Matthew K. Leonard

3.1k total citations · 1 hit paper
50 papers, 1.8k citations indexed

About

Matthew K. Leonard is a scholar working on Cognitive Neuroscience, Developmental and Educational Psychology and Experimental and Cognitive Psychology. According to data from OpenAlex, Matthew K. Leonard has authored 50 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 44 papers in Cognitive Neuroscience, 11 papers in Developmental and Educational Psychology and 10 papers in Experimental and Cognitive Psychology. Recurrent topics in Matthew K. Leonard's work include Neuroscience and Music Perception (20 papers), Neural dynamics and brain function (17 papers) and EEG and Brain-Computer Interfaces (13 papers). Matthew K. Leonard is often cited by papers focused on Neuroscience and Music Perception (20 papers), Neural dynamics and brain function (17 papers) and EEG and Brain-Computer Interfaces (13 papers). Matthew K. Leonard collaborates with scholars based in United States, Belgium and Germany. Matthew K. Leonard's co-authors include Edward F. Chang, David A. Moses, Eric Halgren, Joseph G. Makin, Katherine E. Travis, Matthias J. Sjerps, Jonathan D. Breshears, Ben Dichter, Maxime O. Baud and Nima Mesgarani and has published in prestigious journals such as Nature, Cell and Proceedings of the National Academy of Sciences.

In The Last Decade

Matthew K. Leonard

46 papers receiving 1.7k citations

Hit Papers

The Encoding of Speech Sounds in the Superior Temporal Gyrus 2019 2026 2021 2023 2019 50 100 150 200

Peers

Matthew K. Leonard
Michael Murias United States
Joseph T. Lurito United States
Ian Charest United Kingdom
Donald Wong United States
Michael Murias United States
Matthew K. Leonard
Citations per year, relative to Matthew K. Leonard Matthew K. Leonard (= 1×) peers Michael Murias

Countries citing papers authored by Matthew K. Leonard

Since Specialization
Citations

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

Fields of papers citing papers by Matthew K. Leonard

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Matthew K. Leonard. 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 Matthew K. Leonard. The network helps show where Matthew K. Leonard may publish in the future.

Co-authorship network of co-authors of Matthew K. Leonard

This figure shows the co-authorship network connecting the top 25 collaborators of Matthew K. Leonard. A scholar is included among the top collaborators of Matthew K. Leonard 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 Matthew K. Leonard. Matthew K. Leonard 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
1.
Leonard, Matthew K., et al.. (2025). Parallel encoding of speech in human frontal and temporal lobes. Nature Communications. 17(1). 814–814.
2.
Zhang, Yizhen, Matthew K. Leonard, Ilina Bhaya-Grossman, Laura Gwilliams, & Edward F. Chang. (2025). Human cortical dynamics of auditory word form encoding. Neuron. 114(1). 167–180.e6. 1 indexed citations
3.
Chung, Jason E., Duo Xu, Matthew K. Leonard, et al.. (2025). Experience and safety of intraoperative Neuropixels: a case series of 56 patients. Journal of neurosurgery. 144(1). 63–73.
4.
Bhaya-Grossman, Ilina, Matthew K. Leonard, Yizhen Zhang, et al.. (2025). Shared and language-specific phonological processing in the human temporal lobe. Nature. 649(8095). 140–151.
5.
Leonard, Matthew K., et al.. (2024). Encoding of melody in the human auditory cortex. Science Advances. 10(7). eadk0010–eadk0010. 11 indexed citations
6.
Leonard, Matthew K., et al.. (2023). Transcutaneous Auricular Vagus Nerve Stimulation Modulates Performance but Not Pupil Size During Nonnative Speech Category Learning. Journal of Speech Language and Hearing Research. 66(10). 3825–3843. 6 indexed citations
7.
Chandrasekaran, Bharath, et al.. (2022). Arousal States as a Key Source of Variability in Speech Perception and Learning. Languages. 7(1). 19–19. 7 indexed citations
8.
Chung, Jason E., Kristin K. Sellers, Matthew K. Leonard, et al.. (2022). High-density single-unit human cortical recordings using the Neuropixels probe. Neuron. 110(15). 2409–2421.e3. 45 indexed citations
9.
Yi, Han‐Gyol, Bharath Chandrasekaran, Kirill V. Nourski, et al.. (2021). Learning nonnative speech sounds changes local encoding in the adult human cortex. Proceedings of the National Academy of Sciences. 118(36). 8 indexed citations
10.
Leonard, Matthew K., et al.. (2020). Transformation of a temporal speech cue to a spatial neural code in human auditory cortex. eLife. 9. 14 indexed citations
11.
Ammanuel, Simon G., Jonathan K. Kleen, Matthew K. Leonard, & Edward F. Chang. (2020). Interictal Epileptiform Discharges and the Quality of Human Intracranial Neurophysiology Data. Frontiers in Human Neuroscience. 14. 44–44. 3 indexed citations
12.
Leonard, Matthew K., et al.. (2019). The Encoding of Speech Sounds in the Superior Temporal Gyrus. Neuron. 102(6). 1096–1110. 229 indexed citations breakdown →
13.
Moses, David A., Matthew K. Leonard, Joseph G. Makin, & Edward F. Chang. (2019). Real-time decoding of question-and-answer speech dialogue using human cortical activity. Nature Communications. 10(1). 3096–3096. 149 indexed citations
14.
Dichter, Ben, Jonathan D. Breshears, Matthew K. Leonard, & Edward F. Chang. (2018). The Control of Vocal Pitch in Human Laryngeal Motor Cortex. Cell. 174(1). 21–31.e9. 106 indexed citations
15.
Khoshkhoo, Sattar, Matthew K. Leonard, Nima Mesgarani, & Edward F. Chang. (2018). Neural correlates of sine-wave speech intelligibility in human frontal and temporal cortex. Brain and Language. 187. 83–91. 19 indexed citations
16.
Leonard, Matthew K. & Edward F. Chang. (2014). Dynamic speech representations in the human temporal lobe. Trends in Cognitive Sciences. 18(9). 472–479. 70 indexed citations
17.
Travis, Katherine E., Megan M. Curran, Matthew K. Leonard, et al.. (2013). Age-related Changes in Tissue Signal Properties Within Cortical Areas Important for Word Understanding in 12- to 19-Month-Old Infants. Cerebral Cortex. 24(7). 1948–1955. 16 indexed citations
18.
Travis, Katherine E., Matthew K. Leonard, Alexander M. Chan, et al.. (2012). Independence of Early Speech Processing from Word Meaning. Cerebral Cortex. 23(10). 2370–2379. 27 indexed citations
19.
Leonard, Matthew K., Naja Ferjan Ramírez, Katherine E. Travis, et al.. (2012). Signed Words in the Congenitally Deaf Evoke Typical Late Lexicosemantic Responses with No Early Visual Responses in Left Superior Temporal Cortex. Journal of Neuroscience. 32(28). 9700–9705. 56 indexed citations
20.
Travis, Katherine E., Matthew K. Leonard, Timothy T. Brown, et al.. (2011). Spatiotemporal Neural Dynamics of Word Understanding in 12- to 18-Month-Old-Infants. Cerebral Cortex. 21(8). 1832–1839. 40 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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