Daniel Fried
Impact in
- Artificial Intelligence top 5%
- Topic Modeling
- Natural Language Processing Techniques
- Speech and dialogue systems
- Domain Adaptation and Few-Shot Learning
- Advanced Text Analysis Techniques
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- Multimodal Machine Learning Applications
- Advanced Image and Video Retrieval Techniques
- Human Pose and Action Recognition
Papers in ⓘ
-
- Natural Language Processing Techniques 10
- Topic Modeling 10
- Speech and dialogue systems 6
- Sentiment Analysis and Opinion Mining 2
- Text Readability and Simplification 2
- Co-authors
- Dan Klein (7 shared papers)Jacob Andreas (2 shared papers)Mihai Surdeanu (3 shared papers)Melanie Hingle (1 shared paper)Stephen Kobourov (2 shared papers)Mitchell Stern (1 shared paper)Trevor Darrell (2 shared papers)Volkan Cirik (1 shared paper)
- Journals
- Physical Therapy (1 paper)Transactions of the Association for Computational Linguistics (1 paper)arXiv (Cornell University) (1 paper)Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) (1 paper)Neural Information Processing Systems (1 paper)
- Partner nations
- United StatesGermanySouth Sudan
In The Last Decade
Daniel Fried
14 papers receiving 277 citations
Peers
Comparison fields: 5 of 53
- Artificial Intelligence 207
- Computer Vision and Pattern Recognition 103
- Computational Mathematics 1
- Human-Computer Interaction 6
- Food Science 19
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
| # | Work | ||
|---|---|---|---|
| 1 | Speaker-Follower Models for Vision-and-Language Navigation | 2018 | 61 |
| 2 | 2014 | 60 | |
| 3 | 2018 | 39 | |
| 4 | 2017 | 29 | |
| 5 | 2015 | 27 | |
| 6 | 2022 | 13 | |
| 7 | 2015 | 12 | |
| 8 | 2019 | 12 | |
| 9 | 2018 | 11 | |
| 10 | 2024 | 8 | |
| 11 | 2021 | 7 | |
| 12 | 2013 | 6 | |
| 13 | 2013 | 6 | |
| 14 | 2023 | 4 | |
| 15 | 2025 | 0 | |
| 16 | 2023 | 0 | |
| 17 | 2025 | 0 | |
| 18 | 1967 | 0 | |
| 19 | Challenges for using social media for early detection of T2DM | 2016 | 0 |
About Daniel Fried
Daniel Fried is a scholar working on Computational Mathematics, Artificial Intelligence, Computer Vision and Pattern Recognition, Hardware and Architecture and Information Systems, having authored 19 papers that have together received 295 indexed citations. Recurring topics across this work include Natural Language Processing Techniques (10 papers), Topic Modeling (10 papers), Speech and dialogue systems (6 papers), Multimodal Machine Learning Applications (5 papers), Sentiment Analysis and Opinion Mining (2 papers), Software Engineering Research (2 papers), Text Readability and Simplification (2 papers) and Complex Network Analysis Techniques (1 paper). The work is most often cited by research in Artificial Intelligence (207 citations), Computer Vision and Pattern Recognition (103 citations), Computational Mathematics (1 citation), Human-Computer Interaction (6 citations) and Food Science (19 citations). Daniel Fried has collaborated with scholars based in United States, Germany and South Sudan. Frequent co-authors include Dan Klein, Jacob Andreas, Mihai Surdeanu, Melanie Hingle, Stephen Kobourov, Mitchell Stern, Trevor Darrell, Volkan Cirik, Anna Rohrbach and Kate Saenko. Their work appears in journals such as Physical Therapy, Transactions of the Association for Computational Linguistics, arXiv (Cornell University), Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) and Neural Information Processing Systems.
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.