Dan Gillick

1.5k total citations
16 papers, 720 citations indexed

About

Dan Gillick is a scholar working on Artificial Intelligence, Signal Processing and Sociology and Political Science. According to data from OpenAlex, Dan Gillick has authored 16 papers receiving a total of 720 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Artificial Intelligence, 4 papers in Signal Processing and 1 paper in Sociology and Political Science. Recurrent topics in Dan Gillick's work include Natural Language Processing Techniques (12 papers), Topic Modeling (10 papers) and Speech and dialogue systems (5 papers). Dan Gillick is often cited by papers focused on Natural Language Processing Techniques (12 papers), Topic Modeling (10 papers) and Speech and dialogue systems (5 papers). Dan Gillick collaborates with scholars based in United States and Germany. Dan Gillick's co-authors include Benoît Favre, Dan Klein, Taylor Berg-Kirkpatrick, Cliff Brunk, Oriol Vinyals, Amarnag Subramanya, Yang Liu, Dilek Hakkani‐Tür, Korbinian Riedhammer and John DeNero and has published in prestigious journals such as Meeting of the Association for Computational Linguistics and National Conference on Artificial Intelligence.

In The Last Decade

Dan Gillick

16 papers receiving 639 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Dan Gillick United States 12 666 66 61 58 27 16 720
Fumiyo Fukumoto Japan 10 331 0.5× 42 0.6× 113 1.9× 29 0.5× 18 0.7× 62 393
Stephen Tratz United States 12 370 0.6× 38 0.6× 35 0.6× 14 0.2× 33 1.2× 33 430
Mark Sammons United States 13 583 0.9× 53 0.8× 57 0.9× 13 0.2× 34 1.3× 33 631
Lynda Tamine France 11 186 0.3× 44 0.7× 154 2.5× 37 0.6× 49 1.8× 44 322
Ilya Zaihrayeu Italy 7 221 0.3× 28 0.4× 123 2.0× 50 0.9× 20 0.7× 23 355
Jason Naradowsky United States 10 389 0.6× 60 0.9× 47 0.8× 34 0.6× 28 1.0× 21 437
Christian Wartena Germany 9 220 0.3× 105 1.6× 114 1.9× 34 0.6× 19 0.7× 43 353
Ahmed El-Kishky United States 12 392 0.6× 62 0.9× 109 1.8× 25 0.4× 38 1.4× 29 455
Anastasia Shimorina France 6 396 0.6× 67 1.0× 50 0.8× 16 0.3× 26 1.0× 11 478

Countries citing papers authored by Dan Gillick

Since Specialization
Citations

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

Fields of papers citing papers by Dan Gillick

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dan Gillick

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

All Works

16 of 16 papers shown
1.
Gillick, Dan, Cliff Brunk, Oriol Vinyals, & Amarnag Subramanya. (2016). Multilingual Language Processing From Bytes. 1296–1306. 112 indexed citations
2.
Gillick, Dan, Steven Wegmann, & Larry Gillick. (2012). Discriminative training for speech recognition is compensating for statistical dependence in the HMM framework. 4745–4748. 13 indexed citations
3.
Berg-Kirkpatrick, Taylor, Dan Gillick, & Dan Klein. (2011). Jointly Learning to Extract and Compress. Meeting of the Association for Computational Linguistics. 481–490. 122 indexed citations
4.
Gillick, Dan, Larry Gillick, & Steven Wegmann. (2011). Don't multiply lightly: Quantifying problems with the acoustic model assumptions in speech recognition. 14. 71–76. 17 indexed citations
5.
Blumenstock, Joshua, Dan Gillick, & Nathan Eagle. (2010). Who’s Calling? Demographics of Mobile Phone Use in Rwanda. National Conference on Artificial Intelligence. 25 indexed citations
6.
Gillick, Dan. (2010). Can conversational word usage be used to predict speaker demographics?. 1381–1384. 12 indexed citations
7.
Gillick, Dan & Yang Liu. (2010). Non-Expert Evaluation of Summarization Systems is Risky. 148–151. 43 indexed citations
8.
Gillick, Dan. (2009). Sentence boundary detection and the problem with the U.S.. 241–241. 56 indexed citations
9.
Gillick, Dan, Korbinian Riedhammer, Benoît Favre, & Dilek Hakkani‐Tür. (2009). A global optimization framework for meeting summarization. 4769–4772. 57 indexed citations
10.
Gillick, Dan & Benoît Favre. (2009). A scalable global model for summarization. 10–18. 169 indexed citations
11.
Riedhammer, Korbinian, Dan Gillick, Benoît Favre, & Dilek Hakkani‐Tür. (2008). Packing the meeting summarization knapsack. 2434–2437. 22 indexed citations
12.
Gillick, Dan, Dilek Hakkani‐Tür, & Michael Levit. (2008). Unsupervised learning of edit parameters for matching name variants. 467–470. 2 indexed citations
13.
14.
Gillick, Dan, et al.. (2006). Speaker Detection Without Models. 1. 757–760. 3 indexed citations
15.
DeNero, John, Dan Gillick, James Zhang, & Dan Klein. (2006). Why generative phrase models underperform surface heuristics. 31–31. 59 indexed citations
16.
Mirghafori, Nikki, et al.. (2005). ICSI'S 2005 speaker recognition system. 15. 23–28. 1 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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