P. Huijse

71 total papers · 606 total citations
24 papers, 207 citations indexed

About

P. Huijse is a scholar working on Signal Processing, Astronomy and Astrophysics and Computational Mechanics. According to data from OpenAlex, P. Huijse has authored 24 papers receiving a total of 207 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Signal Processing, 10 papers in Astronomy and Astrophysics and 5 papers in Computational Mechanics. Recurrent topics in P. Huijse's work include Stellar, planetary, and galactic studies (9 papers), Time Series Analysis and Forecasting (6 papers) and Blind Source Separation Techniques (6 papers). P. Huijse is often cited by papers focused on Stellar, planetary, and galactic studies (9 papers), Time Series Analysis and Forecasting (6 papers) and Blind Source Separation Techniques (6 papers). P. Huijse collaborates with scholars based in Chile, United States and Germany. P. Huijse's co-authors include P. A. Estévez, Pavlos Protopapas, José C. Prı́ncipe, Pablo Zegers, Á. Rojas-Arriagada, D. Minniti, M. Zoccali, F. Gran, R. Contreras Ramos and J. Alonso-García and has published in prestigious journals such as The Astrophysical Journal, Monthly Notices of the Royal Astronomical Society and IEEE Transactions on Signal Processing.

In The Last Decade

P. Huijse

19 papers receiving 201 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
P. Huijse	103	73	48	36	36	24	207
L. Faccioli	171 1.7×	29 0.4×	88 1.8×	13 0.4×	35 1.0×	22	226
T. Boch	119 1.2×	11 0.2×	32 0.7×	34 0.9×	13 0.4×	25	157
Chenzhou Cui	62 0.6×	12 0.2×	41 0.9×	44 1.2×	26 0.7×	49	183
Kam-Ching Leung	107 1.0×	15 0.2×	19 0.4×	17 0.5×	45 1.3×	34	229
M. V. Pruzhinskaya	191 1.9×	14 0.2×	33 0.7×	29 0.8×	48 1.3×	29	240
A. Volnova	182 1.8×	13 0.2×	35 0.7×	30 0.8×	45 1.3×	44	227
György Mező	116 1.1×	10 0.1×	55 1.1×	25 0.7×	11 0.3×	30	212
J. De Vicente	61 0.6×	8 0.1×	24 0.5×	10 0.3×	53 1.5×	34	200
P. Aleo	196 1.9×	11 0.2×	50 1.0×	40 1.1×	46 1.3×	17	275
Jan Schier	92 0.9×	18 0.2×	26 0.5×	18 0.5×	8 0.2×	25	171

Countries citing papers authored by P. Huijse

Since Specialization

Citations

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

Fields of papers citing papers by P. Huijse

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of P. Huijse

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

All Works

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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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