Daniel Fried
Impact in
- Artificial Intelligence top 5%
- Topic Modeling
- Natural Language Processing Techniques
- Speech and dialogue systems
- Domain Adaptation and Few-Shot Learning
- Reinforcement Learning in Robotics
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- Multimodal Machine Learning Applications
- Human Pose and Action Recognition
- Advanced Image and Video Retrieval Techniques
Papers in
-
- Natural Language Processing Techniques 14
- Topic Modeling 14
- Speech and dialogue systems 6
- Text Readability and Simplification 3
- Multi-Agent Systems and Negotiation 2
- Machine Learning and Data Classification 1
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- Multimodal Machine Learning Applications 9
- Co-authors
- Dan Klein (11 shared papers)Jacob Andreas (3 shared papers)Mihai Surdeanu (2 shared papers)Mitchell Stern (2 shared papers)Anna Rohrbach (2 shared papers)Ronghang Hu (2 shared papers)Kate Saenko (2 shared papers)Trevor J. Darrell (4 shared papers)
- Journals
- Transactions of the Association for Computational Linguistics (2 papers)Physical Therapy (1 paper)Science (1 paper)Zenodo (CERN European Organization for Nuclear Research) (1 paper)Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) (1 paper)
- Partner nations
- United StatesGermanyUnited Kingdom
In The Last Decade
Daniel Fried
23 papers receiving 616 citations
Peers
Comparison fields: 5 of 81
- Artificial Intelligence 446
- Computer Vision and Pattern Recognition 219
- Health Informatics 5
- Safety Research 23
- General Social Sciences 7
Countries citing papers authored by Daniel Fried
This map shows the geographic impact of Daniel Fried'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 Daniel Fried with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Fried more than expected).
Fields of papers citing papers by Daniel Fried
This network shows the impact of papers produced by Daniel Fried. 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 Daniel Fried. The network helps show where Daniel Fried may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniel Fried, 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 27 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2022 | 136 | |
| 2 | Speaker-Follower Models for Vision-and-Language Navigation | 2018 | 80 |
| 3 | 2014 | 67 | |
| 4 | 2019 | 48 | |
| 5 | 2018 | 47 | |
| 6 | 2015 | 35 | |
| 7 | 2017 | 34 | |
| 8 | 2019 | 30 | |
| 9 | 2017 | 24 | |
| 10 | 2024 | 23 | |
| 11 | 2020 | 21 | |
| 12 | 2019 | 17 | |
| 13 | 2018 | 16 | |
| 14 | 2022 | 16 | |
| 15 | 2015 | 14 | |
| 16 | 2022 | 13 | |
| 17 | 2013 | 10 | |
| 18 | 2021 | 7 | |
| 19 | 2013 | 6 | |
| 20 | 2023 | 4 |
About Daniel Fried
Daniel Fried is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Information Systems, Computational Mathematics and Software, having authored 27 papers that have together received 652 indexed citations. Recurring topics across this work include Natural Language Processing Techniques (14 papers), Topic Modeling (14 papers), Multimodal Machine Learning Applications (9 papers), Speech and dialogue systems (6 papers), Software Engineering Research (3 papers), Text Readability and Simplification (3 papers), Multi-Agent Systems and Negotiation (2 papers) and Machine Learning and Data Classification (1 paper). The work is most often cited by research in Artificial Intelligence (446 citations), Computer Vision and Pattern Recognition (219 citations), Health Informatics (5 citations), Safety Research (23 citations) and General Social Sciences (7 citations). Daniel Fried has collaborated with scholars based in United States, Germany and United Kingdom. Frequent co-authors include Dan Klein, Jacob Andreas, Mihai Surdeanu, Mitchell Stern, Anna Rohrbach, Ronghang Hu, Kate Saenko, Trevor J. Darrell, Melanie D. Hingle and Stephen Kobourov. Their work appears in journals such as Transactions of the Association for Computational Linguistics, Physical Therapy, Science, Zenodo (CERN European Organization for Nuclear Research) and Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers).
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.