Michelle Cohn

703 citations
39 papers · 368 indexed · h-index 11
Topics
Speech and dialogue systems (19 papers)Phonetics and Phonology Research (17 papers)Speech and Audio Processing (7 papers)
Journals
SHILAP Revista de lepidopterologíaScientific ReportsThe Journal of the Acoustical Society of America
Partner nations
United StatesSweden

In The Last Decade

Michelle Cohn

38 papers receiving 359 citations

Peers

Michelle Cohn
Comparison fields: 5 of 50
  • Artificial Intelligence 194
  • Experimental and Cognitive Psychology 164
  • Cognitive Neuroscience 96
  • Social Psychology 53
  • Signal Processing 46
Replace Kristin Precoda with:
Kristin Precoda United States
Rachel Smith United Kingdom
Egidio Marsico France
Georgia Zellou United States
Uwe D. Reichel Germany
Beth G. Greene United States
Madalena Cruz‐Ferreira Singapore
Joe Barcroft United States
Joaquim Llisterri Spain
John Bowden Australia
Michelle Cohn relative to Kristin Precoda United States Kristin Precoda's profile →
Citations per field
00.5×3.6×
Kristin Precoda · 1×
Citations per year

Countries citing papers authored by Michelle Cohn

Since Specialization
Citations

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

Fields of papers citing papers by Michelle Cohn

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michelle Cohn

This figure shows the co-authorship network connecting the top 25 collaborators of Michelle Cohn. A scholar is included among the top collaborators of Michelle Cohn 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 Michelle Cohn. Michelle Cohn 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 19
2 2
3 1
4 2
5 1
6 0
7 2
8 4
9 4
10 3
11 9
12 61
13 24
14 8
15
Does top-down information about speaker age guise influence perceptual compensation for coarticulatory /u/-fronting?
3
16
Embodiment and gender interact in alignment to TTS voices.
8
17 6
18 8
19 17
20 15

About Michelle Cohn

Michelle Cohn is a scholar working on Experimental and Cognitive Psychology, Linguistics and Language and Artificial Intelligence, having authored 39 papers that have together received 368 indexed citations. Recurring topics across this work include Speech and dialogue systems (19 papers), Phonetics and Phonology Research (17 papers) and Speech and Audio Processing (7 papers). The work is most often cited by research in Experimental and Cognitive Psychology (164 citations), Linguistics and Language (43 citations) and Human-Computer Interaction (41 citations). Michelle Cohn has collaborated with scholars based in United States and Sweden. Frequent co-authors include Georgia Zellou, Anne Pycha, Zhou Yu, Joseph M. Moran, Mahima Pushkarna, Zion Mengesha, Bernd Möbius, Jonas Beskow, Courtney Heldreth and Patrik Jonell. Their work appears in journals such as SHILAP Revista de lepidopterología, Scientific Reports and The Journal of the Acoustical Society of America.

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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