Michael Avissar

605 total citations
10 papers, 372 citations indexed

About

Michael Avissar is a scholar working on Cognitive Neuroscience, Sensory Systems and Neurology. According to data from OpenAlex, Michael Avissar has authored 10 papers receiving a total of 372 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Cognitive Neuroscience, 3 papers in Sensory Systems and 3 papers in Neurology. Recurrent topics in Michael Avissar's work include Functional Brain Connectivity Studies (5 papers), Hearing, Cochlea, Tinnitus, Genetics (3 papers) and Neural dynamics and brain function (3 papers). Michael Avissar is often cited by papers focused on Functional Brain Connectivity Studies (5 papers), Hearing, Cochlea, Tinnitus, Genetics (3 papers) and Neural dynamics and brain function (3 papers). Michael Avissar collaborates with scholars based in United States, Chile and Italy. Michael Avissar's co-authors include Daniel C. Javitt, Marc J. Dubin, Conor Liston, James C. Saunders, Faith M. Gunning, Irena Ilieva, Thomas D. Parsons, Matteo Respino, Adam C. Furman and Maria A. Spassova and has published in prestigious journals such as Journal of Neuroscience, European Journal of Neuroscience and Schizophrenia Research.

In The Last Decade

Michael Avissar

10 papers receiving 368 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Michael Avissar United States 8 259 117 78 63 48 10 372
Arto Lipponen Finland 12 244 0.9× 38 0.3× 33 0.4× 35 0.6× 151 3.1× 18 390
Kelsey Hassevoort United States 6 156 0.6× 109 0.9× 21 0.3× 30 0.5× 22 0.5× 8 317
Elouise A. Koops Netherlands 11 162 0.6× 152 1.3× 159 2.0× 76 1.2× 25 0.5× 21 321
Ryan P. Mears United States 8 264 1.0× 34 0.3× 52 0.7× 33 0.5× 89 1.9× 10 366
Laura Ortiz-Terán Spain 11 266 1.0× 40 0.3× 20 0.3× 116 1.8× 39 0.8× 18 433
Maryse E. Thomas Canada 7 126 0.5× 35 0.3× 48 0.6× 34 0.5× 54 1.1× 11 240
Chad R. Edwards United States 12 233 0.9× 66 0.6× 27 0.3× 56 0.9× 153 3.2× 18 426
Elisenda Bueichekú Spain 13 344 1.3× 31 0.3× 21 0.3× 51 0.8× 30 0.6× 35 465
Kristen A. Ford Canada 8 455 1.8× 43 0.4× 23 0.3× 87 1.4× 62 1.3× 10 544
Reiko Ohdake Japan 15 175 0.7× 61 0.5× 27 0.3× 49 0.8× 94 2.0× 39 552

Countries citing papers authored by Michael Avissar

Since Specialization
Citations

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

Fields of papers citing papers by Michael Avissar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michael Avissar

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

All Works

10 of 10 papers shown
1.
Sehatpour, Pejman, Michael Avissar, Joshua T. Kantrowitz, et al.. (2021). Deficits in Pre-attentive Processing of Spatial Location and Negative Symptoms in Subjects at Clinical High Risk for Schizophrenia. Frontiers in Psychiatry. 11. 629144–629144. 17 indexed citations
3.
Dubin, Marc J., Conor Liston, Michael Avissar, Irena Ilieva, & Faith M. Gunning. (2017). Network-Guided Transcranial Magnetic Stimulation for Depression. Current Behavioral Neuroscience Reports. 4(1). 70–77. 17 indexed citations
4.
Avissar, Michael, Irena Ilieva, Matteo Respino, et al.. (2017). Functional connectivity of the left DLPFC to striatum predicts treatment response of depression to TMS. Brain stimulation. 10(5). 919–925. 110 indexed citations
5.
Avissar, Michael & Daniel C. Javitt. (2017). Mismatch negativity: A simple and useful biomarker of N-methyl-d-aspartate receptor (NMDAR)-type glutamate dysfunction in schizophrenia. Schizophrenia Research. 191. 1–4. 28 indexed citations
6.
Avissar, Michael, et al.. (2017). Meta-analysis of mismatch negativity to simple versus complex deviants in schizophrenia. Schizophrenia Research. 191. 25–34. 55 indexed citations
8.
Avissar, Michael, John H. Wittig, James C. Saunders, & Thomas D. Parsons. (2013). Refractoriness Enhances Temporal Coding by Auditory Nerve Fibers. Journal of Neuroscience. 33(18). 7681–7690. 24 indexed citations
9.
Furman, Adam C., Michael Avissar, & James C. Saunders. (2006). The effects of intense sound exposure on phase locking in the chick (Gallus domesticus) cochlear nerve. European Journal of Neuroscience. 24(7). 2003–2010. 7 indexed citations
10.
Spassova, Maria A., Michael Avissar, Adam C. Furman, et al.. (2004). Evidence That Rapid Vesicle Replenishment of the Synaptic Ribbon Mediates Recovery from Short-Term Adaptation at the Hair Cell Afferent Synapse. Journal of the Association for Research in Otolaryngology. 5(4). 376–390. 68 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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