Dennis M. Shaffer

1.3k total citations
34 papers, 469 citations indexed

About

Dennis M. Shaffer is a scholar working on Cognitive Neuroscience, Biomedical Engineering and Orthopedics and Sports Medicine. According to data from OpenAlex, Dennis M. Shaffer has authored 34 papers receiving a total of 469 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Cognitive Neuroscience, 10 papers in Biomedical Engineering and 7 papers in Orthopedics and Sports Medicine. Recurrent topics in Dennis M. Shaffer's work include Visual perception and processing mechanisms (10 papers), Sports Dynamics and Biomechanics (10 papers) and Sports Performance and Training (7 papers). Dennis M. Shaffer is often cited by papers focused on Visual perception and processing mechanisms (10 papers), Sports Dynamics and Biomechanics (10 papers) and Sports Performance and Training (7 papers). Dennis M. Shaffer collaborates with scholars based in United States, Canada and Germany. Dennis M. Shaffer's co-authors include Michael K. McBeath, Marianna D. Eddy, Richard S. Marken, Frank H. Durgin, Igor Dolgov, Mary K. Kaiser, John A. Sweeney, Christine Krisky, Thomas G. Sugar and Morgan Williams and has published in prestigious journals such as Science, Psychological Science and Experimental Brain Research.

In The Last Decade

Dennis M. Shaffer

31 papers receiving 439 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Dennis M. Shaffer United States 12 266 113 72 57 56 34 469
Michael K. McBeath United States 18 684 2.6× 219 1.9× 128 1.8× 103 1.8× 275 4.9× 74 1.0k
Gregory Burton United States 16 754 2.8× 209 1.8× 66 0.9× 85 1.5× 168 3.0× 30 874
Richard Byrne Australia 12 98 0.4× 96 0.8× 75 1.0× 45 0.8× 33 0.6× 25 464
Sheena Rogers United States 8 380 1.4× 148 1.3× 51 0.7× 16 0.3× 118 2.1× 13 656
Endre E. Kádár United Kingdom 11 227 0.9× 141 1.2× 55 0.8× 75 1.3× 28 0.5× 29 450
Kazunori Terada Japan 13 189 0.7× 301 2.7× 30 0.4× 23 0.4× 84 1.5× 64 603
Sergio Cesare Masin Italy 11 446 1.7× 150 1.3× 54 0.8× 14 0.2× 126 2.3× 86 614
Scott Glover United Kingdom 13 493 1.9× 424 3.8× 273 3.8× 34 0.6× 152 2.7× 19 757
Thomas Bührmann United Kingdom 8 423 1.6× 214 1.9× 38 0.5× 33 0.6× 54 1.0× 10 549
Verónica C. Ramenzoni United States 14 470 1.8× 479 4.2× 219 3.0× 21 0.4× 105 1.9× 29 789

Countries citing papers authored by Dennis M. Shaffer

Since Specialization
Citations

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

Fields of papers citing papers by Dennis M. Shaffer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dennis M. Shaffer

This figure shows the co-authorship network connecting the top 25 collaborators of Dennis M. Shaffer. A scholar is included among the top collaborators of Dennis M. Shaffer 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 Dennis M. Shaffer. Dennis M. Shaffer 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.
Shaffer, Dennis M., et al.. (2019). Manipulation of expended effort and intent does not affect estimates of slant or distance.. Journal of Experimental Psychology Human Perception & Performance. 45(7). 855–862. 1 indexed citations
2.
Shaffer, Dennis M., et al.. (2018). Perception of objects oriented downward from a vertical position. Attention Perception & Psychophysics. 80(8). 1988–1995.
3.
Marken, Richard S. & Dennis M. Shaffer. (2018). The power law as behavioral illusion: reappraising the reappraisals. Experimental Brain Research. 236(5). 1537–1544. 1 indexed citations
4.
McBeath, Michael K., et al.. (2018). The geometry of consciousness. Consciousness and Cognition. 64. 207–215. 4 indexed citations
5.
Shaffer, Dennis M., et al.. (2018). Pedal and haptic estimates of slant suggest a common underlying representation. Acta Psychologica. 192. 194–199.
6.
Marken, Richard S. & Dennis M. Shaffer. (2017). The power law of movement: an example of a behavioral illusion. Experimental Brain Research. 235(6). 1835–1842. 9 indexed citations
7.
Shaffer, Dennis M., et al.. (2015). Pitching people with an inversion table: Estimates of body orientation are tipped as much as those of visual surfaces. Attention Perception & Psychophysics. 78(2). 700–706. 4 indexed citations
8.
Shaffer, Dennis M., et al.. (2015). Palm board and verbal estimates of slant reflect the same perceptual representation. Attention Perception & Psychophysics. 78(2). 663–673. 3 indexed citations
9.
Shaffer, Dennis M., et al.. (2015). Manual anchoring biases in slant estimation affect matches even for near surfaces. Psychonomic Bulletin & Review. 22(6). 1665–1670. 7 indexed citations
10.
Shaffer, Dennis M., et al.. (2014). Anchoring in action: Manual estimates of slant are powerfully biased toward initial hand orientation and are correlated with verbal report.. Journal of Experimental Psychology Human Perception & Performance. 40(3). 1203–1212. 15 indexed citations
11.
Hecht, Heiko, et al.. (2014). Slope estimation and viewing distance of the observer. Attention Perception & Psychophysics. 76(6). 1729–1738. 8 indexed citations
12.
Shaffer, Dennis M., et al.. (2013). Blind(fold)ed by science: A constant target-heading angle is used in visual and nonvisual pursuit. Psychonomic Bulletin & Review. 20(5). 923–934. 4 indexed citations
13.
Shaffer, Dennis M., et al.. (2013). Chasin’ choppers: using unpredictable trajectories to test theories of object interception. Attention Perception & Psychophysics. 75(7). 1496–1506. 25 indexed citations
14.
Shaffer, Dennis M., et al.. (2008). Evidence for a generic interceptive strategy. Perception & Psychophysics. 70(1). 145–157. 16 indexed citations
15.
Shaffer, Dennis M., et al.. (2008). The visual perception of lines on the road. Perception & Psychophysics. 70(8). 1571–1580. 5 indexed citations
16.
Shaffer, Dennis M. & Michael K. McBeath. (2005). Naive Beliefs in Baseball: Systematic Distortion in Perceived Time of Apex for Fly Balls.. Journal of Experimental Psychology Learning Memory and Cognition. 31(6). 1492–1501. 30 indexed citations
17.
Shaffer, Dennis M., et al.. (2003). A Linear Optical Trajectory Informs the Fielder Where to Run to the Side to Catch Fly Balls.. Journal of Experimental Psychology Human Perception & Performance. 29(6). 1244–1250. 19 indexed citations
18.
Shaffer, Dennis M., Christine Krisky, & John A. Sweeney. (2003). Frequency and Metrics of Square-Wave Jerks: Influences of Task-Demand Characteristics. Investigative Ophthalmology & Visual Science. 44(3). 1082–1082. 15 indexed citations
19.
Shaffer, Dennis M. & Michael K. McBeath. (2002). Baseball outfielders maintain a linear optical trajectory when tracking uncatchable fly balls.. Journal of Experimental Psychology Human Perception & Performance. 28(2). 335–348. 6 indexed citations
20.
McBeath, Michael K. & Dennis M. Shaffer. (1996). Baseball outfielders maintain a linear optical trajectory longer than optical acceleration cancellation when pursuing uncatchable fly balls. Investigative Ophthalmology & Visual Science. 37(3). 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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