David Uthus

496 total citations
13 papers, 251 citations indexed

About

David Uthus is a scholar working on Artificial Intelligence, Human-Computer Interaction and Sociology and Political Science. According to data from OpenAlex, David Uthus has authored 13 papers receiving a total of 251 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Artificial Intelligence, 3 papers in Human-Computer Interaction and 2 papers in Sociology and Political Science. Recurrent topics in David Uthus's work include Natural Language Processing Techniques (6 papers), Topic Modeling (5 papers) and Speech and dialogue systems (2 papers). David Uthus is often cited by papers focused on Natural Language Processing Techniques (6 papers), Topic Modeling (5 papers) and Speech and dialogue systems (2 papers). David Uthus collaborates with scholars based in United States and New Zealand. David Uthus's co-authors include David W. Aha, Mandy Guo, Santiago Ontañón, Joshua Ainslie, Yun-Hsuan Sung, Yinfei Yang, Jianmo Ni, Patricia Riddle, Hans W. Guesgen and Zarana Parekh and has published in prestigious journals such as Artificial Intelligence, Journal of Scheduling and National Conference on Artificial Intelligence.

In The Last Decade

David Uthus

12 papers receiving 235 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
David Uthus United States	8	191	43	31	20	15	13	251
Heshaam Faili Iran	11	319 1.7×	67 1.6×	24 0.8×	12 0.6×	7 0.5×	79	366
Tahani Alsubait Saudi Arabia	11	169 0.9×	88 2.0×	32 1.0×	16 0.8×	31 2.1×	31	296
Jen‐Yuan Yeh Taiwan	7	260 1.4×	69 1.6×	23 0.7×	11 0.6×	7 0.5×	15	323
Le Sun China	8	293 1.5×	62 1.4×	29 0.9×	36 1.8×	9 0.6×	25	365
Itziar Aldabe Spain	8	296 1.5×	65 1.5×	22 0.7×	42 2.1×	14 0.9×	30	329
M. McCandless United States	9	179 0.9×	50 1.2×	29 0.9×	5 0.3×	9 0.6×	24	257
Niklas Muennighoff United States	6	302 1.6×	37 0.9×	55 1.8×	16 0.8×	10 0.7×	8	379
Viet-Man Le Austria	8	79 0.4×	86 2.0×	15 0.5×	15 0.8×	13 0.9×	27	164
Jingyun Xu China	9	302 1.6×	53 1.2×	31 1.0×	46 2.3×	7 0.5×	19	352
Jörg Waitelonis Germany	8	173 0.9×	66 1.5×	70 2.3×	64 3.2×	17 1.1×	32	264

Countries citing papers authored by David Uthus

Since Specialization

Citations

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

Fields of papers citing papers by David Uthus

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of David Uthus

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

All Works

Sort: Min cites: Since: Top N: Style:

13 of 13 papers shown

1.

Uthus, David, et al.. (2024). Reconsidering Sentence-Level Sign Language Translation. 6262–6287. 2 indexed citations

2.

Santos, Cícero Nogueira dos, James Lee-Thorp, Isaac Noble, Chung-Ching Chang, & David Uthus. (2024). Memory Augmented Language Models through Mixture of Word Experts. 4425–4438. 2 indexed citations

3.

Ainslie, Joshua, Michiel de Jong, Santiago Ontañón, et al.. (2023). CoLT5: Faster Long-Range Transformers with Conditional Computation. 5085–5100. 18 indexed citations

4.

Uthus, David, Santiago Ontañón, Joshua Ainslie, & Mandy Guo. (2023). mLongT5: A Multilingual and Efficient Text-To-Text Transformer for Longer Sequences. 9380–9386. 5 indexed citations

5.

Guo, Mandy, Joshua Ainslie, David Uthus, et al.. (2022). LongT5: Efficient Text-To-Text Transformer for Long Sequences. 724–736. 113 indexed citations

6.

Constant, Noah, et al.. (2021). TextSETTR: Few-Shot Text Style Extraction and Tunable Targeted Restyling. 23 indexed citations

7.

Hovy, Eduard, et al.. (2013). Analyzing microtext : papers from the AAAI Spring Symposium.

8.

Uthus, David & David W. Aha. (2013). Extending Word Highlighting in Multiparticipant Chat. The Florida AI Research Society. 1 indexed citations

9.

Uthus, David & David W. Aha. (2013). The Ubuntu Chat Corpus for Multiparticipant Chat Analysis. National Conference on Artificial Intelligence. 17 indexed citations

10.

Uthus, David & David W. Aha. (2013). Multiparticipant chat analysis: A survey. Artificial Intelligence. 199-200. 106–121. 43 indexed citations

11.

Uthus, David, Patricia Riddle, & Hans W. Guesgen. (2011). Solving the traveling tournament problem with iterative-deepening A∗. Journal of Scheduling. 15(5). 601–614. 10 indexed citations

12.

Uthus, David & David W. Aha. (2011). Plans Toward Automated Chat Summarization. 1–7. 9 indexed citations

13.

Uthus, David, Patricia Riddle, & Hans W. Guesgen. (2009). An ant colony optimization approach to the traveling tournament problem. 81–88. 8 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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