Marieke Mur

12.1k total citations · 1 hit paper
38 papers, 2.1k citations indexed

About

Marieke Mur is a scholar working on Cognitive Neuroscience, Nuclear and High Energy Physics and Computer Vision and Pattern Recognition. According to data from OpenAlex, Marieke Mur has authored 38 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Cognitive Neuroscience, 12 papers in Nuclear and High Energy Physics and 9 papers in Computer Vision and Pattern Recognition. Recurrent topics in Marieke Mur's work include Face Recognition and Perception (19 papers), Particle Detector Development and Performance (11 papers) and Visual perception and processing mechanisms (11 papers). Marieke Mur is often cited by papers focused on Face Recognition and Perception (19 papers), Particle Detector Development and Performance (11 papers) and Visual perception and processing mechanisms (11 papers). Marieke Mur collaborates with scholars based in United Kingdom, France and United States. Marieke Mur's co-authors include Nikolaus Kriegeskorte, Peter A. Bandettini, Jerzy Bodurka, Douglas A. Ruff, Keiji Tanaka, Hossein Esteky, Roozbeh Kiani, Kamila M. Jozwik, Linda Henriksson and Taylor W. Schmitz and has published in prestigious journals such as Neuron, Journal of Neuroscience and PLoS ONE.

In The Last Decade

Marieke Mur

36 papers receiving 2.0k citations

Hit Papers

Matching Categorical Obje... 2008 2026 2014 2020 2008 250 500 750

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Marieke Mur 1.8k 325 294 285 155 38 2.1k
Martin N. Hebart 1.8k 1.0× 329 1.0× 187 0.6× 246 0.9× 130 0.8× 63 2.2k
Hossein Esteky 1.8k 1.0× 235 0.7× 279 0.9× 211 0.7× 98 0.6× 41 2.1k
Jasmine Boshyan 1.7k 1.0× 397 1.2× 129 0.4× 219 0.8× 112 0.7× 22 2.1k
Rob van Lier 1.1k 0.6× 382 1.2× 287 1.0× 428 1.5× 161 1.0× 90 1.6k
Avniel Singh Ghuman 2.2k 1.2× 436 1.3× 153 0.5× 245 0.9× 182 1.2× 49 2.6k
Yoram Bonneh 1.9k 1.1× 261 0.8× 188 0.6× 177 0.6× 130 0.8× 90 2.1k
Andrew C. Connolly 1.9k 1.1× 361 1.1× 182 0.6× 375 1.3× 218 1.4× 24 2.2k
Weiwei Zhang 2.5k 1.4× 664 2.0× 179 0.6× 430 1.5× 162 1.0× 70 2.9k
Yaoda Xu 3.4k 1.9× 529 1.6× 328 1.1× 327 1.1× 297 1.9× 75 3.7k
Greg Detre 1.8k 1.0× 264 0.8× 111 0.4× 195 0.7× 144 0.9× 9 2.1k

Countries citing papers authored by Marieke Mur

Since Specialization
Citations

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

Fields of papers citing papers by Marieke Mur

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Marieke Mur

This figure shows the co-authorship network connecting the top 25 collaborators of Marieke Mur. A scholar is included among the top collaborators of Marieke Mur 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 Marieke Mur. Marieke Mur 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.
Mur, Marieke. (2023). Bridging visual developmental neuroscience and deep learning: challenges and future directions. Journal of Vision. 23(9). 4680–4680.
2.
Jozwik, Kamila M., Tim C. Kietzmann, Radoslaw Martin Cichy, Nikolaus Kriegeskorte, & Marieke Mur. (2023). Deep Neural Networks and Visuo-Semantic Models Explain Complementary Components of Human Ventral-Stream Representational Dynamics. Journal of Neuroscience. 43(10). 1731–1741. 8 indexed citations
3.
Basti, Alessio, Marieke Mur, Nikolaus Kriegeskorte, et al.. (2019). Analysing linear multivariate pattern transformations in neuroimaging data. PLoS ONE. 14(10). e0223660–e0223660. 13 indexed citations
4.
Henriksson, Linda, Marieke Mur, & Nikolaus Kriegeskorte. (2019). Rapid Invariant Encoding of Scene Layout in Human OPA. Neuron. 103(1). 161–171.e3. 41 indexed citations
5.
Schmitz, Taylor W., Marieke Mur, Meghmik Aghourian, Marc‐André Bédard, & R. Nathan Spreng. (2018). Longitudinal Alzheimer’s Degeneration Reflects the Spatial Topography of Cholinergic Basal Forebrain Projections. Cell Reports. 24(1). 38–46. 64 indexed citations
6.
Jozwik, Kamila M., Nikolaus Kriegeskorte, Katherine R. Storrs, & Marieke Mur. (2017). Deep Convolutional Neural Networks Outperform Feature-Based But Not Categorical Models in Explaining Object Similarity Judgments. Frontiers in Psychology. 8. 1726–1726. 75 indexed citations
7.
Schmitz, Taylor W., et al.. (2017). A supramodal role of the basal ganglia in memory and motor inhibition: Meta-analytic evidence. Neuropsychologia. 108. 117–134. 90 indexed citations
8.
Mur, Marieke, et al.. (2016). Extracting Object Identity: Ventral or Dorsal Visual Stream?. Journal of Neuroscience. 36(24). 6368–6370. 4 indexed citations
9.
Henriksson, Linda, Marieke Mur, & Nikolaus Kriegeskorte. (2015). Faciotopy—A face-feature map with face-like topology in the human occipital face area. Cortex. 72. 156–167. 51 indexed citations
10.
Jozwik, Kamila M., Nikolaus Kriegeskorte, & Marieke Mur. (2015). Visual features as stepping stones toward semantics: Explaining object similarity in IT and perception with non-negative least squares. Neuropsychologia. 83. 201–226. 52 indexed citations
11.
Goffaux, Valérie, Christine Schiltz, Marieke Mur, & Rainer Goebel. (2013). Local Discriminability Determines the Strength of Holistic Processing for Faces in the Fusiform Face Area. Frontiers in Psychology. 3. 604–604. 19 indexed citations
12.
Mur, Marieke, et al.. (2013). Human Object-Similarity Judgments Reflect and Transcend the Primate-IT Object Representation. Frontiers in Psychology. 4. 128–128. 103 indexed citations
13.
Liu, Ning, Nikolaus Kriegeskorte, Marieke Mur, et al.. (2013). Intrinsic Structure of Visual Exemplar and Category Representations in Macaque Brain. Journal of Neuroscience. 33(28). 11346–11360. 29 indexed citations
14.
Mur, Marieke, Douglas A. Ruff, Jerzy Bodurka, et al.. (2012). Categorical, Yet Graded - Single-Image Activation Profiles of Human Category-Selective Cortical Regions. Journal of Neuroscience. 32(25). 8649–8662. 47 indexed citations
15.
Kriegeskorte, Nikolaus & Marieke Mur. (2012). Inverse MDS: Inferring Dissimilarity Structure from Multiple Item Arrangements. Frontiers in Psychology. 3. 245–245. 149 indexed citations
16.
Mur, Marieke, Douglas A. Ruff, Jerzy Bodurka, Peter A. Bandettini, & Nikolaus Kriegeskorte. (2010). Face-Identity Change Activation Outside the Face System: “Release from Adaptation” May Not Always Indicate Neuronal Selectivity. Cerebral Cortex. 20(9). 2027–2042. 58 indexed citations
17.
Kriegeskorte, Nikolaus, Marieke Mur, Douglas A. Ruff, et al.. (2008). Matching Categorical Object Representations in Inferior Temporal Cortex of Man and Monkey. Neuron. 60(6). 1126–1141. 901 indexed citations breakdown →
18.
Broers, Nick J., Marieke Mur, & Luc Budé. (2004). Directed Self-Explanation in the Study of Statistics. 7 indexed citations
19.
Cranfield, R., G. Boorman, H. Boterenbrood, et al.. (1998). Prototyping hardware for the ATLAS readout buffers. 397–401. 2 indexed citations
20.
Mur, Marieke. (1980). Morpion: A fast hardware processor for straight line finding in MWPC. Nuclear Instruments and Methods. 176(1-2). 277–281. 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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