Elisa Sayrol

35 total papers · 1.2k total citations
25 papers, 402 citations indexed

About

Elisa Sayrol is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Signal Processing. According to data from OpenAlex, Elisa Sayrol has authored 25 papers receiving a total of 402 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Computer Vision and Pattern Recognition, 10 papers in Media Technology and 4 papers in Signal Processing. Recurrent topics in Elisa Sayrol's work include Experimental Learning in Engineering (6 papers), Engineering Education and Curriculum Development (5 papers) and Advanced Steganography and Watermarking Techniques (5 papers). Elisa Sayrol is often cited by papers focused on Experimental Learning in Engineering (6 papers), Engineering Education and Curriculum Development (5 papers) and Advanced Steganography and Watermarking Techniques (5 papers). Elisa Sayrol collaborates with scholars based in Spain, United States and Brazil. Elisa Sayrol's co-authors include Junting Pan, Xavier Giró-i-Nieto, Noel E. O’Connor, Kevin McGuinness, Montse Pardàs, J.R. Fonollosa, Josep Vidal, Eduard Alarcón, R. Bragós and C.L. Nikias and has published in prestigious journals such as PLoS ONE, IEEE Transactions on Image Processing and International Journal of Environmental Research and Public Health.

In The Last Decade

Elisa Sayrol

21 papers receiving 387 citations

Author Peers

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

Author Last Decade Papers Cites
Elisa Sayrol 321 67 51 44 39 25 402
Mauricio Vanegas 172 0.5× 90 1.3× 74 1.5× 53 1.2× 25 0.6× 17 369
A. K. Karunakar 252 0.8× 32 0.5× 20 0.4× 32 0.7× 24 0.6× 51 416
Songyuan Li 283 0.9× 39 0.6× 18 0.4× 36 0.8× 14 0.4× 20 387
Zijun Wei 265 0.8× 42 0.6× 64 1.3× 24 0.5× 17 0.4× 27 410
Nicholas J. Butko 217 0.7× 110 1.6× 49 1.0× 11 0.3× 16 0.4× 18 353
Qi Han 271 0.8× 40 0.6× 21 0.4× 47 1.1× 7 0.2× 14 351
L. N. Podladchikova 304 0.9× 107 1.6× 56 1.1× 119 2.7× 10 0.3× 33 426
Jae‐Joon Han 335 1.0× 38 0.6× 61 1.2× 40 0.9× 99 2.5× 37 424
Çağlar Aytekin 223 0.7× 23 0.3× 9 0.2× 56 1.3× 22 0.6× 20 383
Ronan Flynn 148 0.5× 76 1.1× 142 2.8× 16 0.4× 61 1.6× 56 383

Countries citing papers authored by Elisa Sayrol

Since Specialization
Citations

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

Fields of papers citing papers by Elisa Sayrol

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Elisa Sayrol

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