David Reitter

3.7k citations
78 papers · 1.2k · h-index 18

Impact in

Papers in

David Reitter

72 papers receiving 1.1k citations

Peers

David Reitter
Comparison fields: 5 of 87
  • Language and Linguistics 260
  • Artificial Intelligence 680
  • Developmental and Educational Psychology 231
  • Experimental and Cognitive Psychology 213
  • Cognitive Neuroscience 298
Replace Alistair Knott with:
Alistair Knott New Zealand
Vera Demberg Germany
Henry S. Thompson United Kingdom
Kevin Lund United States
Anthony Anderson United Kingdom
Paul Deane United States
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Citations per field
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Citations per year

Countries citing papers authored by David Reitter

Since Specialization
Citations

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

Fields of papers citing papers by David Reitter

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 78 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2011205
2 2014105
3
Priming of Syntactic Rules in Task-Oriented Dialogue and Spontaneous Conversation
200687
4
Predicting Success in Dialogue
200778
5 202152
6 200651
7
Proceedings of the 2nd Workshop on Cognitive Modeling and Computational Linguistics
201136
8 200331
9 201830
10 202228
11
Step by step: underspecified markup in incremental rhetorical analysis
200325
12 201724
13 202224
14 202322
15 201722
16 201720
17
The Embra System at DUC 2005: Query-oriented Multi-document Summarization with a Very Large Latent Semantic Space
200520
18 200418
19
Accountable modeling in ACT-UP, a scalable, rapid-prototyping ACT-R implementation
201016
20 202015

About David Reitter

David Reitter is a scholar working on Artificial Intelligence, Cognitive Neuroscience, Language and Linguistics, Cultural Studies and Statistical and Nonlinear Physics, having authored 78 papers that have together received 1.2k indexed citations. Recurring topics across this work include Natural Language Processing Techniques (33 papers), Topic Modeling (32 papers), Speech and dialogue systems (24 papers), Neurobiology of Language and Bilingualism (14 papers), Language, Discourse, Communication Strategies (9 papers), Language and cultural evolution (8 papers), Text Readability and Simplification (6 papers) and Opinion Dynamics and Social Influence (5 papers). The work is most often cited by research in Language and Linguistics (260 citations), Artificial Intelligence (680 citations), Developmental and Educational Psychology (231 citations), Experimental and Cognitive Psychology (213 citations) and Cognitive Neuroscience (298 citations). David Reitter has collaborated with scholars based in United States, United Kingdom and Canada. Frequent co-authors include Johanna D. Moore, Frank Keller, Yang Xu, Christian Lebière, Hannah Rashkin, Gaurav Singh Tomar, Moojan Ghafurian, Dipanjan Das, Manfred Stede and Alexander G. Ororbia. Their work appears in journals such as Cognitive Science, Journal of Memory and Language, Computational Linguistics, Cognitive Systems Research and ACM Transactions on Computer-Human Interaction.

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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