Jeff Dalton

4.1k total citations
88 papers, 1.7k citations indexed

About

Jeff Dalton is a scholar working on Artificial Intelligence, Information Systems and Management Science and Operations Research. According to data from OpenAlex, Jeff Dalton has authored 88 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 62 papers in Artificial Intelligence, 33 papers in Information Systems and 10 papers in Management Science and Operations Research. Recurrent topics in Jeff Dalton's work include Topic Modeling (35 papers), Semantic Web and Ontologies (19 papers) and Natural Language Processing Techniques (17 papers). Jeff Dalton is often cited by papers focused on Topic Modeling (35 papers), Semantic Web and Ontologies (19 papers) and Natural Language Processing Techniques (17 papers). Jeff Dalton collaborates with scholars based in United Kingdom, United States and Netherlands. Jeff Dalton's co-authors include Austin Tate, Laura Dietz, Steven Williams, James Allan, Christopher Andrew, Cynthia H.Y. Fu, Martina Mitterschiffthaler, Andrzej Uszok, Jeffrey M. Bradshaw and Anthony S. David and has published in prestigious journals such as PLoS ONE, NeuroImage and Journal of Experimental Psychology General.

In The Last Decade

Jeff Dalton

85 papers receiving 1.6k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jeff Dalton United Kingdom 21 765 450 404 197 195 88 1.7k
Runa Bhaumik United States 23 508 0.7× 799 1.8× 251 0.6× 105 0.5× 65 0.3× 58 1.9k
Simon Harper United Kingdom 32 271 0.4× 461 1.0× 738 1.8× 152 0.8× 173 0.9× 201 3.0k
Jelena Jovanović Serbia 34 1.0k 1.4× 662 1.5× 157 0.4× 29 0.1× 102 0.5× 146 3.8k
Charalabos Skianis Greece 26 157 0.2× 453 1.0× 294 0.7× 195 1.0× 121 0.6× 108 2.7k
Michael M. Richter Switzerland 26 377 0.5× 252 0.6× 1.4k 3.5× 85 0.4× 425 2.2× 115 3.1k
David Carmel United Kingdom 23 311 0.4× 297 0.7× 1.0k 2.5× 38 0.2× 268 1.4× 59 1.7k
Mark Rosenstein United States 10 303 0.4× 583 1.3× 108 0.3× 90 0.5× 60 0.3× 25 1.0k
Ben Hutchinson United States 22 694 0.9× 189 0.4× 1.2k 2.9× 83 0.4× 206 1.1× 70 2.5k
Manuel Ninaus Germany 25 253 0.3× 205 0.5× 593 1.5× 79 0.4× 168 0.9× 78 2.4k
Jonathan Templin United States 23 959 1.3× 155 0.3× 107 0.3× 100 0.5× 126 0.6× 55 3.0k

Countries citing papers authored by Jeff Dalton

Since Specialization
Citations

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

Fields of papers citing papers by Jeff Dalton

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jeff Dalton

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

All Works

20 of 20 papers shown
1.
Dietz, Laura, Peter Bailey, Charles L. A. Clarke, et al.. (2025). Principles and Guidelines for the Use of LLM Judges. ArXiv.org. 218–229. 1 indexed citations
2.
Aliannejadi, Mohammad, et al.. (2024). TREC iKAT 2023: A Test Collection for Evaluating Conversational and Interactive Knowledge Assistants. UvA-DARE (University of Amsterdam). 819–829. 6 indexed citations
3.
Ramsay, Andrew, et al.. (2024). Doing Personal LAPS: LLM-Augmented Dialogue Construction for Personalized Multi-Session Conversational Search. arXiv (Cornell University). 796–806. 7 indexed citations
4.
Dalton, Jeff, et al.. (2023). Generating Multimodal Augmentations with LLMs from Song Metadata for Music Information Retrieval. ENLIGHTEN (Jurnal Bimbingan dan Konseling Islam). 51–59. 2 indexed citations
5.
Wang, Chaoyang, et al.. (2022). Multimodal Generation of Radiology Reports using Knowledge-Grounded Extraction of Entities and Relations. ENLIGHTEN (Jurnal Bimbingan dan Konseling Islam). 615–624. 5 indexed citations
6.
Aliannejadi, Mohammad, Julia Kiseleva, Aleksandr Chuklin, Jeff Dalton, & Mikhail Burtsev. (2021). Building and Evaluating Open-Domain Dialogue Corpora with Clarifying Questions. Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing. 4473–4484. 37 indexed citations
7.
Dalton, Jeff, Chenyan Xiong, & Jamie Callan. (2020). CAsT 2020: The Conversational Assistance Track Overview.. Text REtrieval Conference. 21 indexed citations
8.
Dietz, Laura & Jeff Dalton. (2013). UMass at TREC 2013 Knowledge Base Acceleration Track: Bi-directional Entity Linking and Time-aware Evaluation.. Text REtrieval Conference. 5 indexed citations
9.
Dalton, Jeff & Laura Dietz. (2013). UMass CIIR at TAC KBP 2013 Entity Linking: Query Expansion using Urban Dictionary. Theory and applications of categories. 1 indexed citations
10.
Dietz, Laura & Jeff Dalton. (2012). Across-Document Neighborhood Expansion: UMass at TAC KBP 2012 Entity Linking.. Theory and applications of categories. 5 indexed citations
11.
Dalton, Jeff & Laura Dietz. (2012). Bi-directional Linkability From Wikipedia to Documents and Back Again: UMass at TREC 2012 Knowledge Base Acceleration Track. Text REtrieval Conference. 9 indexed citations
12.
Komenda, Antonín, Jiří Vokřínek, Michal Pěchouček, et al.. (2009). Distributed planning and coordination in non-deterministic environments. Adaptive Agents and Multi-Agents Systems. 1401–1402. 2 indexed citations
13.
Komenda, Antonín, Jiří Vokřínek, Michal Pěchouček, et al.. (2009). AAMAS '09 Proceedings of The 8th International Conference on Autonomous Agents and Multiagent Systems. Adaptive Agents and Multi-Agents Systems. 42 indexed citations
14.
Tate, Austin, et al.. (2004). PROCEEDINGS OF THE NINETEENTH NATIONAL CONFERENCE ON ARTIFICIAL INTELLIGENCE. National Conference on Artificial Intelligence. 44 indexed citations
15.
Tate, Austin, et al.. (2004). Intelligent agents for coalition search and rescue task support. ERA. 1038–1039. 7 indexed citations
16.
Bond, Alyson J., et al.. (2003). Buspirone decreases physiological reactivity to unconditioned and conditioned aversive stimuli. Psychopharmacology. 165(3). 291–295. 12 indexed citations
17.
Tate, Austin, John Levine, Peter Jarvis, & Jeff Dalton. (2000). Using AI Planning Technology for Army small unit operations. 379–386. 20 indexed citations
18.
Tate, Austin, Jeff Dalton, & John Levine. (1998). Generation of multiple qualitatively different plan options. 27–35. 28 indexed citations
19.
Tate, Austin, et al.. (1994). The use of condition types to restrict search in an AI planner. National Conference on Artificial Intelligence. 1129–1134. 14 indexed citations
20.
Padget, Julián, Giuseppe Attardi, Thomas Christaller, et al.. (1986). Towards a LISP standard. European Conference on Artificial Intelligence. 46–52. 2 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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