Jasper Poort

3.0k total citations · 1 hit paper
18 papers, 1.7k citations indexed

About

Jasper Poort is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience and Molecular Biology. According to data from OpenAlex, Jasper Poort has authored 18 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Cognitive Neuroscience, 8 papers in Cellular and Molecular Neuroscience and 2 papers in Molecular Biology. Recurrent topics in Jasper Poort's work include Neural dynamics and brain function (15 papers), Visual perception and processing mechanisms (10 papers) and Neurobiology and Insect Physiology Research (5 papers). Jasper Poort is often cited by papers focused on Neural dynamics and brain function (15 papers), Visual perception and processing mechanisms (10 papers) and Neurobiology and Insect Physiology Research (5 papers). Jasper Poort collaborates with scholars based in United Kingdom, Netherlands and Switzerland. Jasper Poort's co-authors include Pieter R. Roelfsema, Matthew W. Self, Chris van der Togt, Timo van Kerkoerle, Bruno Dagnino, Maneesh Sahani, Arne F. Meyer, John O’Keefe, Thomas D. Mrsic‐Flogel and Adil G. Khan and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Nature Communications.

In The Last Decade

Jasper Poort

18 papers receiving 1.7k citations

Hit Papers

Alpha and gamma oscillations characterize feedback and fe... 2014 2026 2018 2022 2014 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jasper Poort United Kingdom 14 1.6k 740 165 126 73 18 1.7k
Daniel Bush United Kingdom 21 1.4k 0.9× 778 1.1× 71 0.4× 110 0.9× 78 1.1× 48 1.7k
Dori Derdikman Israel 21 1.7k 1.1× 1.3k 1.7× 168 1.0× 201 1.6× 91 1.2× 35 2.1k
Timothy D. Hanks United States 14 1.8k 1.2× 443 0.6× 188 1.1× 167 1.3× 104 1.4× 21 2.1k
Ning-long Xu China 14 1.1k 0.7× 986 1.3× 180 1.1× 113 0.9× 42 0.6× 22 1.4k
Gregory D. Horwitz United States 24 1.4k 0.9× 694 0.9× 317 1.9× 162 1.3× 172 2.4× 49 1.9k
Steffen Katzner Germany 14 1.3k 0.8× 694 0.9× 133 0.8× 133 1.1× 60 0.8× 20 1.4k
Michael J. Jutras United States 11 1.0k 0.6× 850 1.1× 97 0.6× 112 0.9× 67 0.9× 12 1.4k
Vladimir Itskov United States 13 1.4k 0.9× 970 1.3× 121 0.7× 65 0.5× 35 0.5× 21 1.8k
Aman B. Saleem United Kingdom 20 2.2k 1.4× 1.5k 2.0× 279 1.7× 259 2.1× 120 1.6× 33 2.5k
Mattias Karlsson United States 16 1.8k 1.2× 1.5k 2.1× 84 0.5× 59 0.5× 78 1.1× 29 2.2k

Countries citing papers authored by Jasper Poort

Since Specialization
Citations

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

Fields of papers citing papers by Jasper Poort

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jasper Poort

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

All Works

18 of 18 papers shown
1.
González-Rueda, Ana, Kristopher T. Jensen, Jonathan J. Wilson, et al.. (2024). Kinetic features dictate sensorimotor alignment in the superior colliculus. Nature. 631(8020). 378–385. 12 indexed citations
2.
Chadwick, Angus, Adil G. Khan, Jasper Poort, et al.. (2022). Learning shapes cortical dynamics to enhance integration of relevant sensory input. Neuron. 111(1). 106–120.e10. 12 indexed citations
3.
Poort, Jasper, Katharina A. Wilmes, Antonin Blot, et al.. (2021). Learning and attention increase visual response selectivity through distinct mechanisms. Neuron. 110(4). 686–697.e6. 34 indexed citations
4.
Beest, Enny H. van, Sreedeep Mukherjee, Ulf H. Schnabel, et al.. (2021). Mouse visual cortex contains a region of enhanced spatial resolution. Nature Communications. 12(1). 4029–4029. 25 indexed citations
5.
Poort, Jasper & Arne F. Meyer. (2021). Vision: Depth perception in climbing mice. Current Biology. 31(10). R486–R488. 1 indexed citations
6.
Meyer, Arne F., John O’Keefe, & Jasper Poort. (2020). Two Distinct Types of Eye-Head Coupling in Freely Moving Mice. Current Biology. 30(11). 2116–2130.e6. 98 indexed citations
7.
Mukherjee, Sreedeep, Ulf H. Schnabel, Chris van der Togt, et al.. (2020). Mouse visual cortex contains a region of enhanced spatial resolution. SSRN Electronic Journal. 6 indexed citations
8.
Self, Matthew W., et al.. (2019). The Segmentation of Proto-Objects in the Monkey Primary Visual Cortex. Current Biology. 29(6). 1019–1029.e4. 23 indexed citations
9.
Khan, Adil G., Jasper Poort, Angus Chadwick, et al.. (2018). Distinct learning-induced changes in stimulus selectivity and interactions of GABAergic interneuron classes in visual cortex. Nature Neuroscience. 21(6). 851–859. 123 indexed citations
10.
Meyer, Arne F., Jasper Poort, John O’Keefe, Maneesh Sahani, & Jennifer F. Linden. (2018). A Head-Mounted Camera System Integrates Detailed Behavioral Monitoring with Multichannel Electrophysiology in Freely Moving Mice. Neuron. 100(1). 46–60.e7. 97 indexed citations
11.
Poort, Jasper, et al.. (2016). Texture Segregation Causes Early Figure Enhancement and Later Ground Suppression in Areas V1 and V4 of Visual Cortex. Cerebral Cortex. 26(10). 3964–3976. 55 indexed citations
12.
Poort, Jasper, Adil G. Khan, Marius Pachitariu, et al.. (2015). Learning Enhances Sensory and Multiple Non-sensory Representations in Primary Visual Cortex. Neuron. 86(6). 1478–1490. 258 indexed citations
13.
Kerkoerle, Timo van, Matthew W. Self, Bruno Dagnino, et al.. (2014). Alpha and gamma oscillations characterize feedback and feedforward processing in monkey visual cortex. Proceedings of the National Academy of Sciences. 111(40). 14332–14341. 587 indexed citations breakdown →
14.
Pooresmaeili, Arezoo, Jasper Poort, & Pieter R. Roelfsema. (2014). Simultaneous selection by object-based attention in visual and frontal cortex. Proceedings of the National Academy of Sciences. 111(17). 6467–6472. 55 indexed citations
15.
Poort, Jasper, et al.. (2012). The Role of Attention in Figure-Ground Segregation in Areas V1 and V4 of the Visual Cortex. Neuron. 75(1). 143–156. 161 indexed citations
16.
Schoffelen, Jan‐Mathijs, Jasper Poort, Robert Oostenveld, & Pascal Fries. (2011). Selective Movement Preparation Is Subserved by Selective Increases in Corticomuscular Gamma-Band Coherence. Journal of Neuroscience. 31(18). 6750–6758. 85 indexed citations
17.
Pooresmaeili, Arezoo, Jasper Poort, Alexander Thiele, & Pieter R. Roelfsema. (2010). Separable Codes for Attention and Luminance Contrast in the Primary Visual Cortex. Journal of Neuroscience. 30(38). 12701–12711. 50 indexed citations
18.
Poort, Jasper & Pieter R. Roelfsema. (2008). Noise Correlations Have Little Influence on the Coding of Selective Attention in Area V1. Cerebral Cortex. 19(3). 543–553. 47 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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