J. Portell

128 total papers · 31.7k total citations
26 papers, 147 citations indexed

About

J. Portell is a scholar working on Computer Networks and Communications, Artificial Intelligence and Computer Vision and Pattern Recognition. According to data from OpenAlex, J. Portell has authored 26 papers receiving a total of 147 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Computer Networks and Communications, 9 papers in Artificial Intelligence and 8 papers in Computer Vision and Pattern Recognition. Recurrent topics in J. Portell's work include Algorithms and Data Compression (9 papers), Astronomy and Astrophysical Research (7 papers) and Advanced Data Compression Techniques (7 papers). J. Portell is often cited by papers focused on Algorithms and Data Compression (9 papers), Astronomy and Astrophysical Research (7 papers) and Advanced Data Compression Techniques (7 papers). J. Portell collaborates with scholars based in Spain, Germany and United States. J. Portell's co-authors include C. Fabricius, U. Bastian, J. Castañeda, E. Garcı́a–Berro, M. Clotet, Ian Blanes, Miguel Hernández-Cabronero, Joan Serra-Sagristà, A. Gúrpide and J. Torra and has published in prestigious journals such as Sensors, International Journal of Remote Sensing and Astronomy and Astrophysics.

In The Last Decade

J. Portell

22 papers receiving 142 citations

Author Peers

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

Author Last Decade Papers Cites
J. Portell 87 52 31 24 21 26 147
John F. Wu 113 1.3× 49 0.9× 10 0.3× 25 1.0× 13 0.6× 24 210
Danica J. Sutherland 73 0.8× 23 0.4× 36 1.2× 64 2.7× 10 0.5× 18 171
Bo Peng 179 2.1× 23 0.4× 14 0.5× 21 0.9× 15 0.7× 27 282
Michele Sasdelli 111 1.3× 17 0.3× 46 1.5× 89 3.7× 9 0.4× 17 225
T. Boch 119 1.4× 32 0.6× 5 0.2× 13 0.5× 8 0.4× 25 157
M. V. Pruzhinskaya 191 2.2× 33 0.6× 5 0.2× 48 2.0× 12 0.6× 29 240
L. P. Xin 199 2.3× 28 0.5× 8 0.3× 7 0.3× 6 0.3× 37 227
L. Faccioli 171 2.0× 88 1.7× 12 0.4× 35 1.5× 15 0.7× 22 226
P. Huijse 103 1.2× 48 0.9× 7 0.2× 36 1.5× 15 0.7× 24 207
Jan Schier 92 1.1× 26 0.5× 8 0.3× 8 0.3× 5 0.2× 25 171

Countries citing papers authored by J. Portell

Since Specialization
Citations

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

Fields of papers citing papers by J. Portell

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of J. Portell

This figure shows the co-authorship network connecting the top 25 collaborators of J. Portell. A scholar is included among the top collaborators of J. Portell 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. Portell. J. Portell 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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