Joan Bachenko

423 citations
21 papers · 286 · h-index 8

Impact in

Papers in

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

Joan Bachenko

20 papers receiving 235 citations

Peers

Joan Bachenko
Comparison fields: 5 of 37
  • Artificial Intelligence 231
  • Experimental and Cognitive Psychology 53
  • Social Psychology 73
  • Information Systems 57
  • Language and Linguistics 23
Replace Delia Irazú Hernández Farías with:
Delia Irazú Hernández Farías Spain
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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 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1
A computational grammar of discourse-neutral prosodic phrasing in English
199097
2 200859
3 201532
4 201518
5 198613
6 201211
7 200111
8
Prosodic features of four types of disfluencies.
200310
9
A linguistically motivated approach to automated analysis of military messages
19836
10 20035
11
Automatic Processing of Navy Message Narrative.
19854
12
Constraining a deterministic parser
19833
13
Applied computational linguistics in perspective: proceedings of the workshop
19823
14
Noun Phrase Compression in Navy Messages.
19833
15 19932
16 19952
17 19922
18 20032
19 19871
20 20021

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 21 papers that have together received 286 indexed citations. Recurring topics across this work include Natural Language Processing Techniques (10 papers), Speech and dialogue systems (10 papers), Speech Recognition and Synthesis (7 papers), Phonetics and Phonology Research (5 papers), Deception detection and forensic psychology (5 papers), Topic Modeling (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 (231 citations), Experimental and Cognitive Psychology (53 citations), Social Psychology (73 citations), Information Systems (57 citations) and Language and Linguistics (23 citations). Joan Bachenko has collaborated with scholars based in United States. Frequent co-authors include Eileen Fitzpatrick, Tommaso Fornaciari, Guergana Savova, Charles E. Wright, Sergey Pakhomov, Constance Heitmeyer, Elaine Marsh, Ralph Grishman, Judith N. Froscher and William A. Gale. Their work appears in journals such as Computational Linguistics, The Journal of the Acoustical Society of America, Natural Language Engineering, Journal of Thoracic Imaging and Institutional Research Information System (Università degli Studi di Trento).

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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