Jeffrey B. Mulligan

685 total citations
44 papers, 488 citations indexed

About

Jeffrey B. Mulligan is a scholar working on Cognitive Neuroscience, Computer Vision and Pattern Recognition and Social Psychology. According to data from OpenAlex, Jeffrey B. Mulligan has authored 44 papers receiving a total of 488 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Cognitive Neuroscience, 14 papers in Computer Vision and Pattern Recognition and 11 papers in Social Psychology. Recurrent topics in Jeffrey B. Mulligan's work include Visual perception and processing mechanisms (21 papers), Color Science and Applications (11 papers) and Gaze Tracking and Assistive Technology (7 papers). Jeffrey B. Mulligan is often cited by papers focused on Visual perception and processing mechanisms (21 papers), Color Science and Applications (11 papers) and Gaze Tracking and Assistive Technology (7 papers). Jeffrey B. Mulligan collaborates with scholars based in United States, Germany and United Kingdom. Jeffrey B. Mulligan's co-authors include Albert J. Ahumada, Donald I. A. MacLeod, Lucia Arsintescu, Erin E. Flynn‐Evans, Leland S. Stone, Ken Nakayama, Gerald Silverman, Kevin B. Gregory, Lawrence K. Cormack and Andrew B. Watson and has published in prestigious journals such as Vision Research, Journal of the Optical Society of America A and Information Fusion.

In The Last Decade

Jeffrey B. Mulligan

40 papers receiving 465 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jeffrey B. Mulligan United States 14 225 144 98 96 94 44 488
Graham K Edgar United Kingdom 13 416 1.8× 121 0.8× 50 0.5× 201 2.1× 56 0.6× 47 644
Vincent Nguyen Australia 12 280 1.2× 46 0.3× 24 0.2× 37 0.4× 51 0.5× 50 585
Brent R. Beutter United States 12 552 2.5× 216 1.5× 36 0.4× 56 0.6× 35 0.4× 45 668
Andrew Haun United States 15 511 2.3× 246 1.7× 76 0.8× 69 0.7× 71 0.8× 38 859
A. Dobbins United States 11 568 2.5× 158 1.1× 56 0.6× 69 0.7× 45 0.5× 18 701
S. P. McKee United States 13 535 2.4× 127 0.9× 95 1.0× 73 0.8× 41 0.4× 19 611
Andrew J. Schofield United Kingdom 16 612 2.7× 186 1.3× 192 2.0× 129 1.3× 75 0.8× 54 767
Koichi Shimono Japan 10 305 1.4× 167 1.2× 30 0.3× 63 0.7× 32 0.3× 36 491
Kazumichi Matsumiya Japan 14 469 2.1× 140 1.0× 17 0.2× 85 0.9× 95 1.0× 70 634
Richard V. Sansbury United States 7 465 2.1× 71 0.5× 167 1.7× 52 0.5× 35 0.4× 8 534

Countries citing papers authored by Jeffrey B. Mulligan

Since Specialization
Citations

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

Fields of papers citing papers by Jeffrey B. Mulligan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jeffrey B. Mulligan. 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 Jeffrey B. Mulligan. The network helps show where Jeffrey B. Mulligan may publish in the future.

Co-authorship network of co-authors of Jeffrey B. Mulligan

This figure shows the co-authorship network connecting the top 25 collaborators of Jeffrey B. Mulligan. A scholar is included among the top collaborators of Jeffrey B. Mulligan 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 Jeffrey B. Mulligan. Jeffrey B. Mulligan 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.
Mulligan, Jeffrey B.. (2020). Evaluation of tablet-based methods for assessment of contrast sensitivity. Electronic Imaging. 32(11). 210–1. 1 indexed citations
2.
Mulligan, Jeffrey B., et al.. (2019). A Metric to Quantify Shared Visual Attention in Two-Person Teams. mediaTUM (Technical University of Munich).
3.
Mulligan, Jeffrey B.. (2018). Statistical Identification of Fixations in Noisy Eye Movement Data. Electronic Imaging. 30(14). 1–7. 3 indexed citations
4.
Flynn‐Evans, Erin E., et al.. (2018). Sleep and neurobehavioral performance vary by work start time during non-traditional day shifts. Sleep Health. 4(5). 476–484. 28 indexed citations
5.
Mulligan, Jeffrey B., et al.. (2016). Measuring and Modeling Shared Visual Attention. Purdue e-Pubs (Purdue University System). 1 indexed citations
6.
Mulligan, Jeffrey B.. (2012). A GPU-accelerated software eye tracking system. 265–268. 7 indexed citations
7.
Ahumada, Albert J., Mary K. Kaiser, & Jeffrey B. Mulligan. (2009). The dynamic range of visual imagery in space. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 7240. 72400M–72400M. 2 indexed citations
8.
Meyer, Georg, Jeffrey B. Mulligan, & Sophie Wuerger. (2003). Continuous audio–visual digit recognition using N-best decision fusion. Information Fusion. 5(2). 91–101. 22 indexed citations
9.
Mulligan, Jeffrey B.. (2002). A software-based eye tracking system for the study of air-traffic displays. 69–69. 3 indexed citations
10.
Watson, Andrew B., et al.. (1999). <title>Design and performance of a digital video quality metric</title>. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 3644. 168–174. 33 indexed citations
11.
Mulligan, Jeffrey B.. (1997). Image processing for improved eye-tracking accuracy. Behavior Research Methods, Instruments, & Computers. 29(1). 54–65. 25 indexed citations
12.
Mulligan, Jeffrey B.. (1997). <title>Application of temporal error diffusion to motion JPEG</title>. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 3016. 288–295. 1 indexed citations
13.
Beutter, Brent R., Jeffrey B. Mulligan, & Leland S. Stone. (1996). The Barberplaid Illusion: Plaid Motion is Biased by Elongated Apertures. Vision Research. 36(19). 3061–3075. 13 indexed citations
14.
Mulligan, Jeffrey B. & Brent R. Beutter. (1995). Eye-Movement Tracking Using Compressed Video Images. SaE9–SaE9. 4 indexed citations
15.
Mulligan, Jeffrey B. & Albert J. Ahumada. (1992). Principled halftoning based on human vision models. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 1666. 109–109. 50 indexed citations
16.
Mulligan, Jeffrey B. & Donald I. A. MacLeod. (1991). Visual sensitivity to spatially sampled modulation in human observers. Vision Research. 31(5). 895–905. 3 indexed citations
17.
Mulligan, Jeffrey B.. (1990). <title>Digital halftoning methods for selectively partitioning error into achromatic and chromatic channels</title>. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 1249. 261–270. 5 indexed citations
18.
Ahumada, Albert J. & Jeffrey B. Mulligan. (1990). <title>Learning receptor positions from imperfectly known motions</title>. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 1249. 124–134. 4 indexed citations
19.
Stone, Leland S., Jeffrey B. Mulligan, & Andrew B. Watson. (1988). Contrast affects the perceived direction of a moving plaid. Annual Meeting Optical Society of America. THS4–THS4. 1 indexed citations
20.
Mulligan, Jeffrey B. & Donald I. A. MacLeod. (1988). Reciprocity between luminance and dot density in the perception of brightness. Vision Research. 28(4). 503–519. 21 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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