Alexander A. Petrov

1.7k total citations
48 papers, 1.1k citations indexed

About

Alexander A. Petrov is a scholar working on Cognitive Neuroscience, Artificial Intelligence and Developmental and Educational Psychology. According to data from OpenAlex, Alexander A. Petrov has authored 48 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Cognitive Neuroscience, 15 papers in Artificial Intelligence and 7 papers in Developmental and Educational Psychology. Recurrent topics in Alexander A. Petrov's work include Visual perception and processing mechanisms (22 papers), Neural dynamics and brain function (12 papers) and Child and Animal Learning Development (6 papers). Alexander A. Petrov is often cited by papers focused on Visual perception and processing mechanisms (22 papers), Neural dynamics and brain function (12 papers) and Child and Animal Learning Development (6 papers). Alexander A. Petrov collaborates with scholars based in United States, Russia and Germany. Alexander A. Petrov's co-authors include Zhong‐Lin Lu, Barbara Anne Dosher, Taylor R. Hayes, Pamela E. Jeter, Per B. Sederberg, John R. Anderson, Thomas R. Hayes, Boicho Kokinov, Roger Ratcliff and Tadamasa Sawada and has published in prestigious journals such as Psychological Review, Journal of Neurophysiology and Journal of Cognitive Neuroscience.

In The Last Decade

Alexander A. Petrov

43 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Alexander A. Petrov United States 12 842 231 136 134 91 48 1.1k
Andrey R. Nikolaev Belgium 21 1.1k 1.3× 150 0.6× 66 0.5× 56 0.4× 139 1.5× 65 1.3k
Michael S. Pratte United States 20 1.3k 1.6× 280 1.2× 120 0.9× 118 0.9× 183 2.0× 34 1.5k
Jochen Laubrock Germany 19 979 1.2× 262 1.1× 107 0.8× 471 3.5× 100 1.1× 44 1.3k
Ignacio Vallines Germany 7 908 1.1× 170 0.7× 58 0.4× 51 0.4× 150 1.6× 10 1.1k
Ayelet N. Landau Israel 18 1.2k 1.4× 277 1.2× 46 0.3× 104 0.8× 104 1.1× 48 1.4k
Casimir J. H. Ludwig United Kingdom 23 1.4k 1.6× 341 1.5× 71 0.5× 119 0.9× 163 1.8× 55 1.7k
Paul A. Warren United Kingdom 18 774 0.9× 138 0.6× 44 0.3× 53 0.4× 110 1.2× 60 1.1k
Mitchell Valdés-Sosa Cuba 23 1.2k 1.4× 342 1.5× 62 0.5× 180 1.3× 161 1.8× 59 1.6k
Patryk A. Laurent United States 14 1.5k 1.8× 384 1.7× 50 0.4× 120 0.9× 134 1.5× 19 1.7k
Martin N. Hebart Germany 22 1.8k 2.2× 329 1.4× 136 1.0× 130 1.0× 246 2.7× 63 2.2k

Countries citing papers authored by Alexander A. Petrov

Since Specialization
Citations

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

Fields of papers citing papers by Alexander A. Petrov

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Alexander A. Petrov

This figure shows the co-authorship network connecting the top 25 collaborators of Alexander A. Petrov. A scholar is included among the top collaborators of Alexander A. Petrov 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 Alexander A. Petrov. Alexander A. Petrov 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.
Petrov, Alexander A., et al.. (2021). Methods of intelligent results ranking for the intermediate assessment of knowledge in mathematical disciplines. Journal of Physics Conference Series. 2001(1). 12032–12032. 1 indexed citations
2.
Frankland, Steven, Taylor W. Webb, Alexander A. Petrov, Randall C. O’Reilly, & Jonathan Cohen. (2019). Extracting and Utilizing Abstract, Structured Representations for Analogy.. Cognitive Science. 1766–1772. 1 indexed citations
3.
Petrov, Alexander A. & John R. Anderson. (2018). ANCHOR: A Memory-Based Model of Category Rating. eScholarship (California Digital Library). 22(22).
4.
Petrov, Alexander A., et al.. (2018). Game-Based Training and Testing Through by Creation of Virtual World. 9(1). 113–118.
5.
Sawada, Tadamasa & Alexander A. Petrov. (2017). The divisive normalization model of V1 neurons: a comprehensive comparison of physiological data and model predictions. Journal of Neurophysiology. 118(6). 3051–3091. 17 indexed citations
6.
Hayes, Thomas R., et al.. (2014). Pupillometry reveals role for norepinephrine in the isolation effect. Journal of Vision. 14(10). 1142–1142. 1 indexed citations
7.
Hayes, Taylor R., Alexander A. Petrov, & Per B. Sederberg. (2014). Do we really become smarter when our fluid-intelligence test scores improve?. Intelligence. 48. 1–14. 70 indexed citations
8.
Petrov, Alexander A., et al.. (2011). The specificity of perceptual learning of pop-out detection depends on the difficulty during post-test rather than training. Journal of Vision. 11(11). 1025–1025. 1 indexed citations
9.
Petrov, Alexander A., Taylor R. Hayes, & Per B. Sederberg. (2011). Learning Affects Strategic Processing on Raven's Advanced Progressive Matrices. Cognitive Science. 33(33). 1 indexed citations
10.
Petrov, Alexander A., et al.. (2011). Dissociable perceptual-learning mechanisms revealed by diffusion-model analysis. Psychonomic Bulletin & Review. 18(3). 490–497. 42 indexed citations
11.
Petrov, Alexander A.. (2011). Category rating is based on prototypes and not instances: Evidence from feedback-dependent context effects.. Journal of Experimental Psychology Human Perception & Performance. 37(2). 336–356. 1 indexed citations
12.
Petrov, Alexander A. & Thomas R. Hayes. (2010). Asymmetric transfer of perceptual learning of luminance- and contrast-modulated motion. Journal of Vision. 10(14). 11–11. 9 indexed citations
13.
Jeter, Pamela E., Barbara Anne Dosher, Alexander A. Petrov, & Zhong‐Lin Lu. (2009). Task precision at transfer determines specificity of perceptual learning. Journal of Vision. 9(3). 1–1. 204 indexed citations
14.
Petrov, Alexander A., Barbara Anne Dosher, & Zhong‐Lin Lu. (2006). Perceptual learning without feedback in non-stationary contexts: Data and model. Vision Research. 46(19). 3177–3197. 82 indexed citations
15.
Petrov, Alexander A., Barbara Anne Dosher, & Zhong‐Lin Lu. (2005). The Dynamics of Perceptual Learning: An Incremental Reweighting Model.. Psychological Review. 112(4). 715–743. 235 indexed citations
16.
Petrov, Alexander A. & John R. Anderson. (2005). The Dynamics of Scaling: A Memory-Based Anchor Model of Category Rating and Absolute Identification.. Psychological Review. 112(2). 383–416. 80 indexed citations
17.
Petrov, Alexander A.. (2003). Additive or Multiplicative Perceptual Noise? Two Equivalent Forms of the ANCHOR Model. eScholarship (California Digital Library). 1(2). 122. 1 indexed citations
18.
Kokinov, Boicho & Alexander A. Petrov. (2000). Dynamic Extension of Episode Representation in Analogy-Making in AMBR. eScholarship (California Digital Library). 22(22). 7 indexed citations
19.
Kokinov, Boicho & Alexander A. Petrov. (2000). Integration of Memory and Reasoning in Analogy-Making: The AMBR Model. 33 indexed citations
20.
Petrov, Alexander A.. (1998). A DYNAMIC EMERGENT COMPUTATIONAL MODEL OF ANALOGY-MAKING BASED ON DECENTRALIZED REPRESENTATIONS. 2007. 2764–7. 3 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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