Joshua D. Cosman

1.7k total citations
41 papers, 1.0k citations indexed

About

Joshua D. Cosman is a scholar working on Cognitive Neuroscience, Experimental and Cognitive Psychology and Neurology. According to data from OpenAlex, Joshua D. Cosman has authored 41 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Cognitive Neuroscience, 9 papers in Experimental and Cognitive Psychology and 6 papers in Neurology. Recurrent topics in Joshua D. Cosman's work include Neural and Behavioral Psychology Studies (20 papers), Visual perception and processing mechanisms (17 papers) and Neural dynamics and brain function (11 papers). Joshua D. Cosman is often cited by papers focused on Neural and Behavioral Psychology Studies (20 papers), Visual perception and processing mechanisms (17 papers) and Neural dynamics and brain function (11 papers). Joshua D. Cosman collaborates with scholars based in United States, Denmark and Switzerland. Joshua D. Cosman's co-authors include Shaun P. Vecera, Joan Severson, Hyunkyu Lee, Arthur F. Kramer, Pauline L. Baniqued, Michelle W. Voss, Geoffrey F. Woodman, Jeffrey D. Schall, Wolf Zinke and Monica N. Lees and has published in prestigious journals such as SHILAP Revista de lepidopterología, Current Biology and Psychological Science.

In The Last Decade

Joshua D. Cosman

40 papers receiving 974 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Joshua D. Cosman United States 19 611 269 150 139 67 41 1.0k
Hajime Otani United States 17 624 1.0× 267 1.0× 216 1.4× 246 1.8× 100 1.5× 55 1.1k
Adam Galpin United Kingdom 16 340 0.6× 80 0.3× 238 1.6× 81 0.6× 46 0.7× 42 811
Michael Tombu Canada 13 1.3k 2.1× 286 1.1× 306 2.0× 164 1.2× 193 2.9× 18 1.8k
Katherine L. Roberts United Kingdom 16 673 1.1× 220 0.8× 306 2.0× 88 0.6× 108 1.6× 37 1.2k
Jacqueline Boccanfuso United States 6 726 1.2× 378 1.4× 93 0.6× 175 1.3× 300 4.5× 6 1.4k
David E. Fencsik United States 9 942 1.5× 181 0.7× 250 1.7× 84 0.6× 46 0.7× 16 1.1k
Eun Suk Kong South Korea 5 514 0.8× 358 1.3× 95 0.6× 169 1.2× 213 3.2× 12 1.2k
Mark Van Selst Canada 13 1.1k 1.7× 389 1.4× 323 2.2× 283 2.0× 69 1.0× 16 1.5k
Drew Morris United States 14 423 0.7× 300 1.1× 163 1.1× 47 0.3× 84 1.3× 28 848
Jean Rintoul United States 3 514 0.8× 358 1.3× 84 0.6× 168 1.2× 210 3.1× 3 1.1k

Countries citing papers authored by Joshua D. Cosman

Since Specialization
Citations

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

Fields of papers citing papers by Joshua D. Cosman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Joshua D. Cosman. 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 Joshua D. Cosman. The network helps show where Joshua D. Cosman may publish in the future.

Co-authorship network of co-authors of Joshua D. Cosman

This figure shows the co-authorship network connecting the top 25 collaborators of Joshua D. Cosman. A scholar is included among the top collaborators of Joshua D. Cosman 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 Joshua D. Cosman. Joshua D. Cosman 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.
Johnson, Shane, Joan Severson, Ray Dorsey, et al.. (2024). Wearable Sensor-Based Assessments for Remotely Screening Early-Stage Parkinson’s Disease. Sensors. 24(17). 5637–5637. 4 indexed citations
2.
Yang, Liuqing, Jie Shen, Michelle Crouthamel, et al.. (2024). Improved measurement of disease progression in people living with early Parkinson’s disease using digital health technologies. SHILAP Revista de lepidopterología. 4(1). 49–49. 7 indexed citations
3.
Burton, Jackson, Bilal Abuasal, Jamie N. Connarn, et al.. (2023). Future Opportunities in Drug Development: American Society for Clinical Pharmacology and Therapeutics Pharmacometrics and Pharmacokinetics Community Vision. Clinical Pharmacology & Therapeutics. 114(3). 507–510.
4.
Zinke, Wolf, et al.. (2022). Frontal eye fields in macaque monkeys: prefrontal and premotor contributions to visually guided saccades. Cerebral Cortex. 32(22). 5083–5107. 4 indexed citations
5.
Roussos, George, David Hill, Ariel V. Dowling, et al.. (2022). Identifying and characterising sources of variability in digital outcome measures in Parkinson’s disease. npj Digital Medicine. 5(1). 93–93. 15 indexed citations
6.
Hill, David, Diane Stephenson, Jordan Brayanov, et al.. (2022). Metadata Framework to Support Deployment of Digital Health Technologies in Clinical Trials in Parkinson’s Disease. Sensors. 22(6). 2136–2136. 13 indexed citations
7.
Rubin, Leah H., Joan Severson, Thomas D. Marcotte, et al.. (2021). Tablet-Based Cognitive Impairment Screening for Adults With HIV Seeking Clinical Care: Observational Study. JMIR Mental Health. 8(9). e25660–e25660. 11 indexed citations
8.
Cosman, Joshua D., et al.. (2018). Prefrontal Control of Visual Distraction. Current Biology. 28(3). 414–420.e3. 91 indexed citations
9.
Cosman, Joshua D., et al.. (2016). Enhanced spatial resolution on figures versus grounds. Attention Perception & Psychophysics. 78(5). 1444–1452. 4 indexed citations
10.
Cosman, Joshua D., J. Toby Mordkoff, & Shaun P. Vecera. (2016). Stimulus recognition occurs under high perceptual load: Evidence from correlated flankers.. Journal of Experimental Psychology Human Perception & Performance. 42(12). 2077–2083. 7 indexed citations
11.
Cosman, Joshua D., et al.. (2014). Macaque monkeys exhibit event-related potentials indexing distractor suppression during visual search. Journal of Vision. 14(10). 518–518. 1 indexed citations
12.
Kranz, Michael, Michelle W. Voss, Hyunkyu Lee, et al.. (2014). Cognitive training with casual video games: points to. 1 indexed citations
13.
Zhao, Libo, Joshua D. Cosman, Daniel B. Vatterott, Prahlad Gupta, & Shaun P. Vecera. (2014). Visual statistical learning can drive object-based attentional selection. Attention Perception & Psychophysics. 76(8). 2240–2248. 9 indexed citations
14.
Cosman, Joshua D. & Shaun P. Vecera. (2012). Context-dependent control over attentional capture.. Journal of Experimental Psychology Human Perception & Performance. 39(3). 836–848. 57 indexed citations
15.
Gaspelin, Nicholas, et al.. (2012). Does low perceptual load enable capture by colour singletons?. Journal of Cognitive Psychology. 24(6). 735–750. 7 indexed citations
16.
Cosman, Joshua D. & Shaun P. Vecera. (2012). Object-based attention overrides perceptual load to modulate visual distraction.. Journal of Experimental Psychology Human Perception & Performance. 38(3). 576–579. 36 indexed citations
17.
Cosman, Joshua D., et al.. (2011). Perceptual load effect is determined by resource demand and data limitation. Journal of Vision. 11(11). 247–247. 5 indexed citations
18.
Cosman, Joshua D., Monica N. Lees, John D. Lee, M. Rizzo, & Shaun P. Vecera. (2011). Impaired Attentional Disengagement in Older Adults With Useful Field of View Decline. The Journals of Gerontology Series B. 67(4). 405–412. 22 indexed citations
19.
Cosman, Joshua D. & Shaun P. Vecera. (2011). The contents of visual working memory reduce uncertainty during visual search. Attention Perception & Psychophysics. 73(4). 996–1002. 19 indexed citations
20.
Cosman, Joshua D., et al.. (2010). An effect of figure-ground assignment: Perceptual enhancement. Journal of Vision. 6(6). 751–751. 1 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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