Jason Riggle

645 total citations
21 papers, 224 citations indexed

About

Jason Riggle is a scholar working on Artificial Intelligence, Computational Theory and Mathematics and Experimental and Cognitive Psychology. According to data from OpenAlex, Jason Riggle has authored 21 papers receiving a total of 224 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Artificial Intelligence, 9 papers in Computational Theory and Mathematics and 6 papers in Experimental and Cognitive Psychology. Recurrent topics in Jason Riggle's work include Natural Language Processing Techniques (11 papers), semigroups and automata theory (7 papers) and Phonetics and Phonology Research (6 papers). Jason Riggle is often cited by papers focused on Natural Language Processing Techniques (11 papers), semigroups and automata theory (7 papers) and Phonetics and Phonology Research (6 papers). Jason Riggle collaborates with scholars based in United States and United Kingdom. Jason Riggle's co-authors include John Goldsmith, Gregory M. Kobele, Jeffrey Heinz, Weiran Wang, Hao Tang, Gregory Shakhnarovich, Diane Brentari, Tae-Hwan Kim, Karen Livescu and Pamela Munro and has published in prestigious journals such as Computational Linguistics, Linguistic Inquiry and Lingua.

In The Last Decade

Jason Riggle

20 papers receiving 185 citations

Peers

Jason Riggle
Comparison fields: 5 of 29
  • Artificial Intelligence 139
  • Experimental and Cognitive Psychology 96
  • Language and Linguistics 47
  • Linguistics and Language 43
  • Developmental and Educational Psychology 41
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Citations per field, relative to Jason Riggle
Jason Riggle · 1×
Citations per year, relative to Jason Riggle
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Countries citing papers authored by Jason Riggle

Since Specialization
Citations

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

Fields of papers citing papers by Jason Riggle

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jason Riggle

This figure shows the co-authorship network connecting the top 25 collaborators of Jason Riggle. A scholar is included among the top collaborators of Jason Riggle 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 Jason Riggle. Jason Riggle 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
# Work Indexed citations
1 40
2 0
3 3
4 6
5 26
6
Multilingual learning with parameter co-occurrence clustering
1
7 11
8 19
9 8
10 3
11 2
12 9
13 23
14
Using Entropy to Learn OT Grammarsfrom Surface Forms Alone
5
15
Induction of Prototypes in a Robotic Setting Using Local Search MDL
2
16 4
17 2
18
Generation, recognition, and learning in finite state optimality theory
53
19 3
20
Grounding as Learning
2

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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