Michael D. Dodd

3.4k total citations · 1 hit paper
88 papers, 2.3k citations indexed

About

Michael D. Dodd is a scholar working on Cognitive Neuroscience, Social Psychology and Experimental and Cognitive Psychology. According to data from OpenAlex, Michael D. Dodd has authored 88 papers receiving a total of 2.3k indexed citations (citations by other indexed papers that have themselves been cited), including 57 papers in Cognitive Neuroscience, 23 papers in Social Psychology and 19 papers in Experimental and Cognitive Psychology. Recurrent topics in Michael D. Dodd's work include Visual perception and processing mechanisms (34 papers), Neural and Behavioral Psychology Studies (26 papers) and Occupational Health and Safety Research (12 papers). Michael D. Dodd is often cited by papers focused on Visual perception and processing mechanisms (34 papers), Neural and Behavioral Psychology Studies (26 papers) and Occupational Health and Safety Research (12 papers). Michael D. Dodd collaborates with scholars based in United States, Canada and Netherlands. Michael D. Dodd's co-authors include Jay Pratt, Behzad Esmaeili, Sogand Hasanzadeh, Alan D. Castel, Martin H. Fischer, Stefan Van der Stigchel, Andrew Hollingworth, Mark Mills, Kevin B. Smith and John R. Hibbing and has published in prestigious journals such as Nature Neuroscience, Journal of Neurophysiology and Psychological Science.

In The Last Decade

Michael D. Dodd

84 papers receiving 2.2k citations

Hit Papers

Perceiving numbers causes... 2003 2026 2010 2018 2003 100 200 300 400 500

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Michael D. Dodd 1.1k 656 508 427 413 88 2.3k
Kim‐Phuong L. Vu 1.8k 1.6× 1.1k 1.7× 94 0.2× 534 1.3× 110 0.3× 128 3.1k
Marilyn Jager Adams 1.2k 1.1× 458 0.7× 281 0.6× 521 1.2× 91 0.2× 51 2.8k
Geoffrey Underwood 1.7k 1.5× 1.4k 2.1× 121 0.2× 804 1.9× 91 0.2× 101 3.9k
Lana M. Trick 1.4k 1.2× 565 0.9× 1000 2.0× 560 1.3× 21 0.1× 69 2.8k
Thomas Lachmann 1.5k 1.3× 217 0.3× 515 1.0× 634 1.5× 23 0.1× 128 2.5k
Donald L. Fisher 898 0.8× 1.1k 1.7× 55 0.1× 381 0.9× 60 0.1× 95 2.6k
Siné McDougall 395 0.4× 436 0.7× 151 0.3× 333 0.8× 18 0.0× 48 1.3k
Jing Feng 483 0.4× 467 0.7× 55 0.1× 586 1.4× 21 0.1× 84 2.2k
D.G. Bouwhuis 1.5k 1.4× 483 0.7× 46 0.1× 619 1.4× 28 0.1× 65 3.0k
Erik M. Altmann 1.7k 1.5× 1.0k 1.6× 47 0.1× 955 2.2× 27 0.1× 62 3.4k

Countries citing papers authored by Michael D. Dodd

Since Specialization
Citations

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

Fields of papers citing papers by Michael D. Dodd

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michael D. Dodd

This figure shows the co-authorship network connecting the top 25 collaborators of Michael D. Dodd. A scholar is included among the top collaborators of Michael D. Dodd 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 Michael D. Dodd. Michael D. Dodd 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.
Witt, Jessica K., et al.. (2025). Overestimation of variability in ensembles of color value and size. Attention Perception & Psychophysics. 87(5). 1579–1603.
2.
Soh, Leen‐Kiat, et al.. (2024). Variables influencing change blindness in construction safety. Safety Science. 184. 106761–106761.
3.
Haigh, Sarah M., et al.. (2023). Working memory and sensory memory in subclinical high schizotypy: An avenue for understanding schizophrenia?. European Journal of Neuroscience. 57(9). 1577–1596. 4 indexed citations
4.
Pierce, Jordan E., et al.. (2022). Task-irrelevant emotional faces impact BOLD responses more for prosaccades than antisaccades in a mixed saccade fMRI task. Neuropsychologia. 177. 108428–108428. 1 indexed citations
5.
Witt, Jessica K., et al.. (2022). Variability of dot spread is overestimated. Attention Perception & Psychophysics. 85(2). 494–504. 2 indexed citations
6.
Patel, Parth A., et al.. (2019). Gender and hometown population density interact to predict face recognition ability. Vision Research. 163. 14–23. 20 indexed citations
7.
Dodd, Michael D., et al.. (2018). How faces (and cars) may become special. Vision Research. 157. 202–212. 15 indexed citations
8.
9.
Mills, Mark & Michael D. Dodd. (2016). Which way is which? Examining symbolic control of attention with compound arrow cues. Attention Perception & Psychophysics. 78(7). 2152–2163. 1 indexed citations
10.
Bornstein, Brian H., et al.. (2014). Perceptual Processes in the Cross-Race Effect: Evidence From Eyetracking. Basic and Applied Social Psychology. 36(6). 478–493. 16 indexed citations
11.
Dodd, Michael D., et al.. (2014). Examining the influence of nonpredictive arrow cues and a working memory load on visual search performance. Journal of Vision. 14(10). 1071–1071.
12.
Mills, Mark, Kevin B. Smith, John R. Hibbing, & Michael D. Dodd. (2014). Obama cares about visuo-spatial attention: Perception of political figures moves attention and determines gaze direction. Behavioural Brain Research. 278. 221–225. 4 indexed citations
13.
Mills, Mark, et al.. (2014). How does implicit learning of search regularities alter the manner in which you search?. Psychological Research. 79(2). 183–193. 3 indexed citations
14.
Dodd, Michael D., Mark Mills, Stefan Van der Stigchel, & Andrew Hollingworth. (2011). Examining the influence of scene manipulations and task instruction on scanpaths and inhibition of return. Journal of Vision. 11(11). 481–481. 1 indexed citations
15.
Taş, Cumhur, Michael D. Dodd, & Andrew Hollingworth. (2010). The role of surface feature and spatiotemporal continuity in object-based inhibition of return. Journal of Vision. 10(7). 178–178. 1 indexed citations
16.
Masson, Michael E. J., Michael D. Dodd, & James T. Enns. (2009). The bicycle illusion: Sidewalk science informs the integration of motion and shape perception.. Journal of Experimental Psychology Human Perception & Performance. 35(1). 133–145. 2 indexed citations
17.
Dodd, Michael D., et al.. (2008). Attentional SNARC: There’s something special about numbers (let us count the ways). Cognition. 108(3). 810–818. 86 indexed citations
18.
Pratt, Jay, Michael D. Dodd, & Timothy N. Welsh. (2006). Growing Older Does Not Always Mean Moving Slower: Examining Aging and the Saccadic Motor System. Journal of Motor Behavior. 38(5). 373–382. 48 indexed citations
19.
Dodd, Michael D., Alan D. Castel, & Karen Roberts. (2006). A strategy disruption component to retrieval-induced forgetting. Memory & Cognition. 34(1). 102–111. 26 indexed citations
20.
Dodd, Michael D., Tara McAuley, & Jay Pratt. (2004). An illusion of 3-D motion with the Ternus display. Vision Research. 45(8). 969–973. 5 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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