Joan Bachenko

424 citations
22 papers · 328 · h-index 9

Impact in

    • Natural Language Processing Techniques
    • Speech and dialogue systems
    • Speech Recognition and Synthesis
    • Topic Modeling
    • Authorship Attribution and Profiling
    • Deception detection and forensic psychology

Papers in

    • Speech and dialogue systems 10
    • Natural Language Processing Techniques 10
    • Speech Recognition and Synthesis 7
    • Topic Modeling 5
    • Authorship Attribution and Profiling 2
    • Deception detection and forensic psychology 6

Joan Bachenko

21 papers receiving 274 citations

Peers

Joan Bachenko
Comparison fields: 5 of 35
  • Artificial Intelligence 266
  • Social Psychology 93
  • Experimental and Cognitive Psychology 58
  • Information Systems 66
  • Language and Linguistics 26
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Citations per field
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Citations per year

Countries citing papers authored by Joan Bachenko

Since Specialization
Citations

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

Fields of papers citing papers by Joan Bachenko

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 10 scholars most cited alongside Joan Bachenko, 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 Joan Bachenko Line = papers co-authored together Joan Bachenko links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1
A computational grammar of discourse-neutral prosodic phrasing in English
1990109
2 200866
3 201536
4 201520
5 198613
6 200112
7 201211
8
Prosodic features of four types of disfluencies.
200311
9 201011
10
A linguistically motivated approach to automated analysis of military messages
19837
11 20035
12
Constraining a deterministic parser
19834
13
Automatic Processing of Navy Message Narrative.
19854
14
Applied computational linguistics in perspective: proceedings of the workshop
19823
15 20033
16 19923
17
Noun Phrase Compression in Navy Messages.
19833
18 19952
19 19932
20 20161

About Joan Bachenko

Joan Bachenko is a scholar working on Artificial Intelligence, Social Psychology, Experimental and Cognitive Psychology, Information Systems and Clinical Psychology, having authored 22 papers that have together received 328 indexed citations. Recurring topics across this work include Speech and dialogue systems (10 papers), Natural Language Processing Techniques (10 papers), Speech Recognition and Synthesis (7 papers), Deception detection and forensic psychology (6 papers), Topic Modeling (5 papers), Phonetics and Phonology Research (5 papers), Authorship Attribution and Profiling (2 papers) and Cybercrime and Law Enforcement Studies (2 papers). The work is most often cited by research in Artificial Intelligence (266 citations), Social Psychology (93 citations), Experimental and Cognitive Psychology (58 citations), Information Systems (66 citations) and Language and Linguistics (26 citations). Joan Bachenko has collaborated with scholars based in United States. Frequent co-authors include Eileen Fitzpatrick, Tommaso Fornaciari, Guergana Savova, Sergey Pakhomov, Charles E. Wright, Judith N. Froscher, Ralph Grishman, Elaine Marsh, Constance Heitmeyer and William A. Gale. Their work appears in journals such as Synthesis lectures on human language technologies, The Journal of the Acoustical Society of America, Computational Linguistics, Natural Language Engineering and Journal of Thoracic Imaging.

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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