Timothy Dozat

5.2k total citations · 1 hit paper
12 papers, 1.8k citations indexed

About

Timothy Dozat is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Molecular Biology. According to data from OpenAlex, Timothy Dozat has authored 12 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Artificial Intelligence, 3 papers in Computer Vision and Pattern Recognition and 1 paper in Molecular Biology. Recurrent topics in Timothy Dozat's work include Natural Language Processing Techniques (10 papers), Topic Modeling (9 papers) and Text Readability and Simplification (3 papers). Timothy Dozat is often cited by papers focused on Natural Language Processing Techniques (10 papers), Topic Modeling (9 papers) and Text Readability and Simplification (3 papers). Timothy Dozat collaborates with scholars based in United States, Finland and Sweden. Timothy Dozat's co-authors include Christopher D. Manning, Peng Qi, Natalia Silveira, Marie-Catherine de Marneffe, Filip Ginter, Joakim Nivre, Katri Haverinen, Yuhao Zhang, Samuel Bowman and John Bauer and has published in prestigious journals such as Language Resources and Evaluation, Transactions of the Association for Computational Linguistics and arXiv (Cornell University).

In The Last Decade

Timothy Dozat

12 papers receiving 1.6k citations

Hit Papers

Incorporating Nesterov Momentum into Adam 2016 2026 2019 2022 2016 250 500 750

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Timothy Dozat United States 9 1.3k 340 110 86 75 12 1.8k
Matthew Graham United Kingdom 2 930 0.7× 254 0.7× 151 1.4× 115 1.3× 61 0.8× 2 1.5k
Yilin Yan United States 10 635 0.5× 352 1.0× 122 1.1× 110 1.3× 84 1.1× 23 1.3k
Quanshi Zhang China 20 915 0.7× 549 1.6× 71 0.6× 67 0.8× 54 0.7× 58 1.8k
Been Kim United States 15 1.1k 0.8× 280 0.8× 74 0.7× 35 0.4× 52 0.7× 32 1.5k
Saad Sadiq United States 10 495 0.4× 291 0.9× 102 0.9× 97 1.1× 78 1.0× 16 1.2k
Qingquan Song United States 11 567 0.4× 239 0.7× 120 1.1× 76 0.9× 43 0.6× 23 1.0k
Jose G. Moreno-Torres Spain 6 717 0.6× 156 0.5× 120 1.1× 117 1.4× 54 0.7× 8 1.1k
Haiman Tian United States 10 609 0.5× 370 1.1× 111 1.0× 106 1.2× 31 0.4× 21 1.3k
Lu Bai China 23 700 0.6× 526 1.5× 112 1.0× 39 0.5× 103 1.4× 81 1.4k
Wojciech Marian Czarnecki Poland 15 827 0.7× 285 0.8× 53 0.5× 131 1.5× 71 0.9× 36 1.5k

Countries citing papers authored by Timothy Dozat

Since Specialization
Citations

This map shows the geographic impact of Timothy Dozat'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 Timothy Dozat with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Timothy Dozat more than expected).

Fields of papers citing papers by Timothy Dozat

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Timothy Dozat. 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 Timothy Dozat. The network helps show where Timothy Dozat may publish in the future.

Co-authorship network of co-authors of Timothy Dozat

This figure shows the co-authorship network connecting the top 25 collaborators of Timothy Dozat. A scholar is included among the top collaborators of Timothy Dozat 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 Timothy Dozat. Timothy Dozat is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

12 of 12 papers shown
1.
Sun, Jiao, Thibault Sellam, Elizabeth A. Clark, et al.. (2023). Dialect-robust Evaluation of Generated Text. 6010–6028. 8 indexed citations
2.
Dozat, Timothy, Xavier García, Dan Garrette, et al.. (2023). FRMT: A Benchmark for Few-Shot Region-Aware Machine Translation. Transactions of the Association for Computational Linguistics. 11. 671–685. 4 indexed citations
3.
Li, Chunliang, Hao Zhang, Timothy Dozat, et al.. (2023). FormNetV2: Multimodal Graph Contrastive Learning for Form Document Information Extraction. 9011–9026. 3 indexed citations
4.
Li, Chunliang, Timothy Dozat, Vinçent Pérot, et al.. (2022). FormNet: Structural Encoding beyond Sequential Modeling in Form Document Information Extraction. Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers). 3735–3754. 4 indexed citations
5.
Qi, Peng, Timothy Dozat, Yuhao Zhang, & Christopher D. Manning. (2018). Universal Dependency Parsing from Scratch. 160–170. 132 indexed citations
6.
Dozat, Timothy & Christopher D. Manning. (2018). Simpler but More Accurate Semantic Dependency Parsing. 484–490. 89 indexed citations
7.
Dozat, Timothy, Peng Qi, & Christopher D. Manning. (2017). Stanford's Graph-based Neural Dependency Parser at the CoNLL 2017 Shared Task. 20–30. 111 indexed citations
8.
Dozat, Timothy & Christopher D. Manning. (2016). Deep Biaffine Attention for Neural Dependency Parsing. arXiv (Cornell University). 257 indexed citations
9.
Dozat, Timothy. (2016). Incorporating Nesterov Momentum into Adam. 765 indexed citations breakdown →
10.
Marneffe, Marie-Catherine de, Timothy Dozat, Natalia Silveira, et al.. (2014). Universal Stanford dependencies: A cross-linguistic typology. Language Resources and Evaluation. 4585–4592. 255 indexed citations
11.
Silveira, Natalia, Timothy Dozat, Marie-Catherine de Marneffe, et al.. (2014). A Gold Standard Dependency Corpus for English. Language Resources and Evaluation. 2897–2904. 109 indexed citations
12.
Marneffe, Marie-Catherine de, et al.. (2013). More Constructions, More Genres: Extending Stanford Dependencies. Digital Access to Libraries (Université catholique de Louvain (UCL), l'Université de Namur (UNamur) and the Université Saint-Louis (USL-B)). 187–196. 20 indexed citations

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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