Anke Marit Albers

870 total citations
9 papers, 523 citations indexed

About

Anke Marit Albers is a scholar working on Cognitive Neuroscience, Social Psychology and Experimental and Cognitive Psychology. According to data from OpenAlex, Anke Marit Albers has authored 9 papers receiving a total of 523 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Cognitive Neuroscience, 4 papers in Social Psychology and 2 papers in Experimental and Cognitive Psychology. Recurrent topics in Anke Marit Albers's work include Visual perception and processing mechanisms (4 papers), Color perception and design (4 papers) and Aesthetic Perception and Analysis (3 papers). Anke Marit Albers is often cited by papers focused on Visual perception and processing mechanisms (4 papers), Color perception and design (4 papers) and Aesthetic Perception and Analysis (3 papers). Anke Marit Albers collaborates with scholars based in Netherlands, Germany and Portugal. Anke Marit Albers's co-authors include Floris P. de Lange, Peter Kok, Ivan Toni, H. Chris Dijkerman, Sérgio Nascimento, Karl R. Gegenfurtner, Marcel Braß, Wouter De Baene, Loek Brinkman and Pim Mostert and has published in prestigious journals such as NeuroImage, Current Biology and Vision Research.

In The Last Decade

Anke Marit Albers

9 papers receiving 518 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Anke Marit Albers Netherlands 7 468 89 65 50 34 9 523
Joseph L. Brooks United Kingdom 11 413 0.9× 94 1.1× 68 1.0× 36 0.7× 24 0.7× 26 529
A. R. Seitz United States 8 485 1.0× 103 1.2× 38 0.6× 37 0.7× 47 1.4× 12 552
Avinash R. Vaidya United States 11 330 0.7× 70 0.8× 36 0.6× 39 0.8× 26 0.8× 14 404
Sirawaj Itthipuripat United States 16 664 1.4× 85 1.0× 40 0.6× 58 1.2× 15 0.4× 30 737
Francesco Marini Italy 15 479 1.0× 124 1.4× 94 1.4× 30 0.6× 20 0.6× 26 608
Michael A. Steinmetz United States 4 674 1.4× 74 0.8× 26 0.4× 36 0.7× 21 0.6× 4 733
Thomas B. Christophel Germany 11 1.0k 2.2× 128 1.4× 77 1.2× 68 1.4× 53 1.6× 21 1.1k
Mark Hymers United Kingdom 12 553 1.2× 100 1.1× 54 0.8× 20 0.4× 55 1.6× 21 611
Kristoffer C. Aberg Switzerland 12 358 0.8× 104 1.2× 32 0.5× 58 1.2× 28 0.8× 30 427
Alice Tomassini Italy 12 415 0.9× 108 1.2× 115 1.8× 29 0.6× 13 0.4× 25 446

Countries citing papers authored by Anke Marit Albers

Since Specialization
Citations

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

Fields of papers citing papers by Anke Marit Albers

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Anke Marit Albers. 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 Anke Marit Albers. The network helps show where Anke Marit Albers may publish in the future.

Co-authorship network of co-authors of Anke Marit Albers

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

All Works

9 of 9 papers shown
1.
Nascimento, Sérgio, Anke Marit Albers, & Karl R. Gegenfurtner. (2021). Naturalness and aesthetics of colors – Preference for color compositions perceived as natural. Vision Research. 185. 98–110. 25 indexed citations
2.
Albers, Anke Marit, Karl R. Gegenfurtner, & Sérgio Nascimento. (2020). An independent contribution of colour to the aesthetic preference for paintings. Vision Research. 177. 109–117. 13 indexed citations
3.
Mostert, Pim, et al.. (2018). Eye Movement-Related Confounds in Neural Decoding of Visual Working Memory Representations. eNeuro. 5(4). ENEURO.0401–17.2018. 49 indexed citations
4.
Albers, Anke Marit, Florian Schiller, Karl R. Gegenfurtner, & Sérgio Nascimento. (2018). Color categories in aesthetic preferences for paintings. Journal of Vision. 18(10). 869–869. 1 indexed citations
5.
Nascimento, Sérgio, Anke Marit Albers, & Karl R. Gegenfurtner. (2018). Naturalness and aesthetics of colors in the human brain. Journal of Vision. 18(10). 868–868. 2 indexed citations
6.
Albers, Anke Marit, Thomas Meindertsma, Ivan Toni, & Floris P. de Lange. (2017). Decoupling of BOLD amplitude and pattern classification of orientation-selective activity in human visual cortex. NeuroImage. 180(Pt A). 31–40. 10 indexed citations
7.
Albers, Anke Marit, Peter Kok, Ivan Toni, H. Chris Dijkerman, & Floris P. de Lange. (2013). Shared Representations for Working Memory and Mental Imagery in Early Visual Cortex. Current Biology. 23(15). 1427–1431. 334 indexed citations
8.
Baene, Wouter De, Anke Marit Albers, & Marcel Braß. (2012). The what and how components of cognitive control. NeuroImage. 63(1). 203–211. 37 indexed citations
9.
Hermes, Dora, Mariska J. Vansteensel, Anke Marit Albers, et al.. (2011). Functional MRI-based identification of brain areas involved in motor imagery for implantable brain–computer interfaces. Journal of Neural Engineering. 8(2). 25007–25007. 52 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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