Tim C. Kietzmann

3.4k total citations · 3 hit papers
42 papers, 1.5k citations indexed

About

Tim C. Kietzmann is a scholar working on Cognitive Neuroscience, Computer Vision and Pattern Recognition and Artificial Intelligence. According to data from OpenAlex, Tim C. Kietzmann has authored 42 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Cognitive Neuroscience, 15 papers in Computer Vision and Pattern Recognition and 10 papers in Artificial Intelligence. Recurrent topics in Tim C. Kietzmann's work include Face Recognition and Perception (19 papers), Neural dynamics and brain function (15 papers) and Visual perception and processing mechanisms (15 papers). Tim C. Kietzmann is often cited by papers focused on Face Recognition and Perception (19 papers), Neural dynamics and brain function (15 papers) and Visual perception and processing mechanisms (15 papers). Tim C. Kietzmann collaborates with scholars based in Germany, United Kingdom and United States. Tim C. Kietzmann's co-authors include Jan Kietzmann, Nikolaus Kriegeskorte, Courtney J. Spoerer, Jeannette Paschen, Peter König, Linda W. Lee, Ian P. McCarthy, Johannes Mehrer, Radoslaw Martin Cichy and Lynn K. A. Sörensen and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and Journal of Neuroscience.

In The Last Decade

Tim C. Kietzmann

41 papers receiving 1.5k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Deepfakes: Trick or treat?

2019 244 citations Jan Kietzmann, Tim C. Kietzmann et al. profile →
Artificial intelligence (AI) and its implications for market knowledge in B2B marketing

2019 234 citations Jeannette Paschen, Jan Kietzmann et al. Journal of Business and Industrial Marketing profile →
The neuroconnectionist research programme

2023 88 citations Adrien Doerig, Katja Seeliger et al. Nature reviews. Neuroscience profile →

Peers

Tim C. Kietzmann

CVPR

SPS

ECP

Robin L. Hill United Kingdom

Eleonora Bilotta Italy

Katharina Reinecke United States

Marko Tkalčič Slovenia

Wai‐Tat Fu United States

Nam Wook Kim South Korea

Ching‐Hua Chuan United States

Max L. Wilson United Kingdom

Vidhya Navalpakkam United States

Daniel Gonçalves Portugal

Robin L. Hill United Kingdom

Tim C. Kietzmann

415 ×0.5

322 ×0.8

CVPR

182 ×0.6

136 ×0.6

SPS

172 ×1.6

ECP

Citations per year, relative to Tim C. Kietzmann Tim C. Kietzmann (= 1×) peers Robin L. Hill

Countries citing papers authored by Tim C. Kietzmann

Since Specialization

Citations

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

Fields of papers citing papers by Tim C. Kietzmann

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Tim C. Kietzmann. 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 Tim C. Kietzmann. The network helps show where Tim C. Kietzmann may publish in the future.

Co-authorship network of co-authors of Tim C. Kietzmann

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Doerig, Adrien, et al.. (2025). End-to-end topographic networks as models of cortical map formation and human visual behaviour. Nature Human Behaviour. 9(9). 1975–1991. 1 indexed citations

Richter, David, Tim C. Kietzmann, & Floris P. de Lange. (2024). High-level visual prediction errors in early visual cortex. PLoS Biology. 22(11). e3002829–e3002829. 6 indexed citations

Obermayer, Klaus, et al.. (2023). Empirically Identifying and Computationally Modeling the Brain–Behavior Relationship for Human Scene Categorization. Journal of Cognitive Neuroscience. 35(11). 1879–1897. 4 indexed citations

Doerig, Adrien, Katja Seeliger, Blake A. Richards, et al.. (2023). The neuroconnectionist research programme. Nature reviews. Neuroscience. 24(7). 431–450. 88 indexed citations breakdown →

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

Ehinger, Benedikt, et al.. (2022). WildLab : A naturalistic free viewing experiment reveals previously unknown electroencephalography signatures of face processing. European Journal of Neuroscience. 56(11). 6022–6038. 7 indexed citations

Ahmad, Nasir, et al.. (2022). Predictive coding is a consequence of energy efficiency in recurrent neural networks. Patterns. 3(12). 100639–100639. 36 indexed citations

Storrs, Katherine R., Tim C. Kietzmann, Alexander Walther, Johannes Mehrer, & Nikolaus Kriegeskorte. (2021). Diverse Deep Neural Networks All Predict Human Inferior Temporal Cortex Well, After Training and Fitting. Journal of Cognitive Neuroscience. 33(10). 1–21. 63 indexed citations

Spoerer, Courtney J., Tim C. Kietzmann, Johannes Mehrer, Ian Charest, & Nikolaus Kriegeskorte. (2020). Recurrent neural networks can explain flexible trading of speed and accuracy in biological vision. PLoS Computational Biology. 16(10). e1008215–e1008215. 57 indexed citations

10.

Spoerer, Courtney J., Tim C. Kietzmann, & Nikolaus Kriegeskorte. (2019). \nRecurrent networks can recycle neural resources to flexibly trade speed for accuracy in visual recognition. Radboud Repository (Radboud University). 7 indexed citations

11.

Paschen, Jeannette, Jan Kietzmann, & Tim C. Kietzmann. (2019). Artificial intelligence (AI) and its implications for market knowledge in B2B marketing. Journal of Business and Industrial Marketing. 34(7). 1410–1419. 234 indexed citations breakdown →

12.

Hernández-García, Álex, Peter König, & Tim C. Kietzmann. (2019). \nLearning robust visual representations using data augmentation invariance. Radboud Repository (Radboud University). 4 indexed citations

13.

Wilming, Niklas, Selim Onat, José Ossandón, et al.. (2017). An extensive dataset of eye movements during viewing of complex images. Scientific Data. 4(1). 160126–160126. 31 indexed citations

14.

Kietzmann, Tim C., et al.. (2016). Extensive training leads to temporal and spatial shifts of cortical activity underlying visual category selectivity. NeuroImage. 134. 22–34. 6 indexed citations

15.

Kietzmann, Tim C., Sonia Poltoratski, Peter König, et al.. (2015). The Occipital Face Area Is Causally Involved in Facial Viewpoint Perception. Journal of Neuroscience. 35(50). 16398–16403. 14 indexed citations

16.

Kietzmann, Tim C. & Peter König. (2015). Effects of contextual information and stimulus ambiguity on overt visual sampling behavior. Vision Research. 110(Pt A). 76–86. 14 indexed citations

17.

Kietzmann, Tim C., Jascha D. Swisher, Peter König, & Frank Tong. (2012). Prevalence of Selectivity for Mirror-Symmetric Views of Faces in the Ventral and Dorsal Visual Pathways. Journal of Neuroscience. 32(34). 11763–11772. 54 indexed citations

18.

Kietzmann, Tim C., Stephan Geuter, & Peter König. (2011). Overt Visual Attention as a Causal Factor of Perceptual Awareness. PLoS ONE. 6(7). e22614–e22614. 36 indexed citations

19.

Wilming, Niklas, et al.. (2011). Measures and Limits of Models of Fixation Selection. PLoS ONE. 6(9). e24038–e24038. 44 indexed citations

20.

Kietzmann, Tim C., Sascha Lange, & Martin Riedmiller. (2008). Computational object recognition: a biologically motivated approach. Biological Cybernetics. 100(1). 59–79. 10 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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