Paulo Dias
Impact in
- Human-Computer Interaction top 0.5%
- Virtual Reality Applications and Impacts
- Interactive and Immersive Displays
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- Augmented Reality Applications
- Advanced Vision and Imaging
Papers in
-
- Augmented Reality Applications 62
- Advanced Vision and Imaging 17
- Data Visualization and Analytics 13
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- Virtual Reality Applications and Impacts 58
- Interactive and Immersive Displays 33
- Co-authors
- Beatriz Sousa Santos (89 shared papers)Bernardo Marques (53 shared papers)Samuel Silva (31 shared papers)João Alves (17 shared papers)Carlos Ferreira (22 shared papers)Joaquim Madeira (9 shared papers)Tiago Araújo (10 shared papers)Vítor Santos (10 shared papers)
In The Last Decade
Paulo Dias
132 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 131
- Human-Computer Interaction 645
- Computer Vision and Pattern Recognition 774
- Geology 120
- Rehabilitation 137
- Industrial and Manufacturing Engineering 87
Countries citing papers authored by Paulo Dias
This map shows the geographic impact of Paulo 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 Paulo Dias with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Paulo Dias more than expected).
Fields of papers citing papers by Paulo Dias
This network shows the impact of papers produced by Paulo 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 Paulo Dias. The network helps show where Paulo Dias may publish in the future.
Co-authors
The 25 scholars most cited alongside Paulo Dias, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 143 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2008 | 179 | |
| 2 | 2019 | 80 | |
| 3 | 2021 | 70 | |
| 4 | 2016 | 55 | |
| 5 | 2021 | 55 | |
| 6 | 2019 | 44 | |
| 7 | 2022 | 44 | |
| 8 | 2021 | 40 | |
| 9 | 2021 | 36 | |
| 10 | 2013 | 34 | |
| 11 | 2004 | 34 | |
| 12 | 2020 | 29 | |
| 13 | 2006 | 29 | |
| 14 | 2022 | 29 | |
| 15 | 2021 | 28 | |
| 16 | On the Improvement of Localization Accuracy with Non-Individualized HRTF-Based Sounds | 2012 | 26 |
| 17 | 2021 | 25 | |
| 18 | 2002 | 23 | |
| 19 | 2021 | 22 | |
| 20 | 2020 | 19 |
About Paulo Dias
Paulo Dias is a scholar working on Computer Vision and Pattern Recognition, Human-Computer Interaction, Aerospace Engineering, Signal Processing and Automotive Engineering, having authored 143 papers that have together received 1.5k indexed citations. Recurring topics across this work include Augmented Reality Applications (62 papers), Virtual Reality Applications and Impacts (58 papers), Interactive and Immersive Displays (33 papers), Advanced Vision and Imaging (17 papers), Robotics and Sensor-Based Localization (16 papers), Data Visualization and Analytics (13 papers), 3D Surveying and Cultural Heritage (11 papers) and Spatial Cognition and Navigation (9 papers). The work is most often cited by research in Human-Computer Interaction (645 citations), Computer Vision and Pattern Recognition (774 citations), Geology (120 citations), Rehabilitation (137 citations) and Industrial and Manufacturing Engineering (87 citations). Paulo Dias has collaborated with scholars based in Portugal, Brazil and Spain. Frequent co-authors include Beatriz Sousa Santos, Bernardo Marques, Samuel Silva, João Alves, Carlos Ferreira, Joaquim Madeira, Tiago Araújo, Vítor Santos, Paula Amorim and Miguel Oliveira. Their work appears in journals such as IEEE Computer Graphics and Applications, Sensors, Computers & Graphics, Robotics and Autonomous Systems and Virtual Reality.
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.