Steven Abney

39 papers receiving 1.9k citations

Peers

Steven Abney
Comparison fields: 5 of 85
  • Artificial Intelligence 1.9k
  • Cognitive Neuroscience 290
  • Language and Linguistics 248
  • Developmental and Educational Psychology 201
  • Information Systems 189
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Jean Véronis France
Mitchell P. Marcus United States
Tal Linzen United States
Alexander Clark United Kingdom
Ann Copestake United Kingdom
Stanley Peters United States
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Citations per field
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Citations per year

Countries citing papers authored by Steven Abney

Since Specialization
Citations

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

Fields of papers citing papers by Steven Abney

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Steven Abney

This figure shows the co-authorship network connecting the top 25 collaborators of Steven Abney. A scholar is included among the top collaborators of Steven Abney 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 Steven Abney. Steven Abney 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
#WorkIndexed citations
1 0
2 15
3
Towards a Data Model for the Universal Corpus
3
4
The Human Language Project: Building a Universal Corpus of the World's Languages
39
5 3
6 35
7
Latent Features in Automatic Tense Translation between Chinese and English
16
8 80
9
Chunks and Dependencies: Bringing Processing Evidence to Bear on Syntax
34
10 102
11
AT&T at TREC-8.
33
12
Boosting Applied to Tagging and PP Attachment
70
13 125
14
Seventh Conference of the European Chapter of the Association for Computational Linguistics
1
15 2
16
Principle-Based Parsing: Computation and Psycholinguistics
88
17 112
18 117
19
Licensing and Parsing
25
20
A Government-Binding Parser
10

About Steven Abney

Steven Abney is a scholar working on Artificial Intelligence, Language and Linguistics and Cultural Studies, having authored 41 papers that have together received 2.2k indexed citations. Recurring topics across this work include Natural Language Processing Techniques (32 papers), Topic Modeling (19 papers) and Speech and dialogue systems (5 papers). The work is most often cited by research in Artificial Intelligence (1.9k citations), Language and Linguistics (248 citations) and Developmental and Educational Psychology (201 citations). Steven Abney has collaborated with scholars based in United States and Germany. Frequent co-authors include Robert C. Berwick, Carol L. Tenny, Mark Johnson, B. King, Michael J. Collins, Shari R. Speer, Charles Clifton, Amit Singhal, Donald Hindle and Tomek Strzalkowski. Their work appears in journals such as Journal of Memory and Language, Computational Linguistics and Journal of Psycholinguistic Research.

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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