Jonathan Dunn

981 citations
54 papers · 491 indexed · h-index 12

Impact in

Papers in

Jonathan Dunn

50 papers receiving 417 citations

Peers

Jonathan Dunn
Comparison fields: 5 of 87
  • General Psychology 29
  • Experimental and Cognitive Psychology 114
  • Language and Linguistics 49
  • Linguistics and Language 21
  • Clinical Psychology 90
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Citations per field
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Citations per year

Countries citing papers authored by Jonathan Dunn

Since Specialization
Citations

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

Fields of papers citing papers by Jonathan Dunn

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Jonathan Dunn, 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 Jonathan Dunn Line = papers co-authored together Jonathan Dunn links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 54 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Intersubjectivity in psychoanalysis: a critical review.
199574
2 199049
3 199841
4
What metaphor identification systems can tell us about metaphor-in-language
201327
5 201622
6 200619
7 200717
8 202217
9 201516
10 201015
11 199415
12 201314
13 201410
14 19919
15 19919
16 20208
17
Geographically-Balanced Gigaword Corpora for 50 Language Varieties.
20207
18 20247
19 19917
20 20227

About Jonathan Dunn

Jonathan Dunn is a scholar working on Artificial Intelligence, Electrical and Electronic Engineering, Experimental and Cognitive Psychology, Atomic and Molecular Physics, and Optics and Linguistics and Language, having authored 54 papers that have together received 491 indexed citations. Recurring topics across this work include Natural Language Processing Techniques (16 papers), Language, Metaphor, and Cognition (9 papers), Speech and dialogue systems (7 papers), Linguistic Variation and Morphology (7 papers), Electromagnetic Compatibility and Noise Suppression (7 papers), Authorship Attribution and Profiling (6 papers), Electromagnetic Simulation and Numerical Methods (6 papers) and Electromagnetic Scattering and Analysis (6 papers). The work is most often cited by research in General Psychology (29 citations), Experimental and Cognitive Psychology (114 citations), Language and Linguistics (49 citations), Linguistics and Language (21 citations) and Clinical Psychology (90 citations). Jonathan Dunn has collaborated with scholars based in United States, New Zealand and Israel. Frequent co-authors include Gregory Beylkin, Benjamin Adams, Andreas Weisshaar, Stephen Ruedrich, Edward F. Kuester, Lena Nordgren, Richard C. Booton, D.C. Chang, Tom Coupé and Shlomo Argamon. Their work appears in journals such as IEEE Transactions on Microwave Theory and Techniques, Metaphor and Symbol, IEEE Transactions on Antennas and Propagation, Cognitive Linguistics and Journal of Lightwave Technology.

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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