J.P. Pijn

2.5k total citations · 1 hit paper
16 papers, 1.9k citations indexed

About

J.P. Pijn is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience and Statistical and Nonlinear Physics. According to data from OpenAlex, J.P. Pijn has authored 16 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Cognitive Neuroscience, 5 papers in Cellular and Molecular Neuroscience and 5 papers in Statistical and Nonlinear Physics. Recurrent topics in J.P. Pijn's work include Neural dynamics and brain function (10 papers), Blind Source Separation Techniques (5 papers) and EEG and Brain-Computer Interfaces (4 papers). J.P. Pijn is often cited by papers focused on Neural dynamics and brain function (10 papers), Blind Source Separation Techniques (5 papers) and EEG and Brain-Computer Interfaces (4 papers). J.P. Pijn collaborates with scholars based in Netherlands, United States and Poland. J.P. Pijn's co-authors include Fernando H. Lopes da Silva, A.M.L. Coenen, E.L.J.M. van Luijtelaar, Hanneke K. M. Meeren, F.H. Lopes da Silva, André J. Noest, Jan van Neerven, Cornelis J. Stam, Fernando Lopes da Silva and Piotr Suffczyński and has published in prestigious journals such as Journal of Neuroscience, European Journal of Neuroscience and Electroencephalography and Clinical Neurophysiology.

In The Last Decade

J.P. Pijn

16 papers receiving 1.8k 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.

Cortical Focus Drives Widespread Corticothalamic Networks during Spontaneous Absence Seizures in Rats

2002 733 citations Hanneke K. M. Meeren, J.P. Pijn et al. Journal of Neuroscience profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
J.P. Pijn Netherlands	12	1.4k	735	383	355	295	16	1.9k
Evgenia Sitnikova Russia	24	1.3k 0.9×	771 1.0×	343 0.9×	163 0.5×	220 0.7×	96	1.9k
Piotr Suffczyński Poland	21	1.8k 1.3×	880 1.2×	236 0.6×	333 0.9×	172 0.6×	40	2.0k
Fernando Lopes da Silva Netherlands	18	2.2k 1.6×	962 1.3×	612 1.6×	137 0.4×	191 0.6×	26	2.7k
Demetrios N. Velis Netherlands	23	1.4k 1.0×	552 0.8×	662 1.7×	148 0.4×	124 0.4×	35	1.8k
Annika Lüttjohann Germany	23	803 0.6×	796 1.1×	333 0.9×	127 0.4×	271 0.9×	41	1.5k
D.N. Velis Netherlands	22	941 0.7×	536 0.7×	416 1.1×	156 0.4×	140 0.5×	29	1.5k
Přemysl Jiruška Czechia	22	1.7k 1.2×	1.2k 1.6×	734 1.9×	203 0.6×	270 0.9×	58	2.4k
William C. Stacey United States	25	1.9k 1.4×	1.3k 1.8×	705 1.8×	331 0.9×	290 1.0×	74	2.8k
James E. Skinner United States	20	835 0.6×	458 0.6×	97 0.3×	167 0.5×	182 0.6×	54	1.9k
Matthäus Staniek Germany	9	535 0.4×	233 0.3×	106 0.3×	235 0.7×	221 0.7×	9	1.1k

Countries citing papers authored by J.P. Pijn

Since Specialization

Citations

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

Fields of papers citing papers by J.P. Pijn

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by J.P. Pijn. 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 J.P. Pijn. The network helps show where J.P. Pijn may publish in the future.

Co-authorship network of co-authors of J.P. Pijn

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

All Works

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16 of 16 papers shown

Meeren, Hanneke K. M., J.P. Pijn, E.L.J.M. van Luijtelaar, A.M.L. Coenen, & Fernando H. Lopes da Silva. (2002). Cortical Focus Drives Widespread Corticothalamic Networks during Spontaneous Absence Seizures in Rats. Journal of Neuroscience. 22(4). 1480–1495. 733 indexed citations breakdown →

Pijn, J.P., et al.. (2000). RHYTHMS OF THE BRAIN: BETWEEN RANDOMNESS AND DETERMINISM. 63–76. 5 indexed citations

Stam, Cornelis J., et al.. (1999). Dynamics of the human alpha rhythm: evidence for non-linearity?. Clinical Neurophysiology. 110(10). 1801–1813. 208 indexed citations

Velis, D.N., J.P. Pijn, W. van Emde Boas, et al.. (1999). Non-linear analysis of intracranial human EEG in temporal lobe epilepsy. Clinical Neurophysiology. 110(10). 1726–1740. 31 indexed citations

Silva, Fernando H. Lopes da & J.P. Pijn. (1998). Epilepsy: network models of generation. MIT Press eBooks. 367–369. 6 indexed citations

Stam, Cornelis J., J.P. Pijn, & Walter S. Pritchard. (1998). Reliable detection of nonlinearity in experimental time series with strong periodic components. Physica D Nonlinear Phenomena. 112(3-4). 361–380. 62 indexed citations

Pijn, J.P., et al.. (1997). Alpha rhythms: noise, dynamics and models. International Journal of Psychophysiology. 26(1-3). 237–249. 100 indexed citations

Pijn, J.P., et al.. (1997). Nonlinear dynamics of epileptic seizures on basis of intracranial EEG recordings. Brain Topography. 9(4). 249–270. 128 indexed citations

Diks, Cees, et al.. (1996). Time reversibility of intracranial human EEG recordings in mesial temporal lobe epilepsy. Physics Letters A. 216(6). 283–288. 40 indexed citations

10.

Beldhuis, Hans, et al.. (1993). Propagation of Epileptiform Activity During Development of Amygdala Kindling in Rats: Linear and Non‐linear Association Between lpsi‐ and Contralateral Sites. European Journal of Neuroscience. 5(7). 944–954. 13 indexed citations

11.

Pijn, J.P., Jan van Neerven, André J. Noest, & F.H. Lopes da Silva. (1991). Chaos or noise in EEG signals; dependence on state and brain site. Electroencephalography and Clinical Neurophysiology. 79(5). 371–381. 324 indexed citations

12.

Lima, Vera Maura Fernandes de, J.P. Pijn, Carlos N. Filipe, & Fernando Lopes da Silva. (1990). The role of hippocampal commissures in the interhemispheric transfer of epileptiform afterdischarges in the rat: a study using linear and non-linear regression analysis. Electroencephalography and Clinical Neurophysiology. 76(6). 520–539. 43 indexed citations

13.

Pijn, J.P., et al.. (1990). Localization of epileptogenic foci using a new signal analytical approach. Neurophysiologie Clinique. 20(1). 1–11. 34 indexed citations

14.

Silva, Fernando Lopes da, J.P. Pijn, & Peter H. Boeijinga. (1989). Interdependence of EEG signals: Linear vs. nonlinear Associations and the significance of time delays and phase shifts. Brain Topography. 2(1-2). 9–18. 149 indexed citations

15.

Filipe, Carlos N., et al.. (1989). Propagation of afterdischarges along the septo-temporal axis of the rat hippocampus: a quantitative analysis. Electroencephalography and Clinical Neurophysiology. 73(2). 172–178. 8 indexed citations

16.

Pijn, J.P., O. Estévez, & L. H. van der Tweel. (1985). Evoked potential latencies as a function of contrast: a system analytical approach. Documenta Ophthalmologica. 59(2). 175–185. 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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