Marc Tomlinson

442 citations
27 papers · 231 indexed · h-index 9

Marc Tomlinson

26 papers receiving 189 citations

Peers

Marc Tomlinson
Comparison fields: 5 of 35
  • Experimental and Cognitive Psychology 102
  • Artificial Intelligence 156
  • Developmental and Educational Psychology 52
  • Language and Linguistics 34
  • Communication 16
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Countries citing papers authored by Marc Tomlinson

Since Specialization
Citations

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

Fields of papers citing papers by Marc Tomlinson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 17 scholars most cited alongside Marc Tomlinson, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Marc Tomlinson Line = papers co-authored together Marc Tomlinson links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1
Modeling Procedural State Changes over Time with Probabilistic Soft Logic.
20201
2
Introducing the LCC Metaphor Datasets.
201617
3
Populating a Knowledge Base with Information about Events.
20153
4
Cross-lingual Semantic Generalization for the Detection of Metaphor.
20155
5
A Novel Distributional Approach to Multilingual Conceptual Metaphor Recognition
201411
6
Semi-supervised methods for expanding psycholinguistics norms by integrating distributional similarity with the structure of WordNet
20146
7
#mygoal: Finding Motivations on Twitter
20142
8
Capturing Cultural Differences in Expressions of Intentions
20142
9 20133
10 20131
11
The Language of Power and its Cultural Influence
20124
12
Pursing power in Arabic on-line discussion forums
20128
13
Annotation of Adversarial and Collegial Social Actions in Discourse
201211
14
Identification of Social Acts in Dialogue
20125
15
Becoming a gamer : cognitive effects of real-time strategy gaming
20112
16 201015
17 201033
18
Predicting Information Needs: Adaptive Display in Dynamic Environments
20082
19
Relation-Based Categories are Easier to Learn than Feature-Based Categories
20072
20
From pigeons to humans: grounding relational learning in concrete examples
200613

About Marc Tomlinson

Marc Tomlinson is a scholar working on Experimental and Cognitive Psychology, Artificial Intelligence and Communication, having authored 27 papers that have together received 231 indexed citations. Recurring topics across this work include Language, Metaphor, and Cognition (11 papers), Natural Language Processing Techniques (7 papers), Topic Modeling (6 papers), Advanced Text Analysis Techniques (6 papers), Child and Animal Learning Development (5 papers), Speech and dialogue systems (3 papers), Sentiment Analysis and Opinion Mining (3 papers) and Language, Discourse, Communication Strategies (3 papers). The work is most often cited by research in Experimental and Cognitive Psychology (102 citations), Artificial Intelligence (156 citations) and Developmental and Educational Psychology (52 citations). Marc Tomlinson has collaborated with scholars based in United States, South Korea and United Kingdom. Frequent co-authors include David B. Bracewell, Michael Mohler, Bradley C. Love, Bryan Rink, Catharine H. Echols, Micah B. Goldwater, Hui Wang, Hui Wang, Ying Shi and W. Todd Maddox. Their work appears in journals such as Cognitive Science, Language Resources and Evaluation and Journal of Research in Reading.

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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