014 | 33 | |
| 10 | 2019 | 26 | |
| 11 | 2017 | 25 | |
| 12 | 2016 | 19 | |
| 13 | 2024 | 10 | |
| 14 | 2024 | 8 | |
| 15 | Adversarial Removal of Gender from Deep Image Representations. | 2018 | 7 |
| 16 | 2021 | 4 | |
| 17 | 2023 | 1 | |
| 18 | 2024 | 1 | |
| 19 | 2025 | 1 | |
| 20 | 2022 | 1 |
About Mark Yatskar
Mark Yatskar is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Computer Science Applications, Molecular Biology and Social Psychology, having authored 23 papers that have together received 1.6k indexed citations. Recurring topics across this work include Topic Modeling (14 papers), Multimodal Machine Learning Applications (12 papers), Natural Language Processing Techniques (8 papers), Human Pose and Action Recognition (4 papers), Domain Adaptation and Few-Shot Learning (4 papers), Explainable Artificial Intelligence (XAI) (3 papers), Adversarial Robustness in Machine Learning (2 papers) and Mobile Crowdsensing and Crowdsourcing (2 papers). The work is most often cited by research in Artificial Intelligence (1.3k citations), Computer Vision and Pattern Recognition (663 citations), Health Informatics (42 citations), Safety Research (153 citations) and General Social Sciences (26 citations). Mark Yatskar has collaborated with scholars based in United States, South Korea and United Kingdom. Frequent co-authors include Luke Zettlemoyer, Kai-Wei Chang, Vicente Ordóñez, Jieyu Zhao, Tianlu Wang, Christopher Clark, Ali Farhadi, Mohit Iyyer, Wen-tau Yih and Percy Liang. Their work appears in journals such as Transactions of the Association for Computational Linguistics, arXiv (Cornell University), PubMed and Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing.
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.