Mark A. Finlayson

919 total citations
63 papers, 477 citations indexed

About

Mark A. Finlayson is a scholar working on Artificial Intelligence, Literature and Literary Theory and Signal Processing. According to data from OpenAlex, Mark A. Finlayson has authored 63 papers receiving a total of 477 indexed citations (citations by other indexed papers that have themselves been cited), including 46 papers in Artificial Intelligence, 9 papers in Literature and Literary Theory and 4 papers in Signal Processing. Recurrent topics in Mark A. Finlayson's work include Topic Modeling (36 papers), Natural Language Processing Techniques (29 papers) and Advanced Text Analysis Techniques (9 papers). Mark A. Finlayson is often cited by papers focused on Topic Modeling (36 papers), Natural Language Processing Techniques (29 papers) and Advanced Text Analysis Techniques (9 papers). Mark A. Finlayson collaborates with scholars based in United States, Spain and France. Mark A. Finlayson's co-authors include Ashraf Ayoub, Patrick Henry Winston, Samira Zad, Ilke Öztekin, Anthony Steven Dick, Paulo A. Graziano, Joshua D. Eisenberg, Whitman Richards, Scott Barb and Kymberly D. Young and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and European Journal of Neuroscience.

In The Last Decade

Mark A. Finlayson

57 papers receiving 428 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mark A. Finlayson United States 14 287 40 40 38 34 63 477
Stéfan Sinclair Canada 8 122 0.4× 29 0.7× 64 1.6× 45 1.2× 30 0.9× 47 303
Allison Koenecke United States 6 228 0.8× 45 1.1× 8 0.2× 25 0.7× 19 0.6× 20 518
Andrew Nam United States 5 224 0.8× 37 0.9× 8 0.2× 24 0.6× 21 0.6× 10 431
Valdemar Danry United States 8 106 0.4× 40 1.0× 8 0.2× 29 0.8× 41 1.2× 19 364
Katharina Weitz Germany 9 211 0.7× 19 0.5× 5 0.1× 45 1.2× 27 0.8× 23 431
William Raffe Australia 11 124 0.4× 104 2.6× 7 0.2× 27 0.7× 16 0.5× 37 334
Zion Mengesha United States 4 259 0.9× 42 1.1× 9 0.2× 28 0.7× 18 0.5× 7 441
Hillol Sarker United States 8 46 0.2× 33 0.8× 13 0.3× 37 1.0× 45 1.3× 15 416
Qinmei Xu China 11 315 1.1× 43 1.1× 2 0.1× 37 1.0× 25 0.7× 37 703
Sze-Meng Jojo Wong Australia 12 410 1.4× 29 0.7× 4 0.1× 97 2.6× 50 1.5× 16 611

Countries citing papers authored by Mark A. Finlayson

Since Specialization
Citations

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

Fields of papers citing papers by Mark A. Finlayson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mark A. Finlayson. 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 Mark A. Finlayson. The network helps show where Mark A. Finlayson may publish in the future.

Co-authorship network of co-authors of Mark A. Finlayson

This figure shows the co-authorship network connecting the top 25 collaborators of Mark A. Finlayson. A scholar is included among the top collaborators of Mark A. Finlayson 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 Mark A. Finlayson. Mark A. Finlayson 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.
Acharya, Anurag, et al.. (2024). Discovering Implicit Meanings of Cultural Motifs from Text. 46–56. 1 indexed citations
2.
Öztekin, Ilke, Dea Garic, Mohammadreza Bayat, et al.. (2022). Structural and diffusion‐weighted brain imaging predictors of attention‐deficit/hyperactivity disorder and its symptomology in very young (4‐ to 7‐year‐old) children. European Journal of Neuroscience. 56(12). 6239–6257. 4 indexed citations
3.
Finlayson, Mark A., et al.. (2020). Evaluating Information Loss in Temporal Dependency Trees.. Language Resources and Evaluation. 2148–2156. 1 indexed citations
4.
Finlayson, Mark A., et al.. (2019). Detecting Subevents using Discourse and Narrative Features. 4780–4790. 21 indexed citations
5.
Eisenberg, Joshua D. & Mark A. Finlayson. (2019). Annotation Guideline No. 1: Narrative Boundaries Annotation Guide. SHILAP Revista de lepidopterología. 4(3).
6.
Finlayson, Mark A., et al.. (2018). Appropriateness and feasibility of legal personhood for AI systems. 3 indexed citations
7.
Gao, Tian, et al.. (2018). Identifying the Discourse Function of News Article Paragraphs. International Conference on Computational Linguistics. 25–33. 15 indexed citations
8.
Finlayson, Mark A., et al.. (2018). A New Approach to Animacy Detection. International Conference on Computational Linguistics. 1–12. 12 indexed citations
9.
Finlayson, Mark A., et al.. (2017). Building on Word Animacy to Determine Coreference Chain Animacy in Cultural Narratives. Proceedings of the AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment. 13(2). 198–203. 1 indexed citations
10.
Dominey, Peter Ford, et al.. (2017). Dynamic Construction Grammar and Steps Towards the Narrative Construction of Meaning.. National Conference on Artificial Intelligence. 6 indexed citations
11.
Finlayson, Mark A., et al.. (2014). Computational Models of Narrative: Using Artificial Intelligence to Operationalize Russian Formalist and French Structuralist Theories.. DH. 1 indexed citations
12.
Finlayson, Mark A., Jeffry R. Halverson, & Steven R. Corman. (2014). The N2 corpus: A semantically annotated collection of Islamist extremist stories. Language Resources and Evaluation. 896–902. 12 indexed citations
13.
Finlayson, Mark A.. (2014). Java Libraries for Accessing the Princeton Wordnet: Comparison and Evaluation. 78–85. 45 indexed citations
14.
Finlayson, Mark A., Dedre Gentner, Richard J. Gerrig, et al.. (2013). Computational and Cognitive Aspects of Narrative. Cognitive Science. 35(35). 81–82. 1 indexed citations
15.
Finlayson, Mark A., et al.. (2011). Detecting Multi-Word Expressions Improves Word Sense Disambiguation. Meeting of the Association for Computational Linguistics. 20–24. 18 indexed citations
16.
Finlayson, Mark A.. (2010). Computational models of narrative : papers from the AAAI Fall Symposium. 2 indexed citations
17.
Hervás, Raquel & Mark A. Finlayson. (2010). The Prevalence of Descriptive Referring Expressions in News and Narrative. DSpace@MIT (Massachusetts Institute of Technology). 49–54. 7 indexed citations
18.
Finlayson, Mark A., Pablo Gervás, Erik T. Mueller, Srini Narayanan, & Patrick Henry Winston. (2010). Preface: Computational Models of Narrative. National Conference on Artificial Intelligence. 2 indexed citations
19.
Finlayson, Mark A. & Patrick Henry Winston. (2005). Intermediate Features and Informational-level Constraint on Analogical Retrieval. eScholarship (California Digital Library). 27(27). 5 indexed citations
20.
Finlayson, Mark A. & Patrick Henry Winston. (2004). A Model of Analogical Retrieval Using Intermediate Features. eScholarship (California Digital Library). 26(26). 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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