V. Sequeira

25 papers and 299 indexed citations i.

About

V. Sequeira is a scholar working on Aerospace Engineering, Computer Vision and Pattern Recognition and Geology. According to data from OpenAlex, V. Sequeira has authored 25 papers receiving a total of 299 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Aerospace Engineering, 16 papers in Computer Vision and Pattern Recognition and 12 papers in Geology. Recurrent topics in V. Sequeira’s work include Robotics and Sensor-Based Localization (15 papers), 3D Surveying and Cultural Heritage (12 papers) and Advanced Vision and Imaging (10 papers). V. Sequeira is often cited by papers focused on Robotics and Sensor-Based Localization (15 papers), 3D Surveying and Cultural Heritage (12 papers) and Advanced Vision and Imaging (10 papers). V. Sequeira collaborates with scholars based in Italy, United Kingdom and Portugal. V. Sequeira's co-authors include J.G.M. Gonçalves, David Hogg, Jian Yao, Isabel Ribeiro, Kia Ng, F. Vaz, Paulo Dias, Terenzio Zenone, Davorin Sudac and Paolo Peerani and has published in prestigious journals such as ISPRS Journal of Photogrammetry and Remote Sensing, The International Journal of Robotics Research and IEEE Transactions on Robotics.

In The Last Decade

Co-authorship network of co-authors of V. Sequeira i

Fields of papers citing papers by V. Sequeira

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by V. Sequeira

Since Specialization
Citations

This map shows the geographic impact of V. Sequeira'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 V. Sequeira with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites V. Sequeira 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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2025