Mark Andrews

2.2k total citations · 1 hit paper
21 papers, 1.2k citations indexed

About

Mark Andrews is a scholar working on Cognitive Neuroscience, Artificial Intelligence and Experimental and Cognitive Psychology. According to data from OpenAlex, Mark Andrews has authored 21 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Cognitive Neuroscience, 7 papers in Artificial Intelligence and 7 papers in Experimental and Cognitive Psychology. Recurrent topics in Mark Andrews's work include Topic Modeling (5 papers), Action Observation and Synchronization (4 papers) and Language, Metaphor, and Cognition (4 papers). Mark Andrews is often cited by papers focused on Topic Modeling (5 papers), Action Observation and Synchronization (4 papers) and Language, Metaphor, and Cognition (4 papers). Mark Andrews collaborates with scholars based in United Kingdom, Australia and United States. Mark Andrews's co-authors include Gabriella Vigliocco, David Vinson, Stavroula Kousta, Elena Campo, Lotte Meteyard, Stefan L. Frank, Douglas Noffsinger, Suvobrata Mitra, Gary Jones and Caroline F. Rowland and has published in prestigious journals such as Psychological Review, Scientific Reports and Experimental Brain Research.

In The Last Decade

Mark Andrews

20 papers receiving 1.2k citations

Hit Papers

The representation of abstract words: Why emotion matters. 2010 2026 2015 2020 2010 100 200 300 400 500
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. The representation of abstract words: Why emotion matters.
    2010 540 citations Stavroula Kousta, Gabriella Vigliocco et al. Journal of Experimental Psychology General profile →

Peers

Mark Andrews
George S. Cree Canada
Eiling Yee United States
Carolin Dudschig Germany
Thomas A. Farmer United States
James S. Adelman United Kingdom
Luca L. Bonatti Spain
Arnaud Rey France
Fermı́n Moscoso del Prado Martı́n United States
Karen Olseth Solomon United States
Hugh Rabagliati United Kingdom
George S. Cree Canada
Mark Andrews
Citations per year, relative to Mark Andrews Mark Andrews (= 1×) peers George S. Cree

Countries citing papers authored by Mark Andrews

Since Specialization
Citations

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

Fields of papers citing papers by Mark Andrews

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mark Andrews

This figure shows the co-authorship network connecting the top 25 collaborators of Mark Andrews. A scholar is included among the top collaborators of Mark Andrews 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 Andrews. Mark Andrews 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.
Andrews, Mark, et al.. (2024). A drift diffusion model analysis of age-related impact on multisensory decision-making processes. Scientific Reports. 14(1). 14895–14895. 4 indexed citations
2.
Mitra, Suvobrata, et al.. (2022). Age-related asymmetry in anticipatory postural movements during unilateral arm movement and imagery. Experimental Brain Research. 240(9). 2435–2457. 1 indexed citations
3.
4.
Mitra, Suvobrata, et al.. (2020). Age-related differences in postural adjustments during limb movement and motor imagery in young and older adults. Experimental Brain Research. 238(4). 771–787. 5 indexed citations
5.
Andrews, Mark, Stefan L. Frank, & Gabriella Vigliocco. (2014). Reconciling Embodied and Distributional Accounts of Meaning in Language. Topics in Cognitive Science. 6(3). 359–370. 76 indexed citations
6.
Vinson, David, Mark Andrews, & Gabriella Vigliocco. (2013). Giving Words Meaning. Oxford University Press eBooks. 3 indexed citations
7.
Andrews, Mark. (2013). Probabilistic Language Modeling with Hidden Stochastic Automata. Cognitive Science. 35(35).
8.
Andrews, Mark & Gabriella Vigliocco. (2010). The Hidden Markov Topic Model: A Probabilistic Model of Semantic Representation. Topics in Cognitive Science. 2(1). 101–113. 35 indexed citations
9.
Kousta, Stavroula, Gabriella Vigliocco, David Vinson, Mark Andrews, & Elena Campo. (2010). The representation of abstract words: Why emotion matters.. Journal of Experimental Psychology General. 140(1). 14–34. 540 indexed citations breakdown →
10.
Andrews, Mark & Gabriella Vigliocco. (2009). Learning Semantic Representations with Hidden Markov Topics Models. eScholarship (California Digital Library). 31(31). 2 indexed citations
11.
Andrews, Mark, Gabriella Vigliocco, & David Vinson. (2009). Integrating experiential and distributional data to learn semantic representations.. Psychological Review. 116(3). 463–498. 298 indexed citations
12.
Vigliocco, Gabriella, Lotte Meteyard, Mark Andrews, & Stavroula Kousta. (2009). Toward a theory of semantic representation. Language and Cognition. 1(2). 219–247. 236 indexed citations
13.
Andrews, Mark, Stavroula Kousta, Gabriella Vigliocco, & David Vinson. (2009). Happiness is… an abstract word: The role of affect in abstract knowledge representation. eScholarship (California Digital Library). 31(31). 10 indexed citations
14.
Andrews, Mark, David Vinson, & Gabriella Vigliocco. (2008). Inferring a probabilistic model of semantic memory from word association norms. UCL Discovery (University College London). 4 indexed citations
15.
Andrews, Mark, Gabriella Vigliocco, & David Vinson. (2007). Evaluating the Contribution of Intra-Linguistic and Extra-Linguistic Data to the Structure of Human Semantic Representations. eScholarship (California Digital Library). 29(29). 720–6. 2 indexed citations
16.
Andrews, Mark, et al.. (2005). The Role of Attributional and Distributional Information in Semantic Representation. eScholarship (California Digital Library). 27(27). 4 indexed citations
17.
Andrews, Mark. (2001). The Processing & Recognition of Symbol Sequences. Proceedings of the Annual Meeting of the Cognitive Science Society. 23(23). 1 indexed citations
18.
Spivey, Michael J., Mark Andrews, & Daniel C. Richardson. (1999). On computational and behavioral evidence regarding Hebbian transcortical cell assemblies. Behavioral and Brain Sciences. 22(2). 302–302. 1 indexed citations
19.
Noffsinger, Douglas, et al.. (1996). Dichotic listening to speech: VA-CD data from elderly subjects.. PubMed. 7(1). 49–56. 14 indexed citations
20.
Andrews, Mark. (1987). Formalist Dogmatisms, Derridean Questioning, and the Return of Affect: Towards a Distributed Reading of Triptyque. ˜L'œesprit créateur. 27(4). 37–47. 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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