Ian Blanes

1.1k total citations
52 papers, 761 citations indexed

About

Ian Blanes is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Media Technology. According to data from OpenAlex, Ian Blanes has authored 52 papers receiving a total of 761 indexed citations (citations by other indexed papers that have themselves been cited), including 41 papers in Computer Vision and Pattern Recognition, 18 papers in Artificial Intelligence and 9 papers in Media Technology. Recurrent topics in Ian Blanes's work include Advanced Data Compression Techniques (34 papers), Image and Signal Denoising Methods (16 papers) and Algorithms and Data Compression (15 papers). Ian Blanes is often cited by papers focused on Advanced Data Compression Techniques (34 papers), Image and Signal Denoising Methods (16 papers) and Algorithms and Data Compression (15 papers). Ian Blanes collaborates with scholars based in Spain, United States and United Kingdom. Ian Blanes's co-authors include Joan Serra-Sagristà, Cristina Fernández-Córdoba, Sergi Robles, Carlos Borrego, Miguel Hernández-Cabronero, Enrico Magli, Michael W. Marcellin, Aaron Kiely, Joan Bartrina-Rapestà and Francesc Aulí-Llinàs and has published in prestigious journals such as IEEE Transactions on Geoscience and Remote Sensing, IEEE Transactions on Image Processing and IEEE Access.

In The Last Decade

Ian Blanes

51 papers receiving 733 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ian Blanes Spain 15 515 187 115 111 82 52 761
M.A. Yoder United States 10 41 0.1× 228 1.2× 14 0.1× 39 0.4× 57 0.7× 39 440
S. Tanimoto United States 6 270 0.5× 48 0.3× 19 0.2× 53 0.5× 57 0.7× 13 402
Erin Wolf Chambers United States 15 135 0.3× 12 0.1× 16 0.1× 33 0.3× 51 0.6× 46 598
Terry A. Wilson United States 6 107 0.2× 179 1.0× 73 0.6× 35 0.3× 4 0.0× 10 365
Logan Scott United States 9 44 0.1× 14 0.1× 46 0.4× 149 1.3× 19 0.2× 17 410
Eiji Kamioka Japan 10 91 0.2× 17 0.1× 12 0.1× 37 0.3× 28 0.3× 119 420
Mohsen Ali Pakistan 13 183 0.4× 63 0.3× 4 0.0× 122 1.1× 10 0.1× 38 393
Matej Perše Slovenia 9 232 0.5× 74 0.4× 20 0.2× 101 0.9× 34 0.4× 15 388
Jorge de la Calleja Mexico 11 107 0.2× 16 0.1× 5 0.0× 96 0.9× 19 0.2× 40 388

Countries citing papers authored by Ian Blanes

Since Specialization
Citations

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

Fields of papers citing papers by Ian Blanes

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ian Blanes

This figure shows the co-authorship network connecting the top 25 collaborators of Ian Blanes. A scholar is included among the top collaborators of Ian Blanes 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 Ian Blanes. Ian Blanes 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.
Bartrina-Rapestà, Joan, et al.. (2024). Removing Data Dependencies in the CCSDS 123.0-B-2 Predictor Weight Updating. IEEE Geoscience and Remote Sensing Letters. 21. 1–5. 2 indexed citations
2.
Hernández-Cabronero, Miguel, et al.. (2021). Performance Improvement on k ²-Raster Compact Data Structure for Hyperspectral Scenes. IEEE Geoscience and Remote Sensing Letters. 19. 1–5. 1 indexed citations
3.
Blanes, Ian, Miguel Hernández-Cabronero, Joan Serra-Sagristà, & Michael W. Marcellin. (2020). Redundancy and Optimization of tANS Entropy Encoders. IEEE Transactions on Multimedia. 23. 4341–4350. 2 indexed citations
4.
Martínez, Manuel, Miguel Hernández-Cabronero, Ian Blanes, & Joan Serra-Sagristà. (2020). High-Throughput Variable-to-Fixed Entropy Codec Using Selective, Stochastic Code Forests. IEEE Access. 8. 81283–81297. 1 indexed citations
5.
Hernández-Cabronero, Miguel, J. Portell, Ian Blanes, & Joan Serra-Sagristà. (2020). High-Performance Lossless Compression of Hyperspectral Remote Sensing Scenes Based on Spectral Decorrelation. Remote Sensing. 12(18). 2955–2955. 14 indexed citations
6.
Blanes, Ian, Miguel Hernández-Cabronero, Joan Serra-Sagristà, & Michael W. Marcellin. (2019). Lower Bounds on the Redundancy of Huffman Codes With Known and Unknown Probabilities. IEEE Access. 7. 115857–115870. 3 indexed citations
7.
Borrego, Carlos, Cristina Fernández-Córdoba, Ian Blanes, & Sergi Robles. (2017). Room escape at class: Escape games activities to facilitate the motivation and learning in computer science. Journal of Technology and Science Education. 7(2). 162–162. 151 indexed citations
8.
Hernández-Cabronero, Miguel, Michael W. Marcellin, Ian Blanes, & Joan Serra-Sagristà. (2017). Lossless Compression of Color Filter Array Mosaic Images With Visualization via JPEG 2000. IEEE Transactions on Multimedia. 20(2). 257–270. 21 indexed citations
9.
Fernández-Córdoba, Cristina, et al.. (2016). Room escape en las aulas: actividades de juegos de escape para facilitar la motivación y el aprendizaje de las ciencias de la computación. 5 indexed citations
10.
Blanes, Ian, et al.. (2016). Mitigating discontinuities in segmented Karhunen-Loeve Transforms. UA Campus Repository (The University of Arizona). 2211–2215. 1 indexed citations
11.
Hernández-Cabronero, Miguel, Ian Blanes, Armando J. Pinho, Michael W. Marcellin, & Joan Serra-Sagristà. (2016). Progressive Lossy-to-Lossless Compression of DNA Microarray Images. IEEE Signal Processing Letters. 23(5). 698–702. 6 indexed citations
12.
Blanes, Ian, Miguel Hernández-Cabronero, Francesc Aulí-Llinàs, Joan Serra-Sagristà, & Michael W. Marcellin. (2014). Isorange Pairwise Orthogonal Transform. IEEE Transactions on Geoscience and Remote Sensing. 53(6). 3361–3372. 9 indexed citations
13.
Blanes, Ian, Enrico Magli, & Joan Serra-Sagristà. (2014). A Tutorial on Image Compression for Optical Space Imaging Systems. IEEE Geoscience and Remote Sensing Magazine. 2(3). 8–26. 81 indexed citations
14.
Hernández-Cabronero, Miguel, et al.. (2012). DNA Microarray Image Coding. 32–41. 4 indexed citations
15.
Hernández-Cabronero, Miguel, Ian Blanes, Michael W. Marcellin, & Joan Serra-Sagristà. (2012). Standard and Specific Compression Techniques for DNA Microarray Images. Algorithms. 5(1). 30–49. 2 indexed citations
16.
Blanes, Ian & Joan Serra-Sagristà. (2010). Pairwise Orthogonal Transform for Spectral Image Coding. IEEE Transactions on Geoscience and Remote Sensing. 49(3). 961–972. 47 indexed citations
17.
Blanes, Ian & Joan Serra-Sagristà. (2009). Clustered Reversible-KLT for Progressive Lossy-to-Lossless 3d Image Coding. 233–242. 16 indexed citations
18.
Lozano-Vilardell, P., et al.. (1995). [An aneurysm of the inferior mesenteric artery associated with obstruction of the superior mesenteric artery and the celiac trunk].. PubMed. 87(3). 255–8. 6 indexed citations
19.
Cairols, Marc, et al.. (1994). An exceptional case of popliteal entrapment syndrome. European Journal of Vascular Surgery. 8(6). 754–756. 4 indexed citations
20.
Lozano-Vilardell, P., et al.. (1994). [Aneurysm of the celiac trunk associated with infrarenal aortic and popliteal artery aneurysm].. PubMed. 85(2). 131–5. 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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