Mark A. Pitt

8.4k citations
150 papers · 5.2k · h-index 42

Impact in

Papers in

    • Speech Recognition and Synthesis 14
    • Neural Networks and Applications 12
    • Neurobiology of Language and Bilingualism 16
    • Neuroscience and Music Perception 13
    • Hearing Loss and Rehabilitation 10

Mark A. Pitt

145 papers receiving 4.9k citations

Peers

Mark A. Pitt
Comparison fields: 5 of 196
  • General Decision Sciences 417
  • Experimental and Cognitive Psychology 1.9k
  • Cognitive Neuroscience 2.0k
  • Linguistics and Language 430
  • Developmental and Educational Psychology 915
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Mark A. Pitt relative to Noah D. Goodman United States Noah D. Goodman's profile →
Citations per field
00.5×8.1×
Noah D. Goodman · 1×
Citations per year

Countries citing papers authored by Mark A. Pitt

Since Specialization
Citations

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

Fields of papers citing papers by Mark A. Pitt

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mark A. Pitt. 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 Mark A. Pitt. The network helps show where Mark A. Pitt may publish in the future.

Co-authors

The 25 scholars most cited alongside Mark A. Pitt, 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 Mark A. Pitt Line = papers co-authored together Mark A. Pitt links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 150 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2002355
2 1997305
3 2002304
4
Advances in Minimum Description Length: Theory and Applications
2005276
5 2004181
6 1998160
7 2010140
8 2000110
9 2009107
10 1990101
11 1998100
12 200095
13 200994
14 202191
15 200690
16 199584
17 200584
18 199079
19 199377
20 201674

About Mark A. Pitt

Mark A. Pitt is a scholar working on Artificial Intelligence, Cognitive Neuroscience, Experimental and Cognitive Psychology, Developmental and Educational Psychology and Computational Theory and Mathematics, having authored 150 papers that have together received 5.2k indexed citations. Recurring topics across this work include Phonetics and Phonology Research (33 papers), Reading and Literacy Development (18 papers), Neurobiology of Language and Bilingualism (16 papers), Speech Recognition and Synthesis (14 papers), Neuroscience and Music Perception (13 papers), Neural Networks and Applications (12 papers), Advanced Multi-Objective Optimization Algorithms (11 papers) and Hearing Loss and Rehabilitation (10 papers). The work is most often cited by research in General Decision Sciences (417 citations), Experimental and Cognitive Psychology (1.9k citations), Cognitive Neuroscience (2.0k citations), Linguistics and Language (430 citations) and Developmental and Educational Psychology (915 citations). Mark A. Pitt has collaborated with scholars based in United States, United Kingdom and South Korea. Frequent co-authors include In Jae Myung, Arthur G. Samuel, Jay I. Myung, Laura C. Dilley, Shaobo Zhang, Daniel R. Cavagnaro, Peter Grünwald, James M. McQueen, Danielle Navarro and Jay I. Myung. Their work appears in journals such as Journal of Experimental Psychology Human Perception & Performance, Journal of Memory and Language, Cognitive Science, Cognitive Psychology and Psychonomic Bulletin & Review.

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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