Jason H. Kim

597 total citations
10 papers, 433 citations indexed

About

Jason H. Kim is a scholar working on Cognitive Neuroscience, Experimental and Cognitive Psychology and Computer Vision and Pattern Recognition. According to data from OpenAlex, Jason H. Kim has authored 10 papers receiving a total of 433 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Cognitive Neuroscience, 3 papers in Experimental and Cognitive Psychology and 2 papers in Computer Vision and Pattern Recognition. Recurrent topics in Jason H. Kim's work include Neuroscience and Music Perception (3 papers), Phonetics and Phonology Research (3 papers) and Hearing Loss and Rehabilitation (2 papers). Jason H. Kim is often cited by papers focused on Neuroscience and Music Perception (3 papers), Phonetics and Phonology Research (3 papers) and Hearing Loss and Rehabilitation (2 papers). Jason H. Kim collaborates with scholars based in United States. Jason H. Kim's co-authors include Michael E. Ragozzino, Carl Ludy, Nina F. Dronkers, Patricia M. Raskin, Juliana V. Baldo, David P. Wilkins, Sandeep Patel, Charles R. Larson, Molly Losh and William Byne and has published in prestigious journals such as The Journal of the Acoustical Society of America, Schizophrenia Research and Journal of Speech Language and Hearing Research.

In The Last Decade

Jason H. Kim

10 papers receiving 428 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Jason H. Kim United States	8	292	91	90	55	54	10	433
Adam J. O. Dede United States	8	293 1.0×	68 0.7×	109 1.2×	45 0.8×	38 0.7×	14	429
Adam P. R. Smith United Kingdom	7	454 1.6×	66 0.7×	70 0.8×	72 1.3×	124 2.3×	8	638
Jennifer C. Frascino United States	9	401 1.4×	104 1.1×	150 1.7×	40 0.7×	56 1.0×	11	472
Sze Chai Kwok China	13	557 1.9×	46 0.5×	94 1.0×	55 1.0×	70 1.3×	46	678
René Vohn Germany	11	312 1.1×	74 0.8×	21 0.2×	45 0.8×	77 1.4×	15	441
Timothy J. Carbary United States	11	224 0.8×	60 0.7×	102 1.1×	62 1.1×	58 1.1×	13	400
Tapani Korhonen Finland	17	620 2.1×	49 0.5×	147 1.6×	43 0.8×	125 2.3×	38	839
Brittany E. Burrows United States	6	455 1.6×	51 0.6×	37 0.4×	29 0.5×	65 1.2×	8	568
Vyacheslav Karolis United Kingdom	14	500 1.7×	49 0.5×	42 0.5×	26 0.5×	61 1.1×	28	864
Teruo Hashimoto Japan	16	225 0.8×	38 0.4×	30 0.3×	77 1.4×	117 2.2×	34	514

Countries citing papers authored by Jason H. Kim

Since Specialization

Citations

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

Fields of papers citing papers by Jason H. Kim

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jason H. Kim. 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 Jason H. Kim. The network helps show where Jason H. Kim may publish in the future.

Co-authorship network of co-authors of Jason H. Kim

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

All Works

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10 of 10 papers shown

Kim, Jason H., et al.. (2022). The Effects of Masked and Delayed Auditory Feedback on Fundamental Frequency Modulation in Vocal Vibrato. Journal of Voice. 38(5). 1137–1148. 3 indexed citations

Kim, Jason H., et al.. (2021). Auditory-Motor Control of Fundamental Frequency in Vocal Vibrato. Journal of Voice. 37(2). 296.e9–296.e19. 6 indexed citations

Kim, Jason H., et al.. (2020). The Effect of Pitch and Loudness Auditory Feedback Perturbations on Vocal Quality During Sustained Phonation. Journal of Voice. 37(1). 37–47. 8 indexed citations

Cole, Jennifer, et al.. (2020). The Effect of Pitch Auditory Feedback Perturbations on the Production of Anticipatory Phrasal Prominence and Boundary. Journal of Speech Language and Hearing Research. 63(7). 2185–2201. 7 indexed citations

Kim, Jason H., et al.. (2019). Mechanisms of voice control related to prosody in autism spectrum disorder and first‐degree relatives. Autism Research. 12(8). 1192–1210. 21 indexed citations

Kim, Jason H. & Charles R. Larson. (2019). Modulation of auditory-vocal feedback control due to planned changes in voice fo. The Journal of the Acoustical Society of America. 145(3). 1482–1492. 10 indexed citations

Kim, Jason H. & Sandeep Patel. (2017). Is It Worth Discriminating Against Patients Who Smoke? A Systematic Literature Review on the Effects of Tobacco Use in Foot and Ankle Surgery. The Journal of Foot & Ankle Surgery. 56(3). 594–599. 31 indexed citations

Byne, William, et al.. (2006). Reduction of right medial pulvinar volume and neuron number in schizophrenia. Schizophrenia Research. 90(1-3). 71–75. 37 indexed citations

Kim, Jason H. & Michael E. Ragozzino. (2004). The involvement of the orbitofrontal cortex in learning under changing task contingencies. Neurobiology of Learning and Memory. 83(2). 125–133. 157 indexed citations

10.

Baldo, Juliana V., Nina F. Dronkers, David P. Wilkins, et al.. (2004). Is problem solving dependent on language?. Brain and Language. 92(3). 240–250. 153 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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