Luz Castro

413 total citations
7 papers, 257 citations indexed

About

Luz Castro is a scholar working on Computer Vision and Pattern Recognition, Cognitive Neuroscience and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Luz Castro has authored 7 papers receiving a total of 257 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Computer Vision and Pattern Recognition, 4 papers in Cognitive Neuroscience and 1 paper in Cardiology and Cardiovascular Medicine. Recurrent topics in Luz Castro's work include Aesthetic Perception and Analysis (4 papers), Image Retrieval and Classification Techniques (3 papers) and Visual Attention and Saliency Detection (2 papers). Luz Castro is often cited by papers focused on Aesthetic Perception and Analysis (4 papers), Image Retrieval and Classification Techniques (3 papers) and Visual Attention and Saliency Detection (2 papers). Luz Castro collaborates with scholars based in Spain, Portugal and France. Luz Castro's co-authors include Adrián Carballal, Nereida Rodríguez-Fernández, Iria Santos, Juan Romero, Álvaro Alesanco, J. García, Antonino Santos, João Correia, Penousal Machado and Carlos Fernández-Lozano and has published in prestigious journals such as Automation in Construction, Neural Computing and Applications and IEEE Journal of Biomedical and Health Informatics.

In The Last Decade

Luz Castro

7 papers receiving 246 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Luz Castro Spain	6	71	66	42	29	28	7	257
Iria Santos Spain	6	55 0.8×	66 1.0×	39 0.9×	30 1.0×	29 1.0×	15	245
Ludger Hovestadt Switzerland	8	55 0.8×	71 1.1×	8 0.2×	30 1.0×	29 1.0×	31	221
Rob Saunders Australia	8	32 0.5×	90 1.4×	27 0.6×	23 0.8×	85 3.0×	33	289
Marina Khoroshiltseva Italy	2	70 1.0×	79 1.2×	12 0.3×	89 3.1×	13 0.5×	2	295
Taysheng Jeng Taiwan	8	71 1.0×	71 1.1×	17 0.4×	21 0.7×	30 1.1×	35	220
Kyung Hoon Hyun South Korea	10	49 0.7×	27 0.4×	23 0.5×	8 0.3×	65 2.3×	42	291
Hijung Valentina Shin United States	12	182 2.6×	22 0.3×	11 0.3×	55 1.9×	13 0.5×	20	347
Tom Maver United Kingdom	9	22 0.3×	97 1.5×	13 0.3×	24 0.8×	56 2.0×	44	232
Barbara Strug Poland	8	21 0.3×	64 1.0×	7 0.2×	20 0.7×	40 1.4×	25	140
Jerzy Montusiewicz Poland	12	107 1.5×	27 0.4×	16 0.4×	185 6.4×	47 1.7×	63	371

Countries citing papers authored by Luz Castro

Since Specialization

Citations

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

Fields of papers citing papers by Luz Castro

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Luz Castro

This figure shows the co-authorship network connecting the top 25 collaborators of Luz Castro. A scholar is included among the top collaborators of Luz Castro 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 Luz Castro. Luz Castro is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

7 of 7 papers shown

1.

Castro, Luz, et al.. (2022). State of the Art on Artificial Intelligence in Land Use Simulation. Complexity. 2022(1). 6 indexed citations

2.

Castro, Luz, Adrián Carballal, Nereida Rodríguez-Fernández, Iria Santos, & Juan Romero. (2021). Artificial intelligence applied to conceptual design. A review of its use in architecture. Automation in Construction. 124. 103550–103550. 127 indexed citations

3.

Santos, Iria, et al.. (2021). Artificial Neural Networks and Deep Learning in the Visual Arts: a review. Neural Computing and Applications. 33(1). 121–157. 76 indexed citations

4.

Carballal, Adrián, Carlos Fernández-Lozano, Nereida Rodríguez-Fernández, Luz Castro, & Antonino Santos. (2019). Avoiding the Inherent Limitations in Datasets Used for Measuring Aesthetics When Using a Machine Learning Approach. Complexity. 2019(1). 9 indexed citations

5.

Carballal, Adrián, Antonino Santos, Juan Romero, et al.. (2016). Distinguishing paintings from photographs by complexity estimates. Neural Computing and Applications. 30(6). 1957–1969. 13 indexed citations

6.

Carballal, Adrián, et al.. (2014). Detecting Bias on Aesthetic Image Datasets. RePEc: Research Papers in Economics. 5(2). 62–74. 4 indexed citations

7.

Alesanco, Álvaro, et al.. (2012). SPIHT-Based Echocardiogram Compression: Clinical Evaluation and Recommendations of Use. IEEE Journal of Biomedical and Health Informatics. 17(1). 103–112. 22 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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