John P. Kimball

933 citations
3 papers · 487 indexed · 1 hit paper · h-index 3
Topics
Natural Language Processing Techniques (2 papers)Syntax, Semantics, Linguistic Variation (2 papers)Language and cultural evolution (1 paper)
Partner nations
United States

In The Last Decade

John P. Kimball

3 papers receiving 406 citations

Hit Papers

Seven principles of surface structure parsing in natural ...19732026199020081973100200300400

Peers

John P. Kimball
Comparison fields: 5 of 41
  • Cognitive Neuroscience 252
  • Artificial Intelligence 215
  • Developmental and Educational Psychology 209
  • Language and Linguistics 193
  • Experimental and Cognitive Psychology 92
Replace Wayne Cowart with:
Wayne Cowart United States
Tarina Rosen
Alphonse Juilland United States
U. Frauenfelder France
David T. Hakes United States
Bruce L. Derwing Canada
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Alexander Geyken Germany
Andrew Barss United States
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John P. Kimball relative to Wayne Cowart United States Wayne Cowart's profile →
Citations per field
00.5×1.7×
Wayne Cowart · 1×
Citations per year

Countries citing papers authored by John P. Kimball

Since Specialization
Citations

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

Fields of papers citing papers by John P. Kimball

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by John P. Kimball. 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 John P. Kimball. The network helps show where John P. Kimball may publish in the future.

Co-authorship network of co-authors of John P. Kimball

This figure shows the co-authorship network connecting the top 25 collaborators of John P. Kimball. A scholar is included among the top collaborators of John P. Kimball 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 John P. Kimball. John P. Kimball is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

3 of 3 papers shown
#WorkIndexed citations
1 2
2
Seven principles of surface structure parsing in natural languagebreakdown →
478
3 7

About John P. Kimball

John P. Kimball is a scholar working on Language and Linguistics, Cultural Studies and Computational Theory and Mathematics, having authored 3 papers that have together received 487 indexed citations. Recurring topics across this work include Natural Language Processing Techniques (2 papers), Syntax, Semantics, Linguistic Variation (2 papers) and Language and cultural evolution (1 paper). The work is most often cited by research in Language and Linguistics (193 citations), Developmental and Educational Psychology (209 citations) and Cognitive Neuroscience (252 citations). John P. Kimball has collaborated with scholars based in United States. Frequent co-authors include Cesar A. Cáceres. Their work appears in journals such as The Journal of the Acoustical Society of America, Cognition and Information and Control.

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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