Iván García Daza

24 papers and 470 indexed citations i.

About

Iván García Daza is a scholar working on Computer Vision and Pattern Recognition, Automotive Engineering and Experimental and Cognitive Psychology. According to data from OpenAlex, Iván García Daza has authored 24 papers receiving a total of 470 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Computer Vision and Pattern Recognition, 15 papers in Automotive Engineering and 3 papers in Experimental and Cognitive Psychology. Recurrent topics in Iván García Daza’s work include Autonomous Vehicle Technology and Safety (15 papers), Video Surveillance and Tracking Methods (10 papers) and Advanced Neural Network Applications (4 papers). Iván García Daza is often cited by papers focused on Autonomous Vehicle Technology and Safety (15 papers), Video Surveillance and Tracking Methods (10 papers) and Advanced Neural Network Applications (4 papers). Iván García Daza collaborates with scholars based in Spain, Sweden and Argentina. Iván García Daza's co-authors include David Fernández Llorca, Luis M. Bergasa, Miguel Ángel Sotelo, J. Javier Yebes, Javier Almazán, Roberto Arroyo, I. Parra, Miguel Urrestarazu, Noelia Hernández and Vicente Milanés and has published in prestigious journals such as Expert Systems with Applications, Sensors and IEEE Access.

In The Last Decade

Co-authorship network of co-authors of Iván García Daza i

Fields of papers citing papers by Iván García Daza

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Iván García Daza. 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 Iván García Daza. The network helps show where Iván García Daza may publish in the future.

Countries citing papers authored by Iván García Daza

Since Specialization
Citations

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

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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