David M. Eagleman

7.2k total citations
98 papers, 4.2k citations indexed

About

David M. Eagleman is a scholar working on Cognitive Neuroscience, Experimental and Cognitive Psychology and Social Psychology. According to data from OpenAlex, David M. Eagleman has authored 98 papers receiving a total of 4.2k indexed citations (citations by other indexed papers that have themselves been cited), including 64 papers in Cognitive Neuroscience, 37 papers in Experimental and Cognitive Psychology and 11 papers in Social Psychology. Recurrent topics in David M. Eagleman's work include Multisensory perception and integration (35 papers), Visual perception and processing mechanisms (30 papers) and Neural dynamics and brain function (24 papers). David M. Eagleman is often cited by papers focused on Multisensory perception and integration (35 papers), Visual perception and processing mechanisms (30 papers) and Neural dynamics and brain function (24 papers). David M. Eagleman collaborates with scholars based in United States, United Kingdom and Canada. David M. Eagleman's co-authors include Vani Pariyadath, P. Read Montague, Xu Cui, Chess Stetson, Alex O. Holcombe, Terrence J. Sejnowski, Anand K. Sarma, Cameron B. Jeter, Sacha B. Nelson and Deepak Sagaram and has published in prestigious journals such as Nature, Science and Neuron.

In The Last Decade

David M. Eagleman

97 papers receiving 4.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
David M. Eagleman United States 36 3.0k 1.8k 777 574 169 98 4.2k
H. Steven Scholte Netherlands 38 3.9k 1.3× 1.2k 0.6× 583 0.8× 486 0.8× 334 2.0× 117 5.0k
Richard Höchenberger Germany 12 2.0k 0.7× 840 0.5× 497 0.6× 290 0.5× 110 0.7× 18 3.1k
Iiro P. Jääskeläinen Finland 48 5.9k 2.0× 2.3k 1.2× 1.3k 1.7× 480 0.8× 377 2.2× 154 7.3k
Stefan Van der Stigchel Netherlands 41 4.5k 1.5× 1.2k 0.7× 740 1.0× 626 1.1× 392 2.3× 260 5.8k
Katharina von Kriegstein Germany 37 3.4k 1.1× 2.0k 1.1× 589 0.8× 396 0.7× 142 0.8× 92 4.5k
Daniel Algom Israel 36 2.6k 0.9× 1.4k 0.8× 756 1.0× 285 0.5× 129 0.8× 127 4.2k
Aaron R. Seitz United States 35 3.3k 1.1× 1.4k 0.7× 418 0.5× 492 0.9× 171 1.0× 165 4.6k
David Alais Australia 42 5.8k 1.9× 3.5k 1.9× 1.2k 1.6× 1.2k 2.1× 60 0.4× 188 6.9k
Ernst Pöppel Germany 38 4.1k 1.4× 1.5k 0.8× 1.0k 1.3× 294 0.5× 190 1.1× 151 5.6k
Ladan Shams United States 38 4.8k 1.6× 4.8k 2.6× 1.5k 1.9× 2.0k 3.5× 127 0.8× 85 6.8k

Countries citing papers authored by David M. Eagleman

Since Specialization
Citations

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

Fields of papers citing papers by David M. Eagleman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by David M. Eagleman. 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 David M. Eagleman. The network helps show where David M. Eagleman may publish in the future.

Co-authorship network of co-authors of David M. Eagleman

This figure shows the co-authorship network connecting the top 25 collaborators of David M. Eagleman. A scholar is included among the top collaborators of David M. Eagleman 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 David M. Eagleman. David M. Eagleman 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.
Brogaard, Berit, Morten Overgaard, Bennett L. Schwartz, et al.. (2017). Deaf hearing: Implicit discrimination of auditory content in a patient with mixed hearing loss. Philosophical Psychology. 30(1-2). 21–43. 3 indexed citations
2.
Flores, Benjamin, Jonathan A. Gross, Weidong Le, et al.. (2017). Diagnostic accuracy of tablet-based software for the detection of concussion. PLoS ONE. 12(7). e0179352–e0179352. 22 indexed citations
3.
Eagleman, David M., et al.. (2016). Enabling Individualized Criminal Sentencing While Reducing Subjectivity: A Tablet-Based Assessment of Recidivism Risk. The AMA Journal of Ethic. 18(3). 243–251. 2 indexed citations
4.
Bosley, Hannah G. & David M. Eagleman. (2015). Synesthesia in twins: Incomplete concordance in monozygotes suggests extragenic factors. Behavioural Brain Research. 286. 93–96. 16 indexed citations
5.
Viswanath, Humsini, Kenia M. Velasquez, Daisy G.Y. Thompson-Lake, et al.. (2015). Alterations in interhemispheric functional and anatomical connectivity are associated with tobacco smoking in humans. Frontiers in Human Neuroscience. 9. 116–116. 27 indexed citations
6.
Savjani, Ricky R., Kenia M. Velasquez, Daisy G.Y. Thompson-Lake, et al.. (2014). Characterizing white matter changes in cigarette smokers via diffusion tensor imaging. Drug and Alcohol Dependence. 145. 134–142. 56 indexed citations
7.
Plitt, Mark, Ricky R. Savjani, & David M. Eagleman. (2014). Are corporations people too? The neural correlates of moral judgments about companies and individuals. Social Neuroscience. 10(2). 113–125. 13 indexed citations
8.
Narayan, Manjari, et al.. (2013). Neural Networks of Colored Sequence Synesthesia. Journal of Neuroscience. 33(35). 14098–14106. 23 indexed citations
9.
Eagleman, David M.. (2013). Why Public Dissemination of Science Matters: A Manifesto. Journal of Neuroscience. 33(30). 12147–12149. 27 indexed citations
10.
Zamm, Anna, Gottfried Schlaug, David M. Eagleman, & Psyche Loui. (2013). Pathways to seeing music: Enhanced structural connectivity in colored-music synesthesia. NeuroImage. 74. 359–366. 43 indexed citations
11.
Eagleman, David M., et al.. (2009). Why Neuroscience Matters for Rational Drug Policy. University of Minnesota Digital Conservancy (University of Minnesota). 11(1). 7. 5 indexed citations
12.
Eagleman, David M.. (2009). What Neuroscience May Be Able to Tell Us about Criminal Behavior and Rehabilitation. SSRN Electronic Journal. 1 indexed citations
13.
Eagleman, David M.. (2009). The objectification of overlearned sequences: A new view of spatial sequence synesthesia. Cortex. 45(10). 1266–1277. 69 indexed citations
14.
Eagleman, David M.. (2008). Human time perception and its illusions. Current Opinion in Neurobiology. 18(2). 131–136. 281 indexed citations
15.
Cui, Xu, et al.. (2007). Vividness of mental imagery: Individual variability can be measured objectively. Vision Research. 47(4). 474–478. 276 indexed citations
16.
Stetson, Chess, Xu Cui, P. Read Montague, & David M. Eagleman. (2006). Motor-Sensory Recalibration Leads to an Illusory Reversal of Action and Sensation. Neuron. 51(5). 651–659. 246 indexed citations
17.
Eagleman, David M., Peter U. Tse, Dean V. Buonomano, et al.. (2005). Time and the Brain: How Subjective Time Relates to Neural Time. Journal of Neuroscience. 25(45). 10369–10371. 140 indexed citations
18.
Kline, Keith A., Alex O. Holcombe, & David M. Eagleman. (2005). Illusory motion reversal does not imply discrete processing: Reply to Rojas et al.. Vision Research. 46(6-7). 1158–1159. 11 indexed citations
19.
Eagleman, David M. & Alex O. Holcombe. (2002). Causality and the perception of time. Trends in Cognitive Sciences. 6(8). 323–325. 85 indexed citations
20.
Eagleman, David M.. (2001). Visual illusions and neurobiology. Nature reviews. Neuroscience. 2(12). 920–926. 222 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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