Alberto Albiol

73 total papers · 1.8k total citations
52 papers, 938 citations indexed

About

Alberto Albiol is a scholar working on Computer Vision and Pattern Recognition, Signal Processing and Biomedical Engineering. According to data from OpenAlex, Alberto Albiol has authored 52 papers receiving a total of 938 indexed citations (citations by other indexed papers that have themselves been cited), including 38 papers in Computer Vision and Pattern Recognition, 11 papers in Signal Processing and 10 papers in Biomedical Engineering. Recurrent topics in Alberto Albiol's work include Advanced Image and Video Retrieval Techniques (13 papers), Video Analysis and Summarization (12 papers) and Video Surveillance and Tracking Methods (11 papers). Alberto Albiol is often cited by papers focused on Advanced Image and Video Retrieval Techniques (13 papers), Video Analysis and Summarization (12 papers) and Video Surveillance and Tracking Methods (11 papers). Alberto Albiol collaborates with scholars based in Spain, United States and United Kingdom. Alberto Albiol's co-authors include Edward J. Delp, Antonio Albiol, L. Torres, Roberto Paredes, Jorge Sastre, Charles A. Bouman, Antoine Martin, F. Albiol, Cuneyt M. Taskiran and Laura A. Sanchis and has published in prestigious journals such as Scientific Reports, IEEE Access and IEEE Transactions on Medical Imaging.

In The Last Decade

Alberto Albiol

51 papers receiving 845 citations

Author Peers

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

Author Last Decade Papers Cites
Alberto Albiol 773 178 108 95 63 52 938
Chengjun Liu 760 1.0× 167 0.9× 135 1.3× 159 1.7× 27 0.4× 76 1.0k
Riad Hammoud 766 1.0× 108 0.6× 214 2.0× 189 2.0× 71 1.1× 71 1.2k
Hang-Bong Kang 401 0.5× 85 0.5× 150 1.4× 78 0.8× 56 0.9× 69 812
Maher Jridi 641 0.8× 275 1.5× 103 1.0× 81 0.9× 16 0.3× 43 882
Adıń Ramıŕez Rivera 757 1.0× 87 0.5× 122 1.1× 90 0.9× 41 0.7× 31 917
Modesto Castrillón-Santana 782 1.0× 240 1.3× 161 1.5× 62 0.7× 111 1.8× 74 1.2k
Muhammad Uzair 446 0.6× 108 0.6× 231 2.1× 224 2.4× 39 0.6× 54 992
Siu‐Yeung Cho 604 0.8× 65 0.4× 116 1.1× 128 1.3× 25 0.4× 57 920
Ohad Fried 950 1.2× 99 0.6× 171 1.6× 48 0.5× 34 0.5× 31 1.2k
Zhiquan He 487 0.6× 82 0.5× 165 1.5× 83 0.9× 50 0.8× 66 1.1k

Countries citing papers authored by Alberto Albiol

Since Specialization
Citations

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

Fields of papers citing papers by Alberto Albiol

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Alberto Albiol

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