Adrián Carballal

52 total papers · 1.3k total citations
27 papers, 737 citations indexed

About

Adrián Carballal is a scholar working on Computer Vision and Pattern Recognition, Cognitive Neuroscience and Molecular Biology. According to data from OpenAlex, Adrián Carballal has authored 27 papers receiving a total of 737 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Computer Vision and Pattern Recognition, 11 papers in Cognitive Neuroscience and 2 papers in Molecular Biology. Recurrent topics in Adrián Carballal's work include Aesthetic Perception and Analysis (11 papers), Visual Attention and Saliency Detection (8 papers) and Image and Video Quality Assessment (6 papers). Adrián Carballal is often cited by papers focused on Aesthetic Perception and Analysis (11 papers), Visual Attention and Saliency Detection (8 papers) and Image and Video Quality Assessment (6 papers). Adrián Carballal collaborates with scholars based in Spain, Portugal and China. Adrián Carballal's co-authors include Nereida Rodríguez-Fernández, Juan Romero, Luz Castro, Carlos Fernández-Lozano, Francisco J. Nóvoa, Alejandro Pazos, Penousal Machado, Francisco Cedrón, Víctor Maojo and José Liñares-Blanco and has published in prestigious journals such as SHILAP Revista de lepidopterología, Automation in Construction and Acta Psychologica.

In The Last Decade

Adrián Carballal

27 papers receiving 716 citations

Hit Papers

A review on machine learn... 2021 2026 2022 2024 2021 50 100 150 200 250

Author Peers

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

Author Last Decade Papers Cites
Adrián Carballal 175 167 138 129 73 27 737
Zhigang Shang 86 0.5× 55 0.3× 96 0.7× 168 1.3× 44 0.6× 72 864
Junrui Yang 24 0.1× 107 0.6× 168 1.2× 122 0.9× 14 0.2× 48 818
Liang Chen 57 0.3× 77 0.5× 24 0.2× 47 0.4× 24 0.3× 56 785
Anirudh Goyal 36 0.2× 211 1.3× 49 0.4× 49 0.4× 16 0.2× 37 881
Rui Henriques 51 0.3× 37 0.2× 64 0.5× 300 2.3× 69 0.9× 80 853
Sanjay Chakraborty 44 0.3× 46 0.3× 53 0.4× 61 0.5× 17 0.2× 42 731
Russell A. Kirsch 90 0.5× 445 2.7× 37 0.3× 66 0.5× 4 0.1× 24 835
Rose Yu 55 0.3× 44 0.3× 17 0.1× 72 0.6× 65 0.9× 42 622
Trang T. Le 34 0.2× 28 0.2× 148 1.1× 129 1.0× 8 0.1× 36 830
Artem Katasonov 23 0.1× 181 1.1× 34 0.2× 32 0.2× 24 0.3× 28 839

Countries citing papers authored by Adrián Carballal

Since Specialization
Citations

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

Fields of papers citing papers by Adrián Carballal

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Adrián Carballal

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