Michael S. Vitevitch

7.4k total citations · 1 hit paper
100 papers, 5.1k citations indexed

About

Michael S. Vitevitch is a scholar working on Cognitive Neuroscience, Experimental and Cognitive Psychology and Artificial Intelligence. According to data from OpenAlex, Michael S. Vitevitch has authored 100 papers receiving a total of 5.1k indexed citations (citations by other indexed papers that have themselves been cited), including 62 papers in Cognitive Neuroscience, 60 papers in Experimental and Cognitive Psychology and 44 papers in Artificial Intelligence. Recurrent topics in Michael S. Vitevitch's work include Phonetics and Phonology Research (44 papers), Neurobiology of Language and Bilingualism (41 papers) and Reading and Literacy Development (21 papers). Michael S. Vitevitch is often cited by papers focused on Phonetics and Phonology Research (44 papers), Neurobiology of Language and Bilingualism (41 papers) and Reading and Literacy Development (21 papers). Michael S. Vitevitch collaborates with scholars based in United States, Australia and Singapore. Michael S. Vitevitch's co-authors include Paul A. Luce, Kit Ying Chan, Cynthia S. Q. Siew, Edward T. Auer, Mitchell S. Sommers, David Kemmerer, Jan Charles-Luce, Nichol Castro, David B. Pisoni and Stephen D. Goldinger and has published in prestigious journals such as PLoS ONE, Scientific Reports and Psychological Science.

In The Last Decade

Michael S. Vitevitch

97 papers receiving 4.8k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Probabilistic Phonotactics and Neighborhood Activation in Spoken Word Recognition

1999 541 citations Michael S. Vitevitch et al. Journal of Memory and Language profile →

Peers

Michael S. Vitevitch

CN

DEP

ECP

AI

SNP

Guy C. Van Orden United States

Paul A. Luce United States

James S. Magnuson United States

Christopher T. Kello United States

Gert Storms Belgium

Ram Frost Israel

Melvin J. Yap Singapore

Boris New France

Ton Dijkstra Netherlands

Kim Plunkett United Kingdom

Guy C. Van Orden United States

Michael S. Vitevitch

3.4k ×1.1

CN

3.3k ×1.3

DEP

1.2k ×0.5

ECP

747 ×0.6

AI

237 ×0.6

SNP

Citations per year, relative to Michael S. Vitevitch Michael S. Vitevitch (= 1×) peers Guy C. Van Orden

Countries citing papers authored by Michael S. Vitevitch

Since Specialization

Citations

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

Fields of papers citing papers by Michael S. Vitevitch

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Michael S. Vitevitch. 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 Michael S. Vitevitch. The network helps show where Michael S. Vitevitch may publish in the future.

Co-authorship network of co-authors of Michael S. Vitevitch

This figure shows the co-authorship network connecting the top 25 collaborators of Michael S. Vitevitch. A scholar is included among the top collaborators of Michael S. Vitevitch 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 Michael S. Vitevitch. Michael S. Vitevitch is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

1.

Stella, Massimo, et al.. (2024). Cognitive modelling of concepts in the mental lexicon with multilayer networks: Insights, advancements, and future challenges. Psychonomic Bulletin & Review. 31(5). 1981–2004. 11 indexed citations

2.

Vitevitch, Michael S., et al.. (2024). The Effect of the COVID Pandemic on Clinical Psychology Research: A Bibliometric Analysis. Behavioral Sciences. 14(6). 463–463. 1 indexed citations

3.

Vitevitch, Michael S.. (2023). Speech, Language, and Hearing in the 21st Century: A Bibliometric Review of JSLHR From 2001 to 2021. Journal of Speech Language and Hearing Research. 66(9). 3428–3451. 2 indexed citations

4.

Vitevitch, Michael S., et al.. (2023). Feature-rich multiplex lexical networks reveal mental strategies of early language learning. Scientific Reports. 13(1). 1474–1474. 11 indexed citations

5.

Vitevitch, Michael S., et al.. (2021). Does age affect perception of the Speech-to-Song Illusion?. PLoS ONE. 16(4). e0250042–e0250042. 6 indexed citations

6.

Siew, Cynthia S. Q. & Michael S. Vitevitch. (2019). The phonographic language network: Using network science to investigate the phonological and orthographic similarity structure of language.. Journal of Experimental Psychology General. 148(3). 475–500. 29 indexed citations

7.

Kenett, Yoed N., Nichol Castro, Elisabeth A. Karuza, & Michael S. Vitevitch. (2019). Cognitive Network Science: Quantitatively Investigating the Complexity of Cognition.. Cognitive Science. 31–32. 1 indexed citations

8.

Castro, Nichol, et al.. (2018). An account of the Speech-to-Song Illusion using Node Structure Theory. PLoS ONE. 13(6). e0198656–e0198656. 12 indexed citations

9.

Vitevitch, Michael S., et al.. (2017). A Web-based interface to calculate phonotactic probability for words and nonwords in Modern Standard Arabic. Behavior Research Methods. 50(1). 313–322. 17 indexed citations

10.

Vitevitch, Michael S., et al.. (2014). Keywords in the mental lexicon. Journal of Memory and Language. 73. 131–147. 16 indexed citations

11.

Vitevitch, Michael S., et al.. (2014). Using complex networks to understand the mental lexicon. Pressto (Uniwersytetu Adama Mickiewicza). 1(1). 119–138. 19 indexed citations

12.

Vitevitch, Michael S., et al.. (2014). The influence of clustering coefficient on word-learning: how groups of similar sounding words facilitate acquisition. Frontiers in Psychology. 5. 1307–1307. 51 indexed citations

13.

Vitevitch, Michael S., et al.. (2013). Speaker Sex Influences Processing of Grammatical Gender. PLoS ONE. 8(11). e79701–e79701. 21 indexed citations

14.

Vitevitch, Michael S., Kit Ying Chan, & Steven Roodenrys. (2012). Complex network structure influences processing in long-term and short-term memory. Journal of Memory and Language. 67(1). 30–44. 75 indexed citations

15.

Vitevitch, Michael S., et al.. (2011). Phonotactic probability of brand names: I’d buy that!. Psychological Research. 76(6). 693–698. 5 indexed citations

16.

Chan, Kit Ying & Michael S. Vitevitch. (2010). Network Structure Influences Speech Production. Cognitive Science. 34(4). 685–697. 77 indexed citations

17.

Chan, Kit Ying & Michael S. Vitevitch. (2009). The influence of the phonological neighborhood clustering coefficient on spoken word recognition.. Journal of Experimental Psychology Human Perception & Performance. 35(6). 1934–1949. 87 indexed citations

18.

Vitevitch, Michael S.. (2007). The spread of the phonological neighborhood influences spoken word recognition. Memory & Cognition. 35(1). 166–175. 40 indexed citations

19.

Vitevitch, Michael S.. (2003). Change deafness: The inability to detect changes between two voices.. Journal of Experimental Psychology Human Perception & Performance. 29(2). 333–342. 99 indexed citations

20.

Vitevitch, Michael S.. (2002). Influence of onset density on spoken-word recognition.. Journal of Experimental Psychology Human Perception & Performance. 28(2). 270–278. 58 indexed citations

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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