Vico Pascual

889 total citations
25 papers, 548 citations indexed

About

Vico Pascual is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Computational Theory and Mathematics. According to data from OpenAlex, Vico Pascual has authored 25 papers receiving a total of 548 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Artificial Intelligence, 9 papers in Computer Vision and Pattern Recognition and 5 papers in Computational Theory and Mathematics. Recurrent topics in Vico Pascual's work include Digital Imaging for Blood Diseases (5 papers), Logic, programming, and type systems (5 papers) and Cell Image Analysis Techniques (5 papers). Vico Pascual is often cited by papers focused on Digital Imaging for Blood Diseases (5 papers), Logic, programming, and type systems (5 papers) and Cell Image Analysis Techniques (5 papers). Vico Pascual collaborates with scholars based in Spain, Mexico and United Kingdom. Vico Pascual's co-authors include Jónathan Heras, César Domínguez, Eloy Mata, Cármen Torres, Myriam Zarazaga, Carmen Lozano, Julio Rubio, Carla Andrea Alonso, Miguel Ángel Zapata and Ignacio Ochoa and has published in prestigious journals such as IEEE Access, BMC Bioinformatics and Neurocomputing.

In The Last Decade

Vico Pascual

22 papers receiving 532 citations

Peers

Vico Pascual

ENDOC

Eloy Mata Spain

Hyunseung Yoo United States

Baoqing Guo China

Sandeep Kaur India

Anam Tariq Pakistan

Paul Fieguth Canada

Juan Hu China

Mei‐Hui Wang Taiwan

Michelle M. Li United States

Eloy Mata Spain

Vico Pascual

109 ×0.9

111 ×1.0

101 ×1.0

ENDOC

46 ×0.6

64 ×1.0

Citations per year, relative to Vico Pascual Vico Pascual (= 1×) peers Eloy Mata

Countries citing papers authored by Vico Pascual

Since Specialization

Citations

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

Fields of papers citing papers by Vico Pascual

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Vico Pascual

This figure shows the co-authorship network connecting the top 25 collaborators of Vico Pascual. A scholar is included among the top collaborators of Vico Pascual 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 Vico Pascual. Vico Pascual 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:

20 of 20 papers shown

Domínguez, César, et al.. (2023). Deep style transfer to deal with the domain shift problem on spheroid segmentation. Neurocomputing. 569. 127105–127105. 9 indexed citations

Domínguez, César, et al.. (2023). Analysing semi-supervised learning for image classification using compact networks in the biomedical context. Soft Computing. 28(15-16). 8931–8943. 2 indexed citations

Domínguez, César, et al.. (2022). Binary and multi-class automated detection of age-related macular degeneration using convolutional- and transformer-based architectures. Computer Methods and Programs in Biomedicine. 229. 107302–107302. 19 indexed citations

Domínguez, César, Jónathan Heras, María López, et al.. (2021). MotilityJ: An open-source tool for the classification and segmentation of bacteria on motility images. Computers in Biology and Medicine. 136. 104673–104673. 9 indexed citations

Domínguez, César, et al.. (2020). Biomedical image classification made easier thanks to transfer and semi-supervised learning. Computer Methods and Programs in Biomedicine. 198. 105782–105782. 22 indexed citations

Domínguez, César, et al.. (2020). SpheroidJ: An Open-Source Set of Tools for Spheroid Segmentation. Computer Methods and Programs in Biomedicine. 200. 105837–105837. 28 indexed citations

Domínguez, César, et al.. (2020). FrImCla: A Framework for Image Classification Using Traditional and Transfer Learning Techniques. IEEE Access. 8. 53443–53455. 4 indexed citations

Domínguez, César, et al.. (2019). CLoDSA: a tool for augmentation in classification, localization, detection, semantic segmentation and instance segmentation tasks. BMC Bioinformatics. 20(1). 323–323. 55 indexed citations

Domínguez, César, et al.. (2019). DeepClas4Bio: Connecting bioimaging tools with deep learning frameworks for image classification. Computers in Biology and Medicine. 108. 49–56. 8 indexed citations

10.

Domínguez, César, Jónathan Heras, Eloy Mata, & Vico Pascual. (2018). DecoFungi: a web application for automatic characterisation of dye decolorisation in fungal strains. BMC Bioinformatics. 19(1). 66–66. 2 indexed citations

11.

Domínguez, César, Jónathan Heras, & Vico Pascual. (2017). IJ-OpenCV: Combining ImageJ and OpenCV for processing images in biomedicine. Computers in Biology and Medicine. 84. 189–194. 38 indexed citations

12.

Alonso, Carla Andrea, César Domínguez, Jónathan Heras, et al.. (2017). Antibiogramj: A tool for analysing images from disk diffusion tests. Computer Methods and Programs in Biomedicine. 143. 159–169. 35 indexed citations

13.

Heras, Jónathan, César Domínguez, Eloy Mata, et al.. (2015). GelJ – a tool for analyzing DNA fingerprint gel images. BMC Bioinformatics. 16(1). 270–270. 258 indexed citations

14.

Heras, Jónathan, et al.. (2015). Modelling algebraic structures and morphisms in ACL2. Applicable Algebra in Engineering Communication and Computing. 26(3). 277–303. 5 indexed citations

15.

Heras, Jónathan, César Domínguez, Eloy Mata, et al.. (2015). A survey of tools for analysing DNA fingerprints. Briefings in Bioinformatics. 17(6). 903–911. 13 indexed citations

16.

Heras, Jónathan, César Domínguez, Eloy Mata, & Vico Pascual. (2015). Surveying and benchmarking techniques to analyse DNA gel fingerprint images. Briefings in Bioinformatics. 17(6). bbv102–bbv102. 3 indexed citations

17.

Heras, Jónathan, Vico Pascual, Julio Rubio, & Francis Sergeraert. (2011). fKenzo: A user interface for computations in Algebraic Topology. Journal of Symbolic Computation. 46(6). 685–698. 8 indexed citations

18.

Heras, Jónathan, et al.. (2010). Integrating multiple sources to answer questions in algebraic topology. arXiv (Cornell University). 331–335.

19.

Pascual, Vico, et al.. (2003). XML-Based Interoperability Among Symbolic Computation Systems.. RIUR (Universidad de La Rioja). 925–928.

20.

Pascual, Vico, et al.. (2003). An Object-oriented Interpretation of the EAT System. Applicable Algebra in Engineering Communication and Computing. 14(3). 187–215. 13 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.

Explore authors with similar magnitude of impact