Derrick Higgins

1.6k total citations
36 papers, 964 citations indexed

About

Derrick Higgins is a scholar working on Artificial Intelligence, Information Systems and Computer Science Applications. According to data from OpenAlex, Derrick Higgins has authored 36 papers receiving a total of 964 indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Artificial Intelligence, 6 papers in Information Systems and 3 papers in Computer Science Applications. Recurrent topics in Derrick Higgins's work include Natural Language Processing Techniques (17 papers), Topic Modeling (13 papers) and Speech and dialogue systems (7 papers). Derrick Higgins is often cited by papers focused on Natural Language Processing Techniques (17 papers), Topic Modeling (13 papers) and Speech and dialogue systems (7 papers). Derrick Higgins collaborates with scholars based in United States, Serbia and Austria. Derrick Higgins's co-authors include Klaus Zechner, Xiaoming Xi, David M. Williamson, Jill Burstein, Martin Chodorow, Aoife Cahill, Joel Tetreault, Daniel Blanchard, Daniel Marcu and Claudia Gentile and has published in prestigious journals such as Psychological Assessment, Computational Linguistics and Speech Communication.

In The Last Decade

Derrick Higgins

36 papers receiving 831 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Derrick Higgins United States 17 751 178 131 102 89 36 964
Menno van Zaanen Netherlands 12 482 0.6× 78 0.4× 53 0.4× 68 0.7× 64 0.7× 88 703
C. Brew United States 19 821 1.1× 129 0.7× 83 0.6× 81 0.8× 31 0.3× 64 1.0k
Sandra Maria Aluísio Brazil 16 666 0.9× 105 0.6× 76 0.6× 35 0.3× 18 0.2× 97 857
Ornella Mich Italy 12 124 0.2× 63 0.4× 93 0.7× 78 0.8× 93 1.0× 39 735
Chee Wee Leong United States 16 413 0.5× 50 0.3× 55 0.4× 25 0.2× 37 0.4× 46 683
Erin Shaw United States 13 451 0.6× 115 0.6× 231 1.8× 116 1.1× 6 0.1× 35 779
Aoife Cahill United States 20 1.2k 1.6× 145 0.8× 46 0.4× 54 0.5× 22 0.2× 66 1.3k
Maxim Mozgovoy Japan 12 241 0.3× 141 0.8× 79 0.6× 50 0.5× 42 0.5× 50 464
Lonneke van der Plas Malta 11 992 1.3× 119 0.7× 87 0.7× 8 0.1× 43 0.5× 45 1.2k
Marie Meteer United States 16 1.3k 1.8× 97 0.5× 42 0.3× 10 0.1× 74 0.8× 33 1.5k

Countries citing papers authored by Derrick Higgins

Since Specialization
Citations

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

Fields of papers citing papers by Derrick Higgins

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Derrick Higgins

This figure shows the co-authorship network connecting the top 25 collaborators of Derrick Higgins. A scholar is included among the top collaborators of Derrick Higgins 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 Derrick Higgins. Derrick Higgins 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.
Higgins, Derrick, et al.. (2016). An Unsupervised System for Visual Exploration of Twitter Conversations. 60–65. 1 indexed citations
2.
Blanchard, Daniel, Joel Tetreault, Derrick Higgins, Aoife Cahill, & Martin Chodorow. (2013). TOEFL11: A Corpus of Non-Native English. Research Report. ETS RR-13-24.. ETS Research Report Series. 2 indexed citations
3.
Dyer, Chris & Derrick Higgins. (2013). Proceedings of the 2013 NAACL HLT Demonstration Session. North American Chapter of the Association for Computational Linguistics. 5 indexed citations
4.
Klebanov, Beata Beigman & Derrick Higgins. (2012). Measuring the Use of Factual Information in Test-Taker Essays. North American Chapter of the Association for Computational Linguistics. 63–72. 4 indexed citations
5.
Yoon, Su‐Youn & Derrick Higgins. (2011). Non-English Response Detection Method for Automated Proficiency Scoring System. 161–169. 5 indexed citations
6.
Evanini, Keelan, Derrick Higgins, & Klaus Zechner. (2010). Using Amazon Mechanical Turk for Transcription of Non-Native Speech. North American Chapter of the Association for Computational Linguistics. 53–56. 32 indexed citations
7.
Stankov, Lazar, Derrick Higgins, Gerard Saucier, & Goran Knežević. (2010). Contemporary militant extremism: A linguistic approach to scale development.. Psychological Assessment. 22(2). 246–258. 33 indexed citations
8.
Quinlan, Thomas, Derrick Higgins, & Susanne Wolff. (2009). Evaluating the Construct-Coverage of the e-rater[R] Scoring Engine. Research Report. ETS RR-09-01.. 21 indexed citations
9.
Quinlan, Thomas, Derrick Higgins, & Susanne Wolff. (2009). EVALUATING THE CONSTRUCT‐COVERAGE OF THE E‐RATER® SCORING ENGINE. ETS Research Report Series. 2009(1). 41 indexed citations
10.
Xi, Xiaoming, Derrick Higgins, Klaus Zechner, & David M. Williamson. (2008). Automated Scoring of Spontaneous Speech Using SpeechRater? v1.0. Research Report. ETS RR-08-62.. ETS Research Report Series. 16 indexed citations
11.
Zechner, Klaus, Derrick Higgins, & Xiaoming Xi. (2007). Speechrater™: a construct-driven approach to scoring spontaneous non-native speech. 128–131. 21 indexed citations
12.
Deane, Paul, et al.. (2006). Model Analysis and Model Creation: Capturing the Task-Model Structure of Quantitative Item Domains. Research Report. ETS RR-06-11.. ETS Research Report Series. 6 indexed citations
13.
Higgins, Derrick, et al.. (2005). Multilingual Generalization of the ModelCreator Software for Math Item Generation. Research Report. ETS RR-05-02.. ETS Research Report Series. 6 indexed citations
14.
Burstein, Jill & Derrick Higgins. (2005). Advanced Capabilities for Evaluating Student Writing: Detecting Off-Topic Essays Without Topic-Specific Training. 112–119. 5 indexed citations
15.
Higgins, Derrick. (2004). A transformation-based approach to argument labeling. 114–117. 4 indexed citations
16.
Higgins, Derrick, Jill Burstein, Daniel Marcu, & Claudia Gentile. (2004). Evaluating Multiple Aspects of Coherence in Student Essays. North American Chapter of the Association for Computational Linguistics. 185–192. 102 indexed citations
17.
Higgins, Derrick & Jerrold M. Sadock. (2003). A Machine Learning Approach to Modeling Scope Preferences. Computational Linguistics. 29(1). 73–96. 17 indexed citations
18.
Higgins, Derrick. (2002). A multi-modular approach to model selection in statistical natural language processing. Medical Entomology and Zoology. 1 indexed citations
19.
Higgins, Derrick. (1998). Parsing parallel grammatical representations. 1. 545–545. 1 indexed citations
20.
Hanrahan, Lawrence P., Derrick Higgins, Lisa S. Haskins, & Henry A. Anderson. (1992). Project FACE: Wisconsin surveillance of fatal occupational injuries. Fatal Accident Circumstances and Epidemiology.. PubMed. 91(1). 43–6. 3 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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