Andrew S. Gordon

2.2k total citations
94 papers, 1.0k citations indexed

About

Andrew S. Gordon is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Information Systems. According to data from OpenAlex, Andrew S. Gordon has authored 94 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 59 papers in Artificial Intelligence, 17 papers in Computer Vision and Pattern Recognition and 15 papers in Information Systems. Recurrent topics in Andrew S. Gordon's work include Topic Modeling (25 papers), Natural Language Processing Techniques (20 papers) and Semantic Web and Ontologies (15 papers). Andrew S. Gordon is often cited by papers focused on Topic Modeling (25 papers), Natural Language Processing Techniques (20 papers) and Semantic Web and Ontologies (15 papers). Andrew S. Gordon collaborates with scholars based in United States, United Kingdom and Netherlands. Andrew S. Gordon's co-authors include Melissa Roemmele, Reid Swanson, Cosmin A. Bejan, Kenji Sagae, Jerry R. Hobbs, Zornitsa Kozareva, Rick O. Gilmore, Mary Helen Immordino‐Yang, Morteza Dehghani and Jonas Kaplan and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Cerebral Cortex.

In The Last Decade

Andrew S. Gordon

82 papers receiving 945 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Andrew S. Gordon United States 16 738 205 103 102 82 94 1.0k
Pablo Gervás Spain 17 853 1.2× 213 1.0× 172 1.7× 46 0.5× 131 1.6× 119 1.1k
Mariët Theune Netherlands 19 950 1.3× 162 0.8× 131 1.3× 53 0.5× 85 1.0× 122 1.3k
Jichen Zhu United States 15 452 0.6× 110 0.5× 182 1.8× 148 1.5× 38 0.5× 74 804
Lonneke van der Plas Malta 11 992 1.3× 93 0.5× 41 0.4× 87 0.9× 119 1.5× 45 1.2k
Kenji Sagae United States 27 1.9k 2.5× 190 0.9× 113 1.1× 147 1.4× 125 1.5× 96 2.3k
Dongwook Yoon Canada 15 250 0.3× 113 0.6× 119 1.2× 83 0.8× 121 1.5× 51 896
Charles Callaway United Kingdom 14 529 0.7× 156 0.8× 172 1.7× 99 1.0× 62 0.8× 44 994
Fiorella de Rosis Italy 18 474 0.6× 103 0.5× 113 1.1× 51 0.5× 81 1.0× 48 864
Zoraida Callejas Spain 19 743 1.0× 140 0.7× 79 0.8× 32 0.3× 109 1.3× 97 1.3k
David Griol Spain 17 705 1.0× 118 0.6× 88 0.9× 31 0.3× 115 1.4× 96 1.1k

Countries citing papers authored by Andrew S. Gordon

Since Specialization
Citations

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

Fields of papers citing papers by Andrew S. Gordon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Andrew S. Gordon. 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 Andrew S. Gordon. The network helps show where Andrew S. Gordon may publish in the future.

Co-authorship network of co-authors of Andrew S. Gordon

This figure shows the co-authorship network connecting the top 25 collaborators of Andrew S. Gordon. A scholar is included among the top collaborators of Andrew S. Gordon 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 Andrew S. Gordon. Andrew S. Gordon 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
2.
Gordon, Andrew S., et al.. (2017). Unsupervised Text Classification for Natural Language Interactive Narratives. Proceedings of the AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment. 13(2). 162–168. 2 indexed citations
3.
Gordon, Andrew S., et al.. (2017). "The Long Walk" From Linear Film to Interactive Narrative. Proceedings of the AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment. 13(2). 225–231. 1 indexed citations
4.
Treanor, Mike, M. J. Reed, Adam M. Smith, et al.. (2017). Playable Experiences at AIIDE 2017. Proceedings of the AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment. 13(1). 308–314. 1 indexed citations
5.
Roemmele, Melissa, et al.. (2015). One Hundred Challenge Problems for Logical Formalizations of Commonsense Psychology.. National Conference on Artificial Intelligence. 6 indexed citations
6.
Gordon, Andrew S., Zornitsa Kozareva, & Melissa Roemmele. (2012). SemEval-2012 Task 7: Choice of Plausible Alternatives: An Evaluation of Commonsense Causal Reasoning. Joint Conference on Lexical and Computational Semantics. 394–398. 52 indexed citations
7.
Gordon, Andrew S. & Jerry R. Hobbs. (2011). A Commonsense Theory of Mind-Body Interaction. National Conference on Artificial Intelligence. 5 indexed citations
8.
Roemmele, Melissa, Cosmin A. Bejan, & Andrew S. Gordon. (2011). Choice of Plausible Alternatives: An Evaluation of Commonsense Causal Reasoning. National Conference on Artificial Intelligence. 165 indexed citations
9.
Gerber, Matthew S., Andrew S. Gordon, & Kenji Sagae. (2010). Open-domain Commonsense Reasoning Using Discourse Relations from a Corpus of Weblog Stories. North American Chapter of the Association for Computational Linguistics. 43–51. 6 indexed citations
10.
Swanson, Reid, Elaine Chew, & Andrew S. Gordon. (2008). Supporting Musical Creativity with Unsupervised Syntactic Parsing.. National Conference on Artificial Intelligence. 95–101. 2 indexed citations
11.
Swanson, Reid, et al.. (2008). Learning a Probabilistic Model of Event Sequences From Internet Weblog Stories. The Florida AI Research Society. 159–164. 34 indexed citations
12.
Swanson, Reid & Andrew S. Gordon. (2005). Automated Commonsense Reasoning About Human Memory. Defense Technical Information Center (DTIC). 114–119. 1 indexed citations
13.
Gordon, Andrew S., et al.. (2004). Branching storylines in virtual reality environments for leadership development. Defense Technical Information Center (DTIC). 844–851. 31 indexed citations
14.
Gordon, Andrew S.. (2004). Authoring branching storylines for training applications. International Conference of Learning Sciences. 230–237. 18 indexed citations
15.
Gordon, Andrew S. & Jerry R. Hobbs. (2003). Coverage and Competency in Formal Theories: A Commonsense Theory of Memory. National Conference on Artificial Intelligence. 4 indexed citations
16.
Gordon, Andrew S.. (2002). Enabling and recognizing strategic play in strategy games: Lessons from Sun Tzu. National Conference on Artificial Intelligence. 1 indexed citations
17.
Gordon, Andrew S.. (2001). Strategies in Analogous Planning Cases. eScholarship (California Digital Library). 23(23). 2 indexed citations
18.
Schank, Roger C. & Andrew S. Gordon. (1998). The design of knowledge-rich browsing interfaces for retrieval in digital libraries. 8 indexed citations
19.
Pritchard, Mary Hanson, et al.. (1996). Utilization of small pelagic fish species in Asia. Greenwich Academic Literature Archive (University of Greenwich).
20.
Domeshek, Eric A., et al.. (1996). Interactive information retrieval systems with minimalist representation. National Conference on Artificial Intelligence. 439–446. 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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