Gregory Druck

782 total citations
15 papers, 514 citations indexed

About

Gregory Druck is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Signal Processing. According to data from OpenAlex, Gregory Druck has authored 15 papers receiving a total of 514 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Artificial Intelligence, 2 papers in Computer Vision and Pattern Recognition and 2 papers in Signal Processing. Recurrent topics in Gregory Druck's work include Topic Modeling (10 papers), Machine Learning and Algorithms (7 papers) and Machine Learning and Data Classification (5 papers). Gregory Druck is often cited by papers focused on Topic Modeling (10 papers), Machine Learning and Algorithms (7 papers) and Machine Learning and Data Classification (5 papers). Gregory Druck collaborates with scholars based in United States, Portugal and Spain. Gregory Druck's co-authors include Andrew McCallum, Gideon Mann, Burr Settles, Xiaojin Zhu, Chris Pal, Andrew McCallum, Gerome Miklau, Kedar Bellare, Bo Pang and Fernando Díaz and has published in prestigious journals such as arXiv (Cornell University), Meeting of the Association for Computational Linguistics and International Conference on Artificial Intelligence and Statistics.

In The Last Decade

Gregory Druck

15 papers receiving 459 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Gregory Druck United States	9	450	91	70	32	29	15	514
Haoruo Peng United States	12	386 0.9×	62 0.7×	49 0.7×	22 0.7×	8 0.3×	21	471
Liangming Pan Singapore	10	353 0.8×	108 1.2×	69 1.0×	18 0.6×	7 0.2×	26	427
Bhavana Dalvi United States	12	352 0.8×	83 0.9×	125 1.8×	25 0.8×	11 0.4×	21	450
Yu Suzuki Japan	8	100 0.2×	32 0.4×	47 0.7×	17 0.5×	53 1.8×	32	214
Edda Leopold Germany	6	473 1.1×	61 0.7×	205 2.9×	30 0.9×	4 0.1×	12	536
Jingzhou Liu United States	7	543 1.2×	146 1.6×	96 1.4×	43 1.3×	4 0.1×	10	629
Yushun Dong United States	12	349 0.8×	57 0.6×	94 1.3×	8 0.3×	4 0.1×	25	448
Xiaobin Rui China	11	118 0.3×	31 0.3×	43 0.6×	20 0.6×	13 0.4×	24	329

Countries citing papers authored by Gregory Druck

Since Specialization

Citations

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

Fields of papers citing papers by Gregory Druck

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gregory Druck

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

All Works

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15 of 15 papers shown

Díaz, Fernando, et al.. (2014). Overview of the NTCIR-11 Cooking Recipe Search Task.. NTCIR. 7 indexed citations

Druck, Gregory & Bo Pang. (2012). Spice it up? Mining Refinements to Online Instructions from User Generated Content. Meeting of the Association for Computational Linguistics. 545–553. 10 indexed citations

Bellare, Kedar, Gregory Druck, & Andrew McCallum. (2012). Alternating Projections for Learning with Expectation Constraints. arXiv (Cornell University). 43–50. 28 indexed citations

Druck, Gregory, Kuzman Ganchev, & Joäo Graça. (2011). Rich Prior Knowledge in Learning for Natural Language Processing. Meeting of the Association for Computational Linguistics. 5–5. 2 indexed citations

Druck, Gregory & Andrew McCallum. (2011). Toward interactive training and evaluation. 947–956. 7 indexed citations

McCallum, Andrew & Gregory Druck. (2011). Generalized expectation criteria for lightly supervised learning. 8 indexed citations

Druck, Gregory & Andrew McCallum. (2010). High-Performance Semi-Supervised Learning using Discriminatively Constrained Generative Models. ScholarWorks@UMassAmherst (University of Massachusetts Amherst). 319–326. 29 indexed citations

Druck, Gregory, Gideon Mann, & Andrew McCallum. (2009). Semi-supervised learning of dependency parsers using generalized expectation criteria. 1. 360–360. 34 indexed citations

Druck, Gregory, Burr Settles, & Andrew McCallum. (2009). Active learning by labeling features. 1. 81–81. 94 indexed citations

10.

Druck, Gregory, Gerome Miklau, & Andrew McCallum. (2008). Learning to Predict the Quality of Contributions to Wikipedia. Scholarworks (University of Massachusetts Amherst). 29 indexed citations

11.

Druck, Gregory, Gideon Mann, & Andrew McCallum. (2008). Learning from labeled features using generalized expectation criteria. 595–602. 180 indexed citations

12.

Druck, Gregory, Mukund Narasimhan, & Paul Viola. (2007). Learning A* underestimates: Using inference to guide inference. International Conference on Artificial Intelligence and Statistics. 99–106. 2 indexed citations

13.

Druck, Gregory, Chris Pal, Andrew McCallum, & Xiaojin Zhu. (2007). Semi-supervised classification with hybrid generative/discriminative methods. Scholarworks (University of Massachusetts Amherst). 280–289. 50 indexed citations

14.

Druck, Gregory, Gideon Mann, & Andrew McCallum. (2007). Leveraging Existing Resources using Generalized Expectation Criteria. ScholarWorks@UMassAmherst (University of Massachusetts Amherst). 6 indexed citations

15.

McCallum, Andrew, Gideon Mann, & Gregory Druck. (2007). Generalized Expectation Criteria. 28 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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