Peter Janssen

4.5k total citations
90 papers, 3.2k citations indexed

About

Peter Janssen is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience and Social Psychology. According to data from OpenAlex, Peter Janssen has authored 90 papers receiving a total of 3.2k indexed citations (citations by other indexed papers that have themselves been cited), including 72 papers in Cognitive Neuroscience, 23 papers in Cellular and Molecular Neuroscience and 7 papers in Social Psychology. Recurrent topics in Peter Janssen's work include Visual perception and processing mechanisms (44 papers), Neural dynamics and brain function (41 papers) and Motor Control and Adaptation (18 papers). Peter Janssen is often cited by papers focused on Visual perception and processing mechanisms (44 papers), Neural dynamics and brain function (41 papers) and Motor Control and Adaptation (18 papers). Peter Janssen collaborates with scholars based in Belgium, United States and United Kingdom. Peter Janssen's co-authors include Rufin Vogels, Guy A. Orban, Michael N. Shadlen, Bram-Ernst Verhoef, Maria C. Romero, Elsie Premereur, Wim Vanduffel, Tom Theys, Pierpaolo Pani and J. van Loon and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and Nature Communications.

In The Last Decade

Peter Janssen

87 papers receiving 3.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Peter Janssen Belgium 29 2.6k 476 462 265 265 90 3.2k
Lucia M. Vaina United States 30 2.7k 1.0× 308 0.6× 625 1.4× 339 1.3× 327 1.2× 105 3.2k
Alexander C. Huk United States 26 3.5k 1.3× 570 1.2× 256 0.6× 198 0.7× 359 1.4× 64 3.7k
Frans A.J. Verstraten Netherlands 30 3.2k 1.2× 365 0.8× 413 0.9× 393 1.5× 615 2.3× 125 3.4k
Bart Krekelberg United States 30 3.2k 1.2× 648 1.4× 298 0.6× 278 1.0× 430 1.6× 94 3.6k
David C. Bradley United States 20 3.0k 1.1× 663 1.4× 293 0.6× 257 1.0× 291 1.1× 32 3.6k
Daniel Kiper Switzerland 29 2.2k 0.8× 627 1.3× 499 1.1× 123 0.5× 163 0.6× 55 2.9k
Mark E. McCourt United States 30 3.2k 1.2× 224 0.5× 480 1.0× 177 0.7× 337 1.3× 99 3.8k
David C. Somers United States 29 3.8k 1.4× 766 1.6× 207 0.4× 171 0.6× 430 1.6× 75 4.3k
Dwight J. Kravitz United States 28 3.5k 1.3× 291 0.6× 374 0.8× 425 1.6× 499 1.9× 58 4.0k
Michael A. Paradiso United States 23 2.2k 0.8× 810 1.7× 334 0.7× 234 0.9× 198 0.7× 47 2.9k

Countries citing papers authored by Peter Janssen

Since Specialization
Citations

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

Fields of papers citing papers by Peter Janssen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Peter Janssen

This figure shows the co-authorship network connecting the top 25 collaborators of Peter Janssen. A scholar is included among the top collaborators of Peter Janssen 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 Peter Janssen. Peter Janssen 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.
Janssen, Peter, et al.. (2025). Single-neuron correlates of visual consciousness in human lateral occipital complex. Nature Communications. 16(1). 11008–11008.
2.
Murty, N. Apurva Ratan, Wim Van Paesschen, Stefania Bracci, et al.. (2024). Intracortical recordings reveal the neuronal selectivity for bodies and body parts in the human visual cortex. Proceedings of the National Academy of Sciences. 121(51). e2408871121–e2408871121. 2 indexed citations
3.
Bertrand, Alexander, et al.. (2024). Neuronal tuning and population representations of shape and category in human visual cortex. Nature Communications. 15(1). 4608–4608. 6 indexed citations
4.
Romero, Maria C., et al.. (2022). Neural effects of continuous theta-burst stimulation in macaque parietal neurons. eLife. 11. 16 indexed citations
5.
Janssen, Peter, et al.. (2021). The Causal Role of Three Frontal Cortical Areas in Grasping. Cerebral Cortex. 31(9). 4274–4288. 2 indexed citations
6.
Premereur, Elsie, et al.. (2021). Temporal dynamics of neural activity in macaque frontal cortex assessed with large-scale recordings. NeuroImage. 236. 118088–118088. 2 indexed citations
7.
Premereur, Elsie, Lieven Lagae, J. van Loon, et al.. (2019). Patient MW: transient visual hemi-agnosia. Journal of Neurology. 266(3). 691–698. 4 indexed citations
8.
Premereur, Elsie, Peter Janssen, & Wim Vanduffel. (2018). Functional MRI in Macaque Monkeys during Task Switching. Journal of Neuroscience. 38(50). 10619–10630. 9 indexed citations
9.
Loon, J. van, et al.. (2018). White matter tract anatomy in the rhesus monkey: a fiber dissection study. Brain Structure and Function. 223(8). 3681–3688. 24 indexed citations
10.
Premereur, Elsie, Wim Vanduffel, Pieter R. Roelfsema, & Peter Janssen. (2012). Frontal eye field microstimulation induces task-dependent gamma oscillations in the lateral intraparietal area. Journal of Neurophysiology. 108(5). 1392–1402. 17 indexed citations
11.
Premereur, Elsie, Wim Vanduffel, & Peter Janssen. (2011). Functional Heterogeneity of Macaque Lateral Intraparietal Neurons. Journal of Neuroscience. 31(34). 12307–12317. 35 indexed citations
12.
Theys, Tom, Johan van Loon, Jan Goffin, & Peter Janssen. (2009). Selectivity for disparity-defined three-dimensionsal shape in macaque premotor cortex. Online. 1 indexed citations
13.
Vogels, Rufin, et al.. (2009). The role of inferior temporal area TEs and posterior parietal area AIP in perceptual decisions about disparity-defined 3D shapes: a choice probability and inactivation study. Lirias (KU Leuven). 2 indexed citations
14.
Orban, Guy A., et al.. (2008). Disparity-defined 3D boundary and surface selectivity in macaque area AIP. Online. 1 indexed citations
15.
Kisban, Sebastian, Peter Janssen, Stanislav Herwik, et al.. (2008). Hybrid microprobes for chronic implantation in the cerebral cortex. PubMed. 2008. 2016–2019. 12 indexed citations
16.
Srivastava, Sumit, Guy A. Orban, & Peter Janssen. (2006). Selectivity for three-dimensional shape in macaque posterior parietal cortex. Online. 6 indexed citations
17.
Eagleman, David M., Peter U. Tse, Dean V. Buonomano, et al.. (2005). Time and the Brain: How Subjective Time Relates to Neural Time. Journal of Neuroscience. 25(45). 10369–10371. 140 indexed citations
18.
Janssen, Peter, Rufin Vogels, & Guy A. Orban. (2000). Three-Dimensional Shape Coding in Inferior Temporal Cortex. Neuron. 27(2). 385–397. 150 indexed citations
19.
Janssen, Peter, Rufin Vogels, Philip X. Joris, & Guy A. Orban. (1999). Macaque inferior temporal neurons are selective for small differences in 3D structure. Journal of Neuroscience. 25. 529. 2 indexed citations
20.
Mulders, John W. M., et al.. (1999). Prediction of the In‐vivo Biological Activity of Human Recombinant Follicle‐stimulating Hormone Using Quantitative Isoelectric Focusing. Optimization of the Model. Pharmacy and Pharmacology Communications. 5(1). 51–55. 7 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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