Jorge Dias

7.0k citations
312 papers · 4.8k indexed · 1 hit paper · h-index 33

Impact in

Papers in

Jorge Dias

291 papers receiving 4.6k citations

Hit Papers

A Survey of Small-Scale Unmanned Aerial Vehicles: Recent Advances and Future Development Trends 2014 · 280 citations
280201420262018202250100150200250

Peers

Jorge Dias
Comparison fields: 5 of 165
  • Computer Vision and Pattern Recognition 1.9k
  • Control and Systems Engineering 1.4k
  • Aerospace Engineering 1.5k
  • Human-Computer Interaction 298
  • Geology 191
Replace Hajime Asama with:
Hajime Asama Japan
Sven Behnke Germany
Carme Torras Spain
Gregory Dudek Canada
Markus Vincze Austria
Alexandre Bernardino Portugal
Dirk Hähnel Germany
Jason Gu Canada
Huaping Liu China
Seth Teller United States
Jorge Dias relative to Hajime Asama Japan Hajime Asama's profile →
Citations per field
00.5×1.5×
Hajime Asama · 1×
Citations per year

Countries citing papers authored by Jorge Dias

Since Specialization
Citations

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

Fields of papers citing papers by Jorge Dias

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Jorge Dias, 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 Jorge Dias Line = papers co-authored together Jorge Dias links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
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O problema da reconstitução das casas redondas castrejas
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Using concurrent Hidden Markov Models to analyse human behaviours in a smart home environment
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20 20072

About Jorge Dias

Jorge Dias is a scholar working on Computer Vision and Pattern Recognition, Human-Computer Interaction, Aerospace Engineering, Control and Systems Engineering and Geology, having authored 312 papers that have together received 4.8k indexed citations. Recurring topics across this work include Robotics and Sensor-Based Localization (81 papers), Advanced Vision and Imaging (57 papers), Robotic Path Planning Algorithms (29 papers), Video Surveillance and Tracking Methods (24 papers), Hand Gesture Recognition Systems (23 papers), Optical measurement and interference techniques (22 papers), Robot Manipulation and Learning (21 papers) and Human Pose and Action Recognition (20 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (1.9k citations), Control and Systems Engineering (1.4k citations), Aerospace Engineering (1.5k citations), Human-Computer Interaction (298 citations) and Geology (191 citations). Jorge Dias has collaborated with scholars based in Portugal, United Arab Emirates and United Kingdom. Frequent co-authors include Lakmal Seneviratne, Jorge Lobo, Guowei Cai, Dongming Gan, Paulo Menezes, Federico Renda, João Filipe Ferreira, Peter Corke, Jian S. Dai and Frédéric Boyer. Their work appears in journals such as IEEE Access, Journal of Mechanisms and Robotics, Robotics and Autonomous Systems, Neurocomputing and The International Journal of Robotics Research.

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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