Elizabeth D. Liddy

2.4k total citations
90 papers, 1.5k citations indexed

About

Elizabeth D. Liddy is a scholar working on Artificial Intelligence, Information Systems and Molecular Biology. According to data from OpenAlex, Elizabeth D. Liddy has authored 90 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 57 papers in Artificial Intelligence, 24 papers in Information Systems and 5 papers in Molecular Biology. Recurrent topics in Elizabeth D. Liddy's work include Natural Language Processing Techniques (39 papers), Topic Modeling (38 papers) and Advanced Text Analysis Techniques (14 papers). Elizabeth D. Liddy is often cited by papers focused on Natural Language Processing Techniques (39 papers), Topic Modeling (38 papers) and Advanced Text Analysis Techniques (14 papers). Elizabeth D. Liddy collaborates with scholars based in United States, United Kingdom and Japan. Elizabeth D. Liddy's co-authors include Woojin Paik, Anne R. Diekema, Özgür Yılmazel, Victoria L. Rubin, Mary C. McKenna, Helene Hembrooke, Laura Granka, Anne M. Turner, Jeffrey M. Stanton and Sung Hyon Myaeng and has published in prestigious journals such as Communications of the ACM, Information Processing & Management and ACM Transactions on Information Systems.

In The Last Decade

Elizabeth D. Liddy

86 papers receiving 1.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Elizabeth D. Liddy United States 18 1.0k 477 86 84 72 90 1.5k
Efthimis N. Efthimiadis United States 16 457 0.5× 643 1.3× 66 0.8× 113 1.3× 127 1.8× 54 1.2k
Robert N Oddy United States 9 634 0.6× 747 1.6× 46 0.5× 80 1.0× 101 1.4× 12 1.2k
Stephen P. Harter United States 21 666 0.7× 1.1k 2.3× 62 0.7× 103 1.2× 102 1.4× 47 1.8k
Judith L. Klavans United States 25 2.0k 2.0× 428 0.9× 200 2.3× 203 2.4× 70 1.0× 110 2.4k
Tomek Strzalkowski United States 20 1.4k 1.4× 347 0.7× 57 0.7× 62 0.7× 79 1.1× 117 1.6k
Jacques Savoy Switzerland 26 1.3k 1.3× 854 1.8× 93 1.1× 138 1.6× 100 1.4× 135 1.7k
Christopher S. G. Khoo Singapore 17 979 1.0× 354 0.7× 106 1.2× 47 0.6× 202 2.8× 86 1.4k
David C. Blair United States 12 590 0.6× 507 1.1× 40 0.5× 70 0.8× 55 0.8× 16 1.1k
Jaime Gómez Spain 13 435 0.4× 774 1.6× 45 0.5× 85 1.0× 104 1.4× 36 1.2k
Joeran Beel Germany 20 854 0.9× 960 2.0× 80 0.9× 144 1.7× 133 1.8× 65 1.6k

Countries citing papers authored by Elizabeth D. Liddy

Since Specialization
Citations

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

Fields of papers citing papers by Elizabeth D. Liddy

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Elizabeth D. Liddy. 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 Elizabeth D. Liddy. The network helps show where Elizabeth D. Liddy may publish in the future.

Co-authorship network of co-authors of Elizabeth D. Liddy

This figure shows the co-authorship network connecting the top 25 collaborators of Elizabeth D. Liddy. A scholar is included among the top collaborators of Elizabeth D. Liddy 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 Elizabeth D. Liddy. Elizabeth D. Liddy 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.
Turtle, Howard R., et al.. (2016). EmoTweet-28: A fine-grained emotion corpus for sentiment analysis. Language Resources and Evaluation. 1149–1156. 21 indexed citations
2.
Liddy, Elizabeth D., et al.. (2013). Educating the Next Generation of Data Scientists. Big Data. 1(1). 21–27. 30 indexed citations
3.
Stanton, Jeffrey M., Youngseek Kim, Megan Oakleaf, et al.. (2011). Education for eScience Professionals: Job Analysis, Curriculum Guidance, and Program Considerations. Journal of Education for Library and Information Science. 52(2). 79–94. 22 indexed citations
4.
Rubin, Victoria L. & Elizabeth D. Liddy. (2006). Assessing credibility of weblogs. National Conference on Artificial Intelligence. 187–190. 37 indexed citations
5.
Liddy, Elizabeth D., et al.. (2006). Sublanguage analysis applied to trouble tickets. The Florida AI Research Society. 19(2). 752–757. 4 indexed citations
6.
Liddy, Elizabeth D., et al.. (2005). Improved Document Representation for Classification Tasks for the Intelligence Community. Syracuse University Libraries (Syracuse University). 76–82. 3 indexed citations
7.
Liddy, Elizabeth D., Noriko Kando, & Victoria L. Rubin. (2004). Certainty Categorization Model. Syracuse University Libraries (Syracuse University). 4 indexed citations
8.
Rubin, Victoria L., Jeffrey M. Stanton, & Elizabeth D. Liddy. (2004). Discerning Emotions in Texts. Syracuse University Libraries (Syracuse University). 21 indexed citations
9.
Diekema, Anne R., Özgür Yılmazel, & Elizabeth D. Liddy. (2004). Evaluation of Restricted Domain Question-Answering Systems. Meeting of the Association for Computational Linguistics. 2–7. 17 indexed citations
10.
Liddy, Elizabeth D., Eileen Allen, Christina M. Finneran, Helene Hembrooke, & Laura Granka. (2003). MetaTest: evaluation of metadata from generation to use. 398–398. 7 indexed citations
11.
Diekema, Anne R., Farhad Oroumchian, Páraic Sheridan, & Elizabeth D. Liddy. (1998). TREC-7 Evaluation of Conceptual Interlingua Document Retrieval (CINDOR) in English and French. Text REtrieval Conference. 116–127. 9 indexed citations
12.
Paik, Woojin, et al.. (1996). Categorizing and standardizing proper nouns for efficient information retrieval. MIT Press eBooks. 61–73. 27 indexed citations
13.
Liddy, Elizabeth D. & Sung-Hyon Myaeng. (1994). DR-LINK: A System Update for TREC-2. Text REtrieval Conference. 85–100. 10 indexed citations
14.
Liddy, Elizabeth D., et al.. (1994). Document retrieval using linguistic knowledge. 106–114. 5 indexed citations
15.
Liddy, Elizabeth D. & Sung Hyon Myaeng. (1993). DR-LINK's linguistic conceptual approach to document detection. Text REtrieval Conference. 113–129. 26 indexed citations
16.
Liddy, Elizabeth D., et al.. (1993). Document Filtering using Semantic Information from a Machine Readable Dictionary. Defense Technical Information Center (DTIC). 8 indexed citations
17.
Liddy, Elizabeth D., et al.. (1992). Use of Subject Field Codes from a Machine-Readable Dictionary for Automatic Classification of Documents. 3(1). 83–100. 6 indexed citations
18.
Liddy, Elizabeth D. & Sung-Hyon Myaeng. (1992). TIPSTER Panel - DR-LINK's Linguistic-Conceptual Approach to Document Detection.. Text REtrieval Conference. 113–130. 3 indexed citations
19.
Liddy, Elizabeth D., et al.. (1990). Roget's International Thesaurus: Conceptual Issues and Potential Applications. 1(1). 95–100. 3 indexed citations
20.
Liddy, Elizabeth D.. (1988). Structure of Information in Full-Text Abstracts.. 48 ( Pt 1). 183–195. 5 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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