Martin Pienkowski

1.8k total citations
34 papers, 1.3k citations indexed

About

Martin Pienkowski is a scholar working on Cognitive Neuroscience, Sensory Systems and Speech and Hearing. According to data from OpenAlex, Martin Pienkowski has authored 34 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Cognitive Neuroscience, 24 papers in Sensory Systems and 6 papers in Speech and Hearing. Recurrent topics in Martin Pienkowski's work include Hearing, Cochlea, Tinnitus, Genetics (24 papers), Hearing Loss and Rehabilitation (20 papers) and Neural dynamics and brain function (16 papers). Martin Pienkowski is often cited by papers focused on Hearing, Cochlea, Tinnitus, Genetics (24 papers), Hearing Loss and Rehabilitation (20 papers) and Neural dynamics and brain function (16 papers). Martin Pienkowski collaborates with scholars based in Canada, United States and Sweden. Martin Pienkowski's co-authors include Jos J. Eggermont, Robert V. Harrison, Raymundo Munguia, Gerhard Andersson, Nicolas Dauman, Claudia Coelho, Richard S. Tyler, Hyung Jin Jun, Anthony T. Cacace and Brian C. J. Moore and has published in prestigious journals such as Journal of Neuroscience, PLoS ONE and NeuroImage.

In The Last Decade

Martin Pienkowski

34 papers receiving 1.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Martin Pienkowski Canada 21 1.0k 847 409 246 97 34 1.3k
Paul H. Délano Chile 18 630 0.6× 607 0.7× 176 0.4× 282 1.1× 116 1.2× 85 1.1k
Phillip E. Gander United States 21 1.4k 1.4× 754 0.9× 176 0.4× 337 1.4× 289 3.0× 49 1.6k
Garreth Prendergast United Kingdom 18 1.5k 1.5× 1.1k 1.4× 727 1.8× 299 1.2× 101 1.0× 50 1.6k
Kelly C. Harris United States 17 792 0.8× 427 0.5× 219 0.5× 121 0.5× 146 1.5× 43 1.1k
Emile de Kleine Netherlands 19 950 0.9× 1.1k 1.3× 125 0.3× 755 3.1× 162 1.7× 42 1.3k
Dave R.M. Langers Netherlands 20 1.2k 1.2× 772 0.9× 73 0.2× 462 1.9× 217 2.2× 31 1.5k
Birgitta Larsby Sweden 25 1.2k 1.2× 600 0.7× 758 1.9× 413 1.7× 192 2.0× 85 1.9k
Peter Hubka Germany 15 687 0.7× 414 0.5× 91 0.2× 65 0.3× 186 1.9× 32 853
Fatima T. Husain United States 24 1.8k 1.8× 1.4k 1.7× 185 0.5× 875 3.6× 486 5.0× 74 2.2k
H. Pratt Israel 14 656 0.7× 432 0.5× 131 0.3× 196 0.8× 75 0.8× 25 900

Countries citing papers authored by Martin Pienkowski

Since Specialization
Citations

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

Fields of papers citing papers by Martin Pienkowski

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Martin Pienkowski

This figure shows the co-authorship network connecting the top 25 collaborators of Martin Pienkowski. A scholar is included among the top collaborators of Martin Pienkowski 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 Martin Pienkowski. Martin Pienkowski 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.
Liu, Geoffrey, Jun Zhang, O. Hall, et al.. (2023). 866P Prognostic performance of a genome-wide methylome enrichment platform in head and neck cancer. Annals of Oncology. 34. S561–S561. 1 indexed citations
2.
Pienkowski, Martin. (2018). Rationale and Efficacy of Sound Therapies for Tinnitus and Hyperacusis. Neuroscience. 407. 120–134. 47 indexed citations
3.
Pienkowski, Martin. (2017). Can long-term exposure to non-damaging noise lead to hyperacusis or tinnitus?. 6. 83–94. 1 indexed citations
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5.
6.
Munguia, Raymundo, Martin Pienkowski, & J. J. Eggermont. (2013). Spontaneous firing rate changes in cat primary auditory cortex following long-term exposure to non-traumatic noise: Tinnitus without hearing loss?. Neuroscience Letters. 546. 46–50. 22 indexed citations
7.
Pienkowski, Martin, Raymundo Munguia, & Jos J. Eggermont. (2012). Effects of passive, moderate-level sound exposure on the mature auditory cortex: Spectral edges, spectrotemporal density, and real-world noise. Hearing Research. 296. 121–130. 31 indexed citations
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Eggermont, Jos J., Raymundo Munguia, Martin Pienkowski, & G. Shaw. (2011). Comparison of LFP-Based and Spike-Based Spectro-Temporal Receptive Fields and Cross-Correlation in Cat Primary Auditory Cortex. PLoS ONE. 6(5). e20046–e20046. 37 indexed citations
10.
Pienkowski, Martin & Mats Ulfendahl. (2011). Differential Effects of Salicylate, Quinine, and Furosemide on Guinea Pig Inner and Outer Hair Cell Function Revealed by the Input‐Output Relation of the Auditory Brainstem Response. Journal of the American Academy of Audiology. 22(2). 104–112. 10 indexed citations
11.
Pienkowski, Martin & Jos J. Eggermont. (2011). Cortical tonotopic map plasticity and behavior. Neuroscience & Biobehavioral Reviews. 35(10). 2117–2128. 67 indexed citations
12.
Pienkowski, Martin & Jos J. Eggermont. (2010). Nonlinear cross-frequency interactions in primary auditory cortex spectrotemporal receptive fields: a Wiener–Volterra analysis. Journal of Computational Neuroscience. 28(2). 285–303. 11 indexed citations
13.
Pienkowski, Martin & Jos J. Eggermont. (2010). Passive exposure of adult cats to moderate-level tone pip ensembles differentially decreases AI and AII responsiveness in the exposure frequency range. Hearing Research. 268(1-2). 151–162. 32 indexed citations
14.
15.
Pienkowski, Martin & Jos J. Eggermont. (2009). Effects of adaptation on spectrotemporal receptive fields in primary auditory cortex. Neuroreport. 20(13). 1198–1203. 15 indexed citations
16.
Chugh, Brige, Jason P. Lerch, Lisa Yu, et al.. (2009). Measurement of cerebral blood volume in mouse brain regions using micro-computed tomography. NeuroImage. 47(4). 1312–1318. 96 indexed citations
17.
Pienkowski, Martin & Björn Hagerman. (2009). Auditory intensity discrimination as a function of level-rove and tone duration in normal-hearing and impaired subjects: The “mid-level hump” revisited. Hearing Research. 253(1-2). 107–115. 11 indexed citations
18.
Noreña, Arnaud, Boris Gourévitch, Martin Pienkowski, G. Shaw, & Jos J. Eggermont. (2008). Increasing Spectrotemporal Sound Density Reveals an Octave-Based Organization in Cat Primary Auditory Cortex. Journal of Neuroscience. 28(36). 8885–8896. 39 indexed citations
19.
James, Adrian L., Robert V. Harrison, Martin Pienkowski, Hilmi R. Dajani, & Richard J. Mount. (2005). Dynamics of real time DPOAE contralateral suppression in chinchillas and humansDinámica de la supresión contralateral de las DPOAE en tiempo real en chinchillas y humanos. International Journal of Audiology. 44(2). 118–129. 35 indexed citations
20.
Pienkowski, Martin & Robert V. Harrison. (2005). Tone responses in core versus belt auditory cortex in the developing chinchilla. The Journal of Comparative Neurology. 492(1). 101–109. 8 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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