John Kochalka

1.6k total citations
17 papers, 1.1k citations indexed

About

John Kochalka is a scholar working on Cognitive Neuroscience, Developmental and Educational Psychology and Statistics and Probability. According to data from OpenAlex, John Kochalka has authored 17 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Cognitive Neuroscience, 4 papers in Developmental and Educational Psychology and 3 papers in Statistics and Probability. Recurrent topics in John Kochalka's work include Functional Brain Connectivity Studies (9 papers), Neural dynamics and brain function (7 papers) and Autism Spectrum Disorder Research (4 papers). John Kochalka is often cited by papers focused on Functional Brain Connectivity Studies (9 papers), Neural dynamics and brain function (7 papers) and Autism Spectrum Disorder Research (4 papers). John Kochalka collaborates with scholars based in United States, Switzerland and Japan. John Kochalka's co-authors include Vinod Menon, Tianwen Chen, Srikanth Ryali, Kaustubh Supekar, Weidong Cai, Aarthi Padmanabhan, Daniel A. Abrams, Marie Schaer, Shaozheng Qin and Jonathan Nicholas and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and Neuron.

In The Last Decade

John Kochalka

17 papers receiving 1.0k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
John Kochalka United States 16 860 179 165 132 107 17 1.1k
Justin OʼBrien United Kingdom 12 1.0k 1.2× 231 1.3× 128 0.8× 67 0.5× 37 0.3× 23 1.2k
Thomas Fangmeier Germany 17 786 0.9× 180 1.0× 235 1.4× 48 0.4× 66 0.6× 40 1.2k
Harald M. Mohr Germany 15 705 0.8× 111 0.6× 201 1.2× 183 1.4× 47 0.4× 21 983
Marc Thioux Netherlands 13 886 1.0× 328 1.8× 164 1.0× 408 3.1× 60 0.6× 22 1.2k
Chantal Roggeman Belgium 12 479 0.6× 143 0.8× 98 0.6× 214 1.6× 34 0.3× 14 728
Roozbeh Rezaie United States 21 1.0k 1.2× 184 1.0× 123 0.7× 37 0.3× 175 1.6× 45 1.4k
Fabienne Samson Canada 10 973 1.1× 257 1.4× 136 0.8× 43 0.3× 66 0.6× 12 1.1k
Li‐Hai Tan China 12 613 0.7× 278 1.6× 209 1.3× 65 0.5× 241 2.3× 20 993
Hitha Amin United States 3 720 0.8× 111 0.6× 265 1.6× 170 1.3× 229 2.1× 3 1.0k
James K. Kroger United States 11 1.3k 1.6× 327 1.8× 457 2.8× 97 0.7× 54 0.5× 17 1.7k

Countries citing papers authored by John Kochalka

Since Specialization
Citations

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

Fields of papers citing papers by John Kochalka

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of John Kochalka

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

All Works

17 of 17 papers shown
1.
Abrams, Daniel A., et al.. (2020). Intrinsic functional architecture of the human speech processing network. Cortex. 129. 41–56. 10 indexed citations
2.
Kauvar, Isaac, Timothy A. Machado, John Kochalka, et al.. (2020). Cortical Observation by Synchronous Multifocal Optical Sampling Reveals Widespread Population Encoding of Actions. Neuron. 107(2). 351–367.e19. 48 indexed citations
3.
Chen, Lang, et al.. (2019). The visual word form area (VWFA) is part of both language and attention circuitry. Nature Communications. 10(1). 5601–5601. 102 indexed citations
4.
Abrams, Daniel A., Aarthi Padmanabhan, Tianwen Chen, et al.. (2019). Impaired voice processing in reward and salience circuits predicts social communication in children with autism. eLife. 8. 33 indexed citations
5.
Battista, Christian, Tanya M. Evans, Tianwen Chen, et al.. (2018). Mechanisms of interactive specialization and emergence of functional brain circuits supporting cognitive development in children. npj Science of Learning. 3(1). 1–1. 36 indexed citations
6.
Taghia, Jalil, Weidong Cai, Srikanth Ryali, et al.. (2018). Uncovering hidden brain state dynamics that regulate performance and decision-making during cognition. Nature Communications. 9(1). 2505–2505. 118 indexed citations
7.
Supekar, Kaustubh, John Kochalka, Marie Schaer, et al.. (2018). Deficits in mesolimbic reward pathway underlie social interaction impairments in children with autism. Brain. 141(9). 2795–2805. 86 indexed citations
8.
Ryali, Srikanth, Yen‐Yu Ian Shih, Tianwen Chen, et al.. (2016). Combining optogenetic stimulation and fMRI to validate a multivariate dynamical systems model for estimating causal brain interactions. NeuroImage. 132. 398–405. 53 indexed citations
9.
Ryali, Srikanth, Tianwen Chen, Kaustubh Supekar, et al.. (2016). Multivariate dynamical systems-based estimation of causal brain interactions in fMRI: Group-level validation using benchmark data, neurophysiological models and human connectome project data. Journal of Neuroscience Methods. 268. 142–153. 18 indexed citations
10.
Ryali, Srikanth, Kaustubh Supekar, Tianwen Chen, et al.. (2016). Temporal Dynamics and Developmental Maturation of Salience, Default and Central-Executive Network Interactions Revealed by Variational Bayes Hidden Markov Modeling. PLoS Computational Biology. 12(12). e1005138–e1005138. 58 indexed citations
11.
Abrams, Daniel A., Tianwen Chen, Paola Odriozola, et al.. (2016). Neural circuits underlying mother’s voice perception predict social communication abilities in children. Proceedings of the National Academy of Sciences. 113(22). 6295–6300. 43 indexed citations
12.
Jolles, Dietsje, Sarit Ashkenazi, John Kochalka, et al.. (2016). Parietal hyper‐connectivity, aberrant brain organization, and circuit‐based biomarkers in children with mathematical disabilities. Developmental Science. 19(4). 613–631. 60 indexed citations
13.
Cai, Weidong, Tianwen Chen, Srikanth Ryali, et al.. (2015). Causal Interactions Within a Frontal-Cingulate-Parietal Network During Cognitive Control: Convergent Evidence from a Multisite–Multitask Investigation. Cerebral Cortex. 26(5). 2140–2153. 122 indexed citations
14.
Evans, Tanya M., John Kochalka, Sarah S. Wu, et al.. (2015). Brain Structural Integrity and Intrinsic Functional Connectivity Forecast 6 Year Longitudinal Growth in Children's Numerical Abilities. Journal of Neuroscience. 35(33). 11743–11750. 79 indexed citations
15.
Schaer, Marie, John Kochalka, Aarthi Padmanabhan, Kaustubh Supekar, & Vinod Menon. (2015). Sex differences in cortical volume and gyrification in autism. Molecular Autism. 6(1). 42–42. 62 indexed citations
16.
Odriozola, Paola, Lucina Q. Uddin, Charles J. Lynch, et al.. (2015). Insula response and connectivity during social and non-social attention in children with autism. Social Cognitive and Affective Neuroscience. 11(3). 433–444. 69 indexed citations
17.
Chen, Tianwen, Lars Michels, Kaustubh Supekar, et al.. (2014). Role of the anterior insular cortex in integrative causal signaling during multisensory auditory–visual attention. European Journal of Neuroscience. 41(2). 264–274. 61 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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