Jaap van Pelt

2.6k total citations
65 papers, 1.7k citations indexed

About

Jaap van Pelt is a scholar working on Cellular and Molecular Neuroscience, Cognitive Neuroscience and Biophysics. According to data from OpenAlex, Jaap van Pelt has authored 65 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Cellular and Molecular Neuroscience, 33 papers in Cognitive Neuroscience and 13 papers in Biophysics. Recurrent topics in Jaap van Pelt's work include Neural dynamics and brain function (30 papers), Neuroscience and Neuropharmacology Research (20 papers) and Neuroscience and Neural Engineering (16 papers). Jaap van Pelt is often cited by papers focused on Neural dynamics and brain function (30 papers), Neuroscience and Neuropharmacology Research (20 papers) and Neuroscience and Neural Engineering (16 papers). Jaap van Pelt collaborates with scholars based in Netherlands, Germany and United States. Jaap van Pelt's co-authors include H.B.M. Uylings, Arjen van Ooyen, R.W.H. Verwer, M.A. Corner, G.J.A. Ramakers, P.S. Wolters, Michiel W. H. Remme, Jacob Duijnhouwer, Cyriel M. A. Pennartz and Don Klinkenberg and has published in prestigious journals such as Journal of Neuroscience, PLoS ONE and The Journal of Comparative Neurology.

In The Last Decade

Jaap van Pelt

64 papers receiving 1.7k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jaap van Pelt Netherlands 25 868 778 388 343 184 65 1.7k
Hermann Cuntz Germany 22 868 1.0× 736 0.9× 290 0.7× 284 0.8× 156 0.8× 45 1.5k
Michinori Ichikawa Japan 18 895 1.0× 416 0.5× 273 0.7× 825 2.4× 143 0.8× 40 1.9k
Adam M. Packer United Kingdom 18 1.8k 2.1× 1.6k 2.0× 399 1.0× 360 1.0× 53 0.3× 38 2.5k
Susan L. Wearne United States 33 1.3k 1.5× 924 1.2× 422 1.1× 710 2.1× 126 0.7× 53 4.2k
Arjen van Ooyen Netherlands 33 1.5k 1.7× 1.9k 2.5× 313 0.8× 542 1.6× 320 1.7× 95 3.5k
Timothy A. Machado United States 10 1.1k 1.3× 1.1k 1.5× 310 0.8× 428 1.2× 180 1.0× 13 1.9k
J. van Pelt Netherlands 22 1.0k 1.2× 858 1.1× 93 0.2× 221 0.6× 73 0.4× 42 1.5k
Shaul Druckmann United States 23 1.5k 1.8× 1.8k 2.4× 177 0.5× 256 0.7× 110 0.6× 43 2.7k
Quan Wen China 25 649 0.7× 367 0.5× 181 0.5× 493 1.4× 168 0.9× 79 2.1k
Jack Waters United States 29 1.8k 2.1× 1.4k 1.8× 340 0.9× 976 2.8× 169 0.9× 55 2.9k

Countries citing papers authored by Jaap van Pelt

Since Specialization
Citations

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

Fields of papers citing papers by Jaap van Pelt

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jaap van Pelt. 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 Jaap van Pelt. The network helps show where Jaap van Pelt may publish in the future.

Co-authorship network of co-authors of Jaap van Pelt

This figure shows the co-authorship network connecting the top 25 collaborators of Jaap van Pelt. A scholar is included among the top collaborators of Jaap van Pelt 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 Jaap van Pelt. Jaap van Pelt 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.
Mansvelder, Huibert D., et al.. (2015). H-Channels Affect Frequency, Power and Amplitude Fluctuations of Neuronal Network Oscillations. Frontiers in Computational Neuroscience. 9. 141–141. 7 indexed citations
2.
Hjorth, J. J. Johannes, Jaap van Pelt, Huibert D. Mansvelder, & Arjen van Ooyen. (2014). Competitive Dynamics during Resource-Driven Neurite Outgrowth. PLoS ONE. 9(2). e86741–e86741. 17 indexed citations
3.
Aerde, Karlijn I. van, et al.. (2014). Inter-Network Interactions: Impact of Connections between Oscillatory Neuronal Networks on Oscillation Frequency and Pattern. PLoS ONE. 9(7). e100899–e100899. 12 indexed citations
4.
Pelt, Jaap van & H.B.M. Uylings. (2012). The Flatness of Bifurcations in 3D Dendritic Trees: An Optimal Design. Frontiers in Computational Neuroscience. 5. 54–54. 5 indexed citations
5.
Aerde, Karlijn I. van, Simon‐Shlomo Poil, Huibert D. Mansvelder, et al.. (2012). External Drive to Inhibitory Cells Induces Alternating Episodes of High- and Low-Amplitude Oscillations. PLoS Computational Biology. 8(8). e1002666–e1002666. 10 indexed citations
6.
Pelt, Jaap van, et al.. (2010). An Algorithm for Finding Candidate Synaptic Sites in Computer Generated Networks of Neurons with Realistic Morphologies. Frontiers in Computational Neuroscience. 4. 148–148. 10 indexed citations
7.
Vajda, Ildikó, Jaap van Pelt, P.S. Wolters, et al.. (2008). Low-Frequency Stimulation Induces Stable Transitions in Stereotypical Activity in Cortical Networks. Biophysical Journal. 94(12). 5028–5039. 49 indexed citations
8.
Pelt, Jaap van, et al.. (2006). Compartment Volume Influences Microtubule Dynamic Instability: A Model Study. Biophysical Journal. 90(3). 788–798. 33 indexed citations
9.
10.
Pelt, Jaap van, Ildikó Vajda, P.S. Wolters, M.A. Corner, & G.J.A. Ramakers. (2004). Dynamics and plasticity in developing neuronal networks in vitro. Progress in brain research. 147. 171–188. 129 indexed citations
11.
Corner, M.A., Robert E. Baker, Jaap van Pelt, & P.S. Wolters. (2004). Compensatory physiological responses to chronic blockade of amino acid receptors during early development in spontaneously active organotypic cerebral cortex explants cultured in vitro. Progress in brain research. 147. 231–248. 18 indexed citations
12.
Pelt, Jaap van & H.B.M. Uylings. (2002). Branching rates and growth functions in the outgrowth of dendritic branching patterns. Network Computation in Neural Systems. 13(3). 261–281. 34 indexed citations
13.
Ooyen, Arjen van, Jacob Duijnhouwer, Michiel W. H. Remme, & Jaap van Pelt. (2002). The effect of dendritic topology on firing patterns in model neurons. Network Computation in Neural Systems. 13(3). 311–325. 54 indexed citations
14.
Scheper, T., Don Klinkenberg, Jaap van Pelt, & Cyriel M. A. Pennartz. (1999). A Model of Molecular Circadian Clocks: Multiple Mechanisms for Phase Shifting and a Requirement for Strong Nonlinear Interactions. Journal of Biological Rhythms. 14(3). 213–220. 26 indexed citations
15.
Pelt, Jaap van. (1997). Effect of Pruning on Dendritic Tree Topology. Journal of Theoretical Biology. 186(1). 17–32. 21 indexed citations
16.
Pelt, Jaap van, Arjen van Ooyen, & M.A. Corner. (1996). Chapter 23 Growth cone dynamics and activity-dependent processes in neuronal network development. Progress in brain research. 108. 333–346. 30 indexed citations
17.
Pelt, Jaap van, et al.. (1993). Terminal and intermediate segment lenghts in neuronal trees with finite length. Bulletin of Mathematical Biology. 55(2). 277–294. 9 indexed citations
18.
Pelt, Jaap van, et al.. (1992). Tree asymmetry—A sensitive and practical measure for binary topological trees. Bulletin of Mathematical Biology. 54(5). 759–784. 86 indexed citations
19.
Pelt, Jaap van. (1992). A simple vector implementation of the Laplace-transformed cable equations in passive dendritic trees. Biological Cybernetics. 68(1). 15–21. 12 indexed citations
20.
Uylings, H.B.M., R.W.H. Verwer, Jaap van Pelt, & John G. Parnavelas. (1983). Topological analysis of dendritic growth at various stages of cerebral development. Image Analysis & Stereology. 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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