Dragan Rangelov

616 total citations
27 papers, 362 citations indexed

About

Dragan Rangelov is a scholar working on Cognitive Neuroscience, Computer Vision and Pattern Recognition and Experimental and Cognitive Psychology. According to data from OpenAlex, Dragan Rangelov has authored 27 papers receiving a total of 362 indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Cognitive Neuroscience, 7 papers in Computer Vision and Pattern Recognition and 3 papers in Experimental and Cognitive Psychology. Recurrent topics in Dragan Rangelov's work include Visual perception and processing mechanisms (19 papers), Neural and Behavioral Psychology Studies (19 papers) and Neural dynamics and brain function (10 papers). Dragan Rangelov is often cited by papers focused on Visual perception and processing mechanisms (19 papers), Neural and Behavioral Psychology Studies (19 papers) and Neural dynamics and brain function (10 papers). Dragan Rangelov collaborates with scholars based in Australia, Germany and United Kingdom. Dragan Rangelov's co-authors include Hermann J. Müller, Michael Zehetleitner, Thomas Töllner, Hermann J. Müller, Jason B. Mattingley, Donatas Jonikaitis, Heiner Deubel, Martin Szinte, Semir Zeki and Reuben Rideaux and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Neuroscience and NeuroImage.

In The Last Decade

Dragan Rangelov

23 papers receiving 353 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Dragan Rangelov Australia 11 325 70 60 43 23 27 362
Jason T. Arita United States 6 573 1.8× 44 0.6× 119 2.0× 65 1.5× 23 1.0× 7 590
Janice J. Snyder Canada 11 390 1.2× 48 0.7× 67 1.1× 28 0.7× 19 0.8× 16 433
Cédric Laloyaux Belgium 7 213 0.7× 21 0.3× 81 1.4× 37 0.9× 11 0.5× 12 281
Tobias Feldmann‐Wüstefeld Germany 8 334 1.0× 18 0.3× 88 1.5× 31 0.7× 25 1.1× 10 360
Jason Rajsic Canada 13 365 1.1× 55 0.8× 77 1.3× 58 1.3× 7 0.3× 35 413
Zhe Qu China 13 433 1.3× 37 0.5× 119 2.0× 43 1.0× 19 0.8× 27 515
Sabine Born Switzerland 12 337 1.0× 33 0.5× 65 1.1× 21 0.5× 26 1.1× 32 366
Hsin‐I Liao Japan 9 238 0.7× 21 0.3× 106 1.8× 38 0.9× 44 1.9× 20 292
Bonnie Angelone United States 9 291 0.9× 53 0.8× 113 1.9× 67 1.6× 23 1.0× 18 348
Reshanne Reeder Germany 11 251 0.8× 48 0.7× 44 0.7× 23 0.5× 15 0.7× 19 283

Countries citing papers authored by Dragan Rangelov

Since Specialization
Citations

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

Fields of papers citing papers by Dragan Rangelov

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Dragan Rangelov. 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 Dragan Rangelov. The network helps show where Dragan Rangelov may publish in the future.

Co-authorship network of co-authors of Dragan Rangelov

This figure shows the co-authorship network connecting the top 25 collaborators of Dragan Rangelov. A scholar is included among the top collaborators of Dragan Rangelov 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 Dragan Rangelov. Dragan Rangelov 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.
Mattingley, Jason B., et al.. (2025). Neural mechanisms of metacognitive improvement under speed pressure. Communications Biology. 8(1). 223–223.
2.
3.
Rangelov, Dragan, Julia Fellrath, & Jason B. Mattingley. (2024). Integrated Perceptual Decisions Rely on Parallel Evidence Accumulation. Journal of Neuroscience. 44(33). e2368232024–e2368232024. 1 indexed citations
4.
Rideaux, Reuben, et al.. (2023). Distinct early and late neural mechanisms regulate feature-specific sensory adaptation in the human visual system. Journal of Vision. 23(9). 5187–5187. 1 indexed citations
5.
Rangelov, Dragan, et al.. (2023). Fractionating distraction: How past- and future-relevant distractors influence integrated decisions.. Journal of Experimental Psychology Human Perception & Performance. 49(5). 737–752. 1 indexed citations
6.
Li, Xuqian, et al.. (2023). White matter microstructure is associated with the precision of visual working memory. NeuroImage. 272. 120069–120069. 2 indexed citations
7.
Rideaux, Reuben, et al.. (2023). Distinct early and late neural mechanisms regulate feature-specific sensory adaptation in the human visual system. Proceedings of the National Academy of Sciences. 120(6). e2216192120–e2216192120. 10 indexed citations
8.
Rangelov, Dragan, Julia Fellrath, & Jason B. Mattingley. (2022). Integrated Perceptual Decisions Rely on Parallel Evidence Accumulation. SSRN Electronic Journal.
9.
Mattingley, Jason B., et al.. (2022). On second thoughts: changes of mind in decision-making. Trends in Cognitive Sciences. 26(5). 419–431. 33 indexed citations
10.
Rangelov, Dragan, et al.. (2021). Stimulus Reliability Automatically Biases Temporal Integration of Discrete Perceptual Targets in the Human Brain. Journal of Neuroscience. 41(36). 7662–7674. 4 indexed citations
11.
Rangelov, Dragan, et al.. (2021). Biased weighting of temporally discrete visual stimuli in a continuous report decision-making task: A combined behavioral and electrophysiological study.. Journal of Experimental Psychology Learning Memory and Cognition. 48(2). 173–186. 3 indexed citations
12.
Liesefeld, Heinrich R., Anna M. Liesefeld, Hermann J. Müller, & Dragan Rangelov. (2017). Saliency maps for finding changes in visual scenes?. Attention Perception & Psychophysics. 79(7). 2190–2201. 8 indexed citations
13.
Rangelov, Dragan, Hermann J. Müller, & Michael Zehetleitner. (2017). Failure to pop out: Feature singletons do not capture attention under low signal-to-noise ratio conditions.. Journal of Experimental Psychology General. 146(5). 651–671. 29 indexed citations
14.
Rangelov, Dragan, Hermann J. Müller, & Paul C.J. Taylor. (2015). Occipital TMS at phosphene detection threshold captures attention automatically. NeuroImage. 109. 199–205. 8 indexed citations
15.
Rangelov, Dragan & Semir Zeki. (2014). Non-binding relationship between visual features. Frontiers in Human Neuroscience. 8. 749–749. 7 indexed citations
16.
Zinchenko, Artyom, Hyo‐Jung Kim, Adrian Danek, Hermann J. Müller, & Dragan Rangelov. (2014). Local feature suppression effect in face and non-face stimuli. Psychological Research. 79(2). 194–205. 4 indexed citations
17.
Rangelov, Dragan, Hermann J. Müller, & Michael Zehetleitner. (2013). Visual search for feature singletons: Multiple mechanisms produce sequence effects in visual search. Journal of Vision. 13(3). 22–22. 28 indexed citations
18.
Rangelov, Dragan, Thomas Töllner, Hermann J. Müller, & Michael Zehetleitner. (2013). What are task-sets: a single, integrated representation or a collection of multiple control representations?. Frontiers in Human Neuroscience. 7. 524–524. 13 indexed citations
19.
Zehetleitner, Michael, Dragan Rangelov, & Hermann J. Müller. (2012). Partial repetition costs persist in nonsearch compound tasks: Evidence for multiple-weighting-systems hypothesis. Attention Perception & Psychophysics. 74(5). 879–890. 34 indexed citations
20.
Rangelov, Dragan, Hermann J. Müller, & Michael Zehetleitner. (2011). The multiple-weighting-systems hypothesis: Theory and empirical support. Attention Perception & Psychophysics. 74(3). 540–552. 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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