A. R. Seitz

729 total citations
12 papers, 552 citations indexed

About

A. R. Seitz is a scholar working on Cognitive Neuroscience, Molecular Biology and Experimental and Cognitive Psychology. According to data from OpenAlex, A. R. Seitz has authored 12 papers receiving a total of 552 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Cognitive Neuroscience, 2 papers in Molecular Biology and 2 papers in Experimental and Cognitive Psychology. Recurrent topics in A. R. Seitz's work include Visual perception and processing mechanisms (9 papers), Neural dynamics and brain function (8 papers) and Neural and Behavioral Psychology Studies (5 papers). A. R. Seitz is often cited by papers focused on Visual perception and processing mechanisms (9 papers), Neural dynamics and brain function (8 papers) and Neural and Behavioral Psychology Studies (5 papers). A. R. Seitz collaborates with scholars based in United States, United Kingdom and Japan. A. R. Seitz's co-authors include Tetsu Watanabe, Peggy Seriès, Matthew Chalk, Yuka Sasaki, Masamichi Sakagami, Shinsuke Shimojo, Takeo Watanabe, Noriko Yamagishi, Yuko Yotsumoto and Shinichi Koyama and has published in prestigious journals such as Journal of Neuroscience, Trends in Cognitive Sciences and Cerebral Cortex.

In The Last Decade

A. R. Seitz

11 papers receiving 544 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
A. R. Seitz United States	8	485	103	47	38	37	12	552
T. Watanabe United States	6	617 1.3×	110 1.1×	49 1.0×	40 1.1×	87 2.4×	15	698
Arash Yazdanbakhsh United States	15	528 1.1×	47 0.5×	40 0.9×	56 1.5×	59 1.6×	39	600
Ling-Po Shiu Hong Kong	9	719 1.5×	173 1.7×	51 1.1×	74 1.9×	31 0.8×	13	778
Vikranth R. Bejjanki United States	9	378 0.8×	146 1.4×	85 1.8×	33 0.9×	48 1.3×	16	516
Topi Tanskanen Finland	9	538 1.1×	110 1.1×	38 0.8×	75 2.0×	24 0.6×	15	614
Won Mok Shim United States	15	700 1.4×	114 1.1×	29 0.6×	79 2.1×	32 0.9×	39	771
Kristoffer C. Aberg Switzerland	12	358 0.7×	104 1.0×	28 0.6×	32 0.8×	58 1.6×	30	427
Adrien Chopin France	11	255 0.5×	91 0.9×	45 1.0×	38 1.0×	17 0.5×	22	347
Rachel N. Denison United States	17	691 1.4×	190 1.8×	51 1.1×	76 2.0×	31 0.8×	35	816
Kenith V. Sobel United States	11	582 1.2×	217 2.1×	25 0.5×	95 2.5×	34 0.9×	25	670

Countries citing papers authored by A. R. Seitz

Since Specialization

Citations

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

Fields of papers citing papers by A. R. Seitz

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by A. R. Seitz. 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 A. R. Seitz. The network helps show where A. R. Seitz may publish in the future.

Co-authorship network of co-authors of A. R. Seitz

This figure shows the co-authorship network connecting the top 25 collaborators of A. R. Seitz. A scholar is included among the top collaborators of A. R. Seitz 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 A. R. Seitz. A. R. Seitz is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

12 of 12 papers shown

1.

Seitz, A. R., et al.. (2014). Prolonged Training at Threshold Promotes Robust Retinotopic Specificity in Perceptual Learning. Journal of Neuroscience. 34(25). 8423–8431. 94 indexed citations

2.

Seitz, A. R., et al.. (2013). Encoding of episodic information through fast task-irrelevant perceptual learning. Vision Research. 99. 5–11. 25 indexed citations

3.

Chalk, Matthew, et al.. (2013). Complexity and specificity of experimentally-induced expectations in motion perception. Journal of Vision. 13(4). 8–8. 19 indexed citations

4.

Seitz, A. R., et al.. (2012). Enhancement from targets and suppression from cues in fast task-irrelevant perceptual learning. Acta Psychologica. 141(1). 31–38. 14 indexed citations

5.

Yotsumoto, Yuko, A. R. Seitz, Shinsuke Shimojo, et al.. (2011). Performance Dip in Motor Response Induced by Task-Irrelevant Weaker Coherent Visual Motion Signals. Cerebral Cortex. 22(8). 1887–1893. 3 indexed citations

6.

Chalk, Matthew, A. R. Seitz, & Peggy Seriès. (2010). Rapidly learned stimulus expectations alter perception of motion. Journal of Vision. 10(8). 2–2. 98 indexed citations

7.

Seitz, A. R., et al.. (2010). Perceptual learning of oriented gratings as revealed by classification images. Journal of Vision. 10(13). 8–8. 14 indexed citations

8.

Seitz, A. R., et al.. (2010). Perceptual learning of motion leads to faster-flicker perception. Journal of Vision. 6(6). 158–158. 1 indexed citations

9.

Seitz, A. R., et al.. (2010). How can subliminal perceptual learning be active?. Journal of Vision. 3(9). 177–177.

10.

Seitz, A. R. & Tetsu Watanabe. (2005). A unified model for perceptual learning. Trends in Cognitive Sciences. 9(7). 329–334. 276 indexed citations

11.

Yamagishi, Noriko, et al.. (2005). Task specific disruption of perceptual learning. Journal of Vision. 5(8). 714–714. 7 indexed citations

12.

Seitz, A. R., et al.. (2005). Seeing what isn't there; The costs of perceptual learning. Journal of Vision. 5(8). 864–864. 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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