Inmaculada Ventura

About

Inmaculada Ventura is a scholar working on Computer Graphics and Computer-Aided Design, Signal Processing and Computer Vision and Pattern Recognition. According to data from OpenAlex, Inmaculada Ventura has authored 24 papers receiving a total of 207 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Computer Graphics and Computer-Aided Design, 11 papers in Signal Processing and 7 papers in Computer Vision and Pattern Recognition. Recurrent topics in Inmaculada Ventura’s work include Computational Geometry and Mesh Generation (18 papers), Data Management and Algorithms (8 papers) and Facility Location and Emergency Management (4 papers). Inmaculada Ventura is often cited by papers focused on Computational Geometry and Mesh Generation (18 papers), Data Management and Algorithms (8 papers) and Facility Location and Emergency Management (4 papers). Inmaculada Ventura collaborates with scholars based in Spain, Mexico and United States. Inmaculada Ventura's co-authors include José Miguel Díaz-Báñez, Carlos Seara, Sergio Cabello, Pablo Pérez-Lantero, Stefan Langerman, José J. Acevedo, Anı́bal Ollero, Iván Maza, Begoña C. Arrue and Jorge Urrutia and has published in prestigious journals such as European Journal of Operational Research, Applied Mathematics and Computation and Annals of Operations Research.

In The Last Decade

Co-authorship network of co-authors of Inmaculada Ventura i

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Fields of papers citing papers by Inmaculada Ventura

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Inmaculada Ventura

Since Specialization

Citations

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