V. Sequeira

1.1k citations
55 papers · 618 indexed · h-index 15

Impact in

Papers in

V. Sequeira

51 papers receiving 564 citations

Peers

V. Sequeira
Comparison fields: 5 of 78
  • Geology 283
  • Computer Vision and Pattern Recognition 311
  • Computer Graphics and Computer-Aided Design 49
  • Aerospace Engineering 339
  • Instrumentation 44
Replace J.G.M. Gonçalves with:
J.G.M. Gonçalves Italy
Michal Jančošek Czechia
François Blais Canada
Carles Matabosch Spain
S.W. Lee South Korea
Timothy A. Clarke United Kingdom
Minh-Khoi Tran Singapore
Klaas Klasing Germany
Réjean Baribeau Canada
Роман Шаповалов United States
V. Sequeira relative to J.G.M. Gonçalves Italy J.G.M. Gonçalves's profile →
Citations per field
00.5×5.3×
J.G.M. Gonçalves · 1×
Citations per year

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).

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.

Co-authors

The 25 scholars most cited alongside V. Sequeira, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with V. Sequeira Line = papers co-authored together V. Sequeira links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 55 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1999126
2 199838
3 200434
4 200333
5 201030
6 201528
7 199527
8 200223
9 200723
10 199621
11 200517
12 200217
13 201616
14 200016
15 201914
16 200012
17 200412
18 200712
19 200811
20 20048

About V. Sequeira

V. Sequeira is a scholar working on Computer Vision and Pattern Recognition, Aerospace Engineering, Geology, Environmental Engineering and Biomedical Engineering, having authored 55 papers that have together received 618 indexed citations. Recurring topics across this work include Robotics and Sensor-Based Localization (30 papers), Advanced Vision and Imaging (22 papers), 3D Surveying and Cultural Heritage (21 papers), Remote Sensing and LiDAR Applications (8 papers), Optical measurement and interference techniques (8 papers), Advanced X-ray and CT Imaging (5 papers), Nuclear Physics and Applications (5 papers) and Image and Object Detection Techniques (5 papers). The work is most often cited by research in Geology (283 citations), Computer Vision and Pattern Recognition (311 citations), Computer Graphics and Computer-Aided Design (49 citations), Aerospace Engineering (339 citations) and Instrumentation (44 citations). V. Sequeira has collaborated with scholars based in Italy, Portugal and Belgium. Frequent co-authors include J.G.M. Gonçalves, David Hogg, Isabel Ribeiro, Paulo Dias, F. Vaz, Konrad Klein, Jian Yao, Kia Ng, G. Seufert and Maurizio Teobaldelli. Their work appears in journals such as Robotics and Autonomous Systems, Machine Vision and Applications, ISPRS Journal of Photogrammetry and Remote Sensing, Engineering Applications of Artificial Intelligence and IEEE Transactions on Robotics.

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