Annelies Baeck

413 total citations
13 papers, 270 citations indexed

About

Annelies Baeck is a scholar working on Cognitive Neuroscience, Experimental and Cognitive Psychology and Geometry and Topology. According to data from OpenAlex, Annelies Baeck has authored 13 papers receiving a total of 270 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Cognitive Neuroscience, 3 papers in Experimental and Cognitive Psychology and 1 paper in Geometry and Topology. Recurrent topics in Annelies Baeck's work include Visual perception and processing mechanisms (9 papers), Neural dynamics and brain function (8 papers) and Face Recognition and Perception (5 papers). Annelies Baeck is often cited by papers focused on Visual perception and processing mechanisms (9 papers), Neural dynamics and brain function (8 papers) and Face Recognition and Perception (5 papers). Annelies Baeck collaborates with scholars based in Belgium, United States and United Kingdom. Annelies Baeck's co-authors include Hans Op de Beeck, Johan Wagemans, Céline R. Gillebert, Jonas Kubilius, Chris I. Baker, Dwight J. Kravitz, Nicky Daniëls, Ine Windey, Karen Maes and Ron Kupers and has published in prestigious journals such as NeuroImage, Vision Research and Frontiers in Psychology.

In The Last Decade

Annelies Baeck

12 papers receiving 269 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Annelies Baeck Belgium 10 247 46 30 24 20 13 270
Mads Hansen Denmark 7 263 1.1× 54 1.2× 66 2.2× 15 0.6× 20 1.0× 9 311
K. Bettencourt United States 7 469 1.9× 56 1.2× 53 1.8× 20 0.8× 16 0.8× 10 505
Juraj Mesík United States 8 252 1.0× 36 0.8× 29 1.0× 22 0.9× 9 0.5× 16 280
Tatiana Aloi Emmanouil United States 8 283 1.1× 55 1.2× 32 1.1× 27 1.1× 8 0.4× 18 307
Trenton A. Jerde United States 9 394 1.6× 49 1.1× 43 1.4× 13 0.5× 9 0.5× 15 429
Lina Teichmann Australia 8 229 0.9× 61 1.3× 45 1.5× 35 1.5× 10 0.5× 19 283
Matthew F. Panichello United States 5 357 1.4× 58 1.3× 47 1.6× 10 0.4× 19 0.9× 10 399
Fumie Saito Japan 7 169 0.7× 38 0.8× 35 1.2× 20 0.8× 18 0.9× 17 215
Sonia Poltoratski United States 8 278 1.1× 43 0.9× 24 0.8× 68 2.8× 12 0.6× 15 304
Elizabeth S. Lorenc United States 7 259 1.0× 40 0.9× 27 0.9× 13 0.5× 12 0.6× 8 275

Countries citing papers authored by Annelies Baeck

Since Specialization
Citations

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

Fields of papers citing papers by Annelies Baeck

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Annelies Baeck

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

All Works

13 of 13 papers shown
1.
2.
Baeck, Annelies, et al.. (2016). The Transfer of Object Learning after Training with Multiple Exemplars. Frontiers in Psychology. 7. 1386–1386. 9 indexed citations
3.
Daniëls, Nicky, et al.. (2016). The effect of tDCS on task relevant and irrelevant perceptual learning of complex objects. Journal of Vision. 16(12). 1098–1098.
4.
Daniëls, Nicky, et al.. (2016). Effect of tDCS on task relevant and irrelevant perceptual learning of complex objects. Journal of Vision. 16(6). 13–13. 14 indexed citations
5.
Kubilius, Jonas, Annelies Baeck, Johan Wagemans, & Hans Op de Beeck. (2015). Brain-decoding fMRI reveals how wholes relate to the sum of parts. Cortex. 72. 5–14. 21 indexed citations
6.
Baeck, Annelies, Dwight J. Kravitz, Chris I. Baker, & Hans Op de Beeck. (2015). Influence of lexical status and orthographic similarity on the multi-voxel response of the visual word form area. NeuroImage. 111. 321–328. 20 indexed citations
7.
Baeck, Annelies, et al.. (2013). The effect of sleep in perceptual learning with complex objects. Vision Research. 99. 180–185. 10 indexed citations
8.
Baeck, Annelies, Ine Windey, & Hans Op de Beeck. (2012). The transfer of object learning across exemplars and their orientation is related to perceptual similarity. Vision Research. 68. 40–47. 9 indexed citations
9.
Baeck, Annelies, Johan Wagemans, & Hans Op de Beeck. (2012). The distributed representation of random and meaningful object pairs in human occipitotemporal cortex: The weighted average as a general rule. NeuroImage. 70. 37–47. 46 indexed citations
10.
Baeck, Annelies, et al.. (2011). Multiple scales of organization for object selectivity in ventral visual cortex. NeuroImage. 56(3). 1372–1381. 18 indexed citations
11.
Baeck, Annelies. (2010). Transfer of object learning across distinct visual learning paradigms. Journal of Vision. 10(2). 1–9. 32 indexed citations
12.
Beeck, Hans Op de, et al.. (2009). Distributed subordinate specificity for bodies, faces, and buildings in human ventral visual cortex. NeuroImage. 49(4). 3414–3425. 56 indexed citations
13.

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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