Matthew S. Peterson

3.1k total citations
66 papers, 2.3k citations indexed

About

Matthew S. Peterson is a scholar working on Cognitive Neuroscience, Experimental and Cognitive Psychology and Human-Computer Interaction. According to data from OpenAlex, Matthew S. Peterson has authored 66 papers receiving a total of 2.3k indexed citations (citations by other indexed papers that have themselves been cited), including 49 papers in Cognitive Neuroscience, 13 papers in Experimental and Cognitive Psychology and 11 papers in Human-Computer Interaction. Recurrent topics in Matthew S. Peterson's work include Neural and Behavioral Psychology Studies (41 papers), Visual perception and processing mechanisms (29 papers) and Gaze Tracking and Assistive Technology (10 papers). Matthew S. Peterson is often cited by papers focused on Neural and Behavioral Psychology Studies (41 papers), Visual perception and processing mechanisms (29 papers) and Gaze Tracking and Assistive Technology (10 papers). Matthew S. Peterson collaborates with scholars based in United States, Canada and United Kingdom. Matthew S. Peterson's co-authors include Arthur F. Kramer, Kirk I. Erickson, Stanley J. Colcombe, Louis Bherer, David E. Irwin, Jason S. McCarley, Ensar Becic, Melissa R. Beck, Paige E. Scalf and Ranxiao Frances Wang and has published in prestigious journals such as NeuroImage, Journal of Neurophysiology and Psychological Science.

In The Last Decade

Matthew S. Peterson

63 papers receiving 2.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Matthew S. Peterson United States 22 1.6k 564 272 250 243 66 2.3k
Soledad Ballesteros Spain 28 1.4k 0.9× 872 1.5× 93 0.3× 448 1.8× 235 1.0× 100 2.6k
Liana Palermo Italy 26 951 0.6× 480 0.9× 150 0.6× 314 1.3× 275 1.1× 83 2.1k
Tobias Loetscher Australia 26 1.1k 0.7× 347 0.6× 171 0.6× 267 1.1× 317 1.3× 95 2.6k
Christos A. Frantzidιs Greece 21 911 0.6× 520 0.9× 127 0.5× 188 0.8× 162 0.7× 66 1.6k
Artem V. Belopolsky Netherlands 28 3.2k 2.0× 753 1.3× 331 1.2× 138 0.6× 436 1.8× 74 3.7k
Bernard N’Kaoua France 23 1.0k 0.6× 209 0.4× 181 0.7× 293 1.2× 163 0.7× 83 1.7k
Timothy L. Hodgson United Kingdom 27 1.6k 1.0× 349 0.6× 106 0.4× 219 0.9× 225 0.9× 91 2.4k
Francesca Morganti Italy 17 592 0.4× 263 0.5× 169 0.6× 255 1.0× 417 1.7× 59 1.7k
Maddalena Boccia Italy 26 1.3k 0.8× 645 1.1× 120 0.4× 417 1.7× 415 1.7× 124 2.4k
Tanja C.W. Nijboer Netherlands 31 1.9k 1.2× 487 0.9× 66 0.2× 325 1.3× 268 1.1× 162 2.9k

Countries citing papers authored by Matthew S. Peterson

Since Specialization
Citations

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

Fields of papers citing papers by Matthew S. Peterson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Matthew S. Peterson. 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 Matthew S. Peterson. The network helps show where Matthew S. Peterson may publish in the future.

Co-authorship network of co-authors of Matthew S. Peterson

This figure shows the co-authorship network connecting the top 25 collaborators of Matthew S. Peterson. A scholar is included among the top collaborators of Matthew S. Peterson 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 Matthew S. Peterson. Matthew S. Peterson 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.
Peterson, Matthew S., et al.. (2020). Evaluation of patterning instruction for kindergartners. The Journal of Educational Research. 113(4). 292–302. 5 indexed citations
2.
Peterson, Matthew S., et al.. (2018). Saccadic eye movements smear spatial working memory.. Journal of Experimental Psychology Human Perception & Performance. 45(2). 255–263. 8 indexed citations
3.
Roberts, Daniel M., et al.. (2017). Neural activity reveals perceptual grouping in working memory. International Journal of Psychophysiology. 113. 40–45. 6 indexed citations
4.
Buzzell, George A., et al.. (2017). Averted body postures facilitate orienting of the eyes. Acta Psychologica. 175. 28–32. 6 indexed citations
5.
Peterson, Matthew S., et al.. (2015). Watch out! Directional threat-related postures cue attention and the eyes. Cognition & Emotion. 30(3). 561–569. 7 indexed citations
6.
Werner, Nicole E., David M. Cades, Deborah A. Boehm‐Davis, & Matthew S. Peterson. (2009). Resuming after Interruption: Exploring the Roles of Spatial and Goal Memory. Proceedings of the Human Factors and Ergonomics Society Annual Meeting. 53(4). 399–403. 2 indexed citations
7.
Bherer, Louis, Arthur F. Kramer, Matthew S. Peterson, et al.. (2008). Transfer Effects in Task-Set Cost and Dual-Task Cost After Dual-Task Training in Older and Younger Adults: Further Evidence for Cognitive Plasticity in Attentional Control in Late Adulthood. Experimental Aging Research. 34(3). 188–219. 195 indexed citations
8.
Peterson, Matthew S., et al.. (2008). Were you paying attention to where you looked? The role of executive working memory in visual search. Psychonomic Bulletin & Review. 15(2). 372–377. 27 indexed citations
9.
Beck, Melissa R., et al.. (2008). Implicit learning for probable changes in a visual change detection task. Consciousness and Cognition. 17(4). 1192–1208. 14 indexed citations
10.
Peterson, Matthew S., et al.. (2008). Visual working memory capacity for objects from different categories: A face-specific maintenance effect. Cognition. 108(3). 719–731. 23 indexed citations
11.
Peterson, Matthew S., et al.. (2007). Are changes in semantic and structural information sufficient for oculomotor capture?. Journal of Vision. 7(12). 3–3. 4 indexed citations
12.
Peterson, Matthew S., et al.. (2007). Visual search is guided by prospective and retrospective memory. Perception & Psychophysics. 69(1). 123–135. 34 indexed citations
13.
Kramer, Arthur F., Walter R. Boot, Jason S. McCarley, et al.. (2006). Aging, memory and visual search. Acta Psychologica. 122(3). 288–304. 18 indexed citations
14.
Boot, Walter R., Arthur F. Kramer, & Matthew S. Peterson. (2005). Oculomotor consequences of abrupt object onsets and offsets: Onsets dominate oculomotor capture. Perception & Psychophysics. 67(5). 910–928. 48 indexed citations
15.
Boot, Walter R., Jason S. McCarley, Arthur F. Kramer, & Matthew S. Peterson. (2004). Automatic and intentional memory processes in visual search. Psychonomic Bulletin & Review. 11(5). 854–861. 42 indexed citations
16.
Peterson, Matthew S., Arthur F. Kramer, & David E. Irwin. (2004). Covert shifts of attention precede involuntary eye movements. Perception & Psychophysics. 66(3). 398–405. 126 indexed citations
17.
McCarley, Jason S., et al.. (2002). How much memory does oculomotor visual search have. Perception. 31. 0–0. 1 indexed citations
18.
McCarley, Jason S., Arthur F. Kramer, & Matthew S. Peterson. (2002). Overt and covert object-based attention. Psychonomic Bulletin & Review. 9(4). 751–758. 19 indexed citations
19.
Peterson, Matthew S. & Arthur F. Kramer. (2001). Attentional guidance of the eyes by contextual information and abrupt onsets.. Perception & Psychophysics. 63(7). 1239–1249. 142 indexed citations
20.
Juola, James F., et al.. (2000). Priming effects in attentional gating. Memory & Cognition. 28(2). 224–235. 19 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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