Frank Eisner

4.0k total citations · 1 hit paper
38 papers, 2.5k citations indexed

About

Frank Eisner is a scholar working on Cognitive Neuroscience, Experimental and Cognitive Psychology and Social Psychology. According to data from OpenAlex, Frank Eisner has authored 38 papers receiving a total of 2.5k indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Cognitive Neuroscience, 22 papers in Experimental and Cognitive Psychology and 6 papers in Social Psychology. Recurrent topics in Frank Eisner's work include Neuroscience and Music Perception (12 papers), Multisensory perception and integration (11 papers) and Phonetics and Phonology Research (11 papers). Frank Eisner is often cited by papers focused on Neuroscience and Music Perception (12 papers), Multisensory perception and integration (11 papers) and Phonetics and Phonology Research (11 papers). Frank Eisner collaborates with scholars based in Netherlands, United Kingdom and Germany. Frank Eisner's co-authors include Sophie K. Scott, James M. McQueen, Disa Sauter, Jonas Obleser, Paul Ekman, Carolyn McGettigan, Andrew J. Calder, Sonja A. Kotz, Julia Erb and Molly J. Henry and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Neuroscience and Nature reviews. Neuroscience.

In The Last Decade

Frank Eisner

37 papers receiving 2.5k citations

Hit Papers

Cross-cultural recognition of basic emotions through nonv... 2010 2026 2015 2020 2010 100 200 300 400

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Frank Eisner Netherlands 21 1.7k 1.4k 523 420 275 38 2.5k
Carolyn McGettigan United Kingdom 26 1.9k 1.1× 1.3k 0.9× 552 1.1× 320 0.8× 346 1.3× 87 2.6k
Diana Van Lancker United States 27 1.9k 1.2× 1.3k 0.9× 300 0.6× 706 1.7× 228 0.8× 59 2.9k
Jeffery A. Jones Canada 28 1.8k 1.1× 1.5k 1.1× 374 0.7× 430 1.0× 161 0.6× 79 2.7k
Lynne C. Nygaard United States 22 1.0k 0.6× 2.0k 1.4× 222 0.4× 555 1.3× 470 1.7× 71 2.6k
Barbara A. Church United States 23 1.2k 0.7× 672 0.5× 220 0.4× 777 1.9× 95 0.3× 60 1.8k
Francisco Lacerda Sweden 15 853 0.5× 1.4k 1.0× 120 0.2× 1.5k 3.5× 220 0.8× 76 2.6k
Marianne Latinus France 25 2.0k 1.2× 1.2k 0.8× 326 0.6× 198 0.5× 196 0.7× 50 2.5k
Shari R. Baum Canada 37 2.8k 1.7× 2.1k 1.5× 299 0.6× 1.7k 4.0× 210 0.8× 149 3.9k
Denis Burnham Australia 35 1.9k 1.1× 2.6k 1.8× 263 0.5× 2.2k 5.3× 312 1.1× 184 4.3k
Ignatius G. Mattingly United States 12 1.2k 0.7× 1.8k 1.3× 406 0.8× 727 1.7× 431 1.6× 36 2.7k

Countries citing papers authored by Frank Eisner

Since Specialization
Citations

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

Fields of papers citing papers by Frank Eisner

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Frank Eisner

This figure shows the co-authorship network connecting the top 25 collaborators of Frank Eisner. A scholar is included among the top collaborators of Frank Eisner 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 Frank Eisner. Frank Eisner 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.
Formisano, Elia, et al.. (2020). Interleaved lexical and audiovisual information can retune phoneme boundaries. Attention Perception & Psychophysics. 82(4). 2018–2026. 3 indexed citations
2.
Hausfeld, Lars Gutschalk, et al.. (2020). Neural Correlates of Phonetic Adaptation as Induced by Lexical and Audiovisual Context. Journal of Cognitive Neuroscience. 32(11). 2145–2158. 3 indexed citations
3.
Formisano, Elia, et al.. (2020). Audiovisual and lexical cues do not additively enhance perceptual adaptation. Psychonomic Bulletin & Review. 27(4). 707–715. 6 indexed citations
4.
Hervais‐Adelman, Alexis, Uttam Kumar, Ramesh Kumar Mishra, et al.. (2019). Learning to read recycles visual cortical networks without destruction. Science Advances. 5(9). eaax0262–eaax0262. 47 indexed citations
5.
Sauter, Disa, Onno Crasborn, Roza Gizem Kamiloglu, et al.. (2019). Human emotional vocalizations can develop in the absence of auditory learning.. Emotion. 20(8). 1435–1445. 8 indexed citations
6.
McQueen, James M., et al.. (2019). Specialized memory systems for learning spoken words.. Journal of Experimental Psychology Learning Memory and Cognition. 46(1). 189–199. 3 indexed citations
7.
8.
Skeide, Michael A., Uttam Kumar, Ramesh Kumar Mishra, et al.. (2017). Learning to read alters cortico-subcortical cross-talk in the visual system of illiterates. Science Advances. 3(5). e1602612–e1602612. 52 indexed citations
9.
McGettigan, Carolyn, Kyle Jasmin, Frank Eisner, et al.. (2017). You talkin’ to me? Communicative talker gaze activates left-lateralized superior temporal cortex during perception of degraded speech. Neuropsychologia. 100. 51–63. 8 indexed citations
10.
McQueen, James M., Frank Eisner, & Dennis Norris. (2016). When brain regions talk to each other during speech processing, what are they talking about? Commentary on Gow and Olson (2015). Language Cognition and Neuroscience. 31(7). 860–863. 6 indexed citations
12.
Eisner, Frank, Alissa Melinger, & Andréa Weber. (2013). Constraints on the Transfer of Perceptual Learning in Accented Speech. Frontiers in Psychology. 4. 148–148. 23 indexed citations
13.
Erb, Julia, Molly J. Henry, Frank Eisner, & Jonas Obleser. (2012). Auditory skills and brain morphology predict individual differences in adaptation to degraded speech. Neuropsychologia. 50(9). 2154–2164. 47 indexed citations
14.
Sauter, Disa, Frank Eisner, Paul Ekman, & Sophie K. Scott. (2010). Cross-cultural recognition of basic emotions through nonverbal emotional vocalizations. Proceedings of the National Academy of Sciences. 107(6). 2408–2412. 477 indexed citations breakdown →
15.
Eisner, Frank, Carolyn McGettigan, Andrew Faulkner, Stuart Rosen, & Sophie K. Scott. (2010). Inferior Frontal Gyrus Activation Predicts Individual Differences in Perceptual Learning of Cochlear-Implant Simulations. Journal of Neuroscience. 30(21). 7179–7186. 81 indexed citations
16.
Scott, Sophie K., Carolyn McGettigan, & Frank Eisner. (2009). A little more conversation, a little less action — candidate roles for the motor cortex in speech perception. Nature reviews. Neuroscience. 10(4). 295–302. 178 indexed citations
17.
Obleser, Jonas, Frank Eisner, & Sonja A. Kotz. (2008). Bilateral Speech Comprehension Reflects Differential Sensitivity to Spectral and Temporal Features. Journal of Neuroscience. 28(32). 8116–8123. 165 indexed citations
18.
Garrido, Lúcia, Frank Eisner, Carolyn McGettigan, et al.. (2008). Developmental phonagnosia: A selective deficit of vocal identity recognition. Neuropsychologia. 47(1). 123–131. 103 indexed citations
19.
Obleser, Jonas & Frank Eisner. (2008). Pre-lexical abstraction of speech in the auditory cortex. Trends in Cognitive Sciences. 13(1). 14–19. 121 indexed citations
20.
Eisner, Frank & James M. McQueen. (2005). The specificity of perceptual learning in speech processing. Perception & Psychophysics. 67(2). 224–238. 251 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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