Daniel Fried

1.4k total citations
19 papers, 295 citations indexed

About

Daniel Fried is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Information Systems. According to data from OpenAlex, Daniel Fried has authored 19 papers receiving a total of 295 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Artificial Intelligence, 5 papers in Computer Vision and Pattern Recognition and 2 papers in Information Systems. Recurrent topics in Daniel Fried's work include Topic Modeling (10 papers), Natural Language Processing Techniques (10 papers) and Speech and dialogue systems (6 papers). Daniel Fried is often cited by papers focused on Topic Modeling (10 papers), Natural Language Processing Techniques (10 papers) and Speech and dialogue systems (6 papers). Daniel Fried collaborates with scholars based in United States, Germany and South Sudan. Daniel Fried's co-authors include Dan Klein, Jacob Andreas, Mihai Surdeanu, Melanie Hingle, Stephen Kobourov, Mitchell Stern, Ronghang Hu, Kate Saenko, Trevor Darrell and Anna Rohrbach and has published in prestigious journals such as Physical Therapy, Transactions of the Association for Computational Linguistics and arXiv (Cornell University).

In The Last Decade

Daniel Fried

14 papers receiving 277 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Daniel Fried United States 9 207 103 22 22 19 19 295
Olivier Galibert France 11 179 0.9× 81 0.8× 47 2.1× 13 0.6× 5 0.3× 48 335
Chloé Kiddon United States 6 239 1.2× 85 0.8× 10 0.5× 43 2.0× 5 0.3× 8 301
Naoki Yoshinaga Japan 14 348 1.7× 73 0.7× 24 1.1× 55 2.5× 2 0.1× 54 407
Silvio Amir Portugal 8 486 2.3× 62 0.6× 12 0.5× 50 2.3× 2 0.1× 17 539
Akiyo Nadamoto Japan 9 115 0.6× 63 0.6× 78 3.5× 116 5.3× 5 0.3× 64 284
Md. Shohel Rana United States 8 141 0.7× 249 2.4× 28 1.3× 46 2.1× 7 0.4× 22 420
Tanmay Basu India 8 154 0.7× 24 0.2× 27 1.2× 64 2.9× 2 0.1× 16 273
Xuan-Son Vu Sweden 7 102 0.5× 83 0.8× 10 0.5× 17 0.8× 2 0.1× 25 181
Στέλλα Μαρκαντωνάτου Greece 10 116 0.6× 28 0.3× 47 2.1× 8 0.4× 55 2.9× 40 241
Anja Habacha Chaïbi Tunisia 6 153 0.7× 16 0.2× 21 1.0× 63 2.9× 2 0.1× 20 256

Countries citing papers authored by Daniel Fried

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Daniel Fried

This figure shows the co-authorship network connecting the top 25 collaborators of Daniel Fried. A scholar is included among the top collaborators of Daniel Fried based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Daniel Fried. Daniel Fried is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

19 of 19 papers shown
1.
2.
Peng, Yi-Hao, Sanjay Subramanian, Maarten Sap, et al.. (2025). AutoPresent: Designing Structured Visuals from Scratch. 2902–2911.
3.
Koh, Jing Yu, Ming K. Lim, Po‐Yu Huang, et al.. (2024). VisualWebArena: Evaluating Multimodal Agents on Realistic Visual Web Tasks. 881–905. 8 indexed citations
4.
Cao, Yihan, et al.. (2023). API-Assisted Code Generation for Question Answering on Varied Table Structures. 14536–14548. 4 indexed citations
5.
Fried, Daniel, et al.. (2023). Generating Images with Multimodal Language Models. 21487–21506.
6.
Lin, Jessy, Daniel Fried, Dan Klein, & Anca D. Dragan. (2022). Inferring Rewards from Language in Context. Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers). 8546–8560. 13 indexed citations
7.
Fried, Daniel, Justin Chiu, & Dan Klein. (2021). Reference-Centric Models for Grounded Collaborative Dialogue. Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing. 2130–2147. 7 indexed citations
8.
Fried, Daniel, Nikita Kitaev, & Dan Klein. (2019). Cross-Domain Generalization of Neural Constituency Parsers. 323–330. 12 indexed citations
9.
Fried, Daniel, Ronghang Hu, Volkan Cirik, et al.. (2018). Speaker-Follower Models for Vision-and-Language Navigation. Neural Information Processing Systems. 31. 3314–3325. 61 indexed citations
10.
Fried, Daniel & Dan Klein. (2018). Policy Gradient as a Proxy for Dynamic Oracles in Constituency Parsing. 469–476. 11 indexed citations
11.
Fried, Daniel, Jacob Andreas, & Dan Klein. (2018). Unified Pragmatic Models for Generating and Following Instructions. 1951–1963. 39 indexed citations
12.
Stern, Mitchell, Daniel Fried, & Dan Klein. (2017). Effective Inference for Generative Neural Parsing. 1695–1700. 29 indexed citations
13.
Fried, Daniel, et al.. (2016). Challenges for using social media for early detection of T2DM. 1696. 1–2.
14.
Fried, Daniel, Peter Jansen, Gus Hahn-Powell, Mihai Surdeanu, & Peter E. Clark. (2015). Higher-order Lexical Semantic Models for Non-factoid Answer Reranking. Transactions of the Association for Computational Linguistics. 3. 197–210. 27 indexed citations
15.
Fried, Daniel, et al.. (2015). Low-Rank Tensors for Verbs in Compositional Distributional Semantics. 731–736. 12 indexed citations
16.
Fried, Daniel, et al.. (2014). Analyzing the language of food on social media. arXiv (Cornell University). 778–783. 60 indexed citations
17.
Fried, Daniel, et al.. (2013). A generative probabilistic framework for learning spatial language. 21. 1–8. 6 indexed citations
18.
Fried, Daniel, Zhen Li, Ali Jannesari, & Felix Wolf. (2013). Predicting Parallelization of Sequential Programs Using Supervised Learning. 72–77. 6 indexed citations
19.
Fried, Daniel, et al.. (1967). Splintig with a New Thermoplastic Material. Physical Therapy. 47(12). 1123–1125.

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.

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