Daniel Mendes
Impact in
- Human-Computer Interaction top 0.5%
- Virtual Reality Applications and Impacts
- Interactive and Immersive Displays
- Hand Gesture Recognition Systems
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- Augmented Reality Applications
Papers in
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- Virtual Reality Applications and Impacts 28
- Interactive and Immersive Displays 28
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- Augmented Reality Applications 21
- Data Visualization and Analytics 8
- Co-authors
- Joaquim Jorge (27 shared papers)Alfredo Ferreira (21 shared papers)Maurício Sousa (19 shared papers)Daniel Medeiros (13 shared papers)Ariel Caputo (3 shared papers)Andrea Giachetti (3 shared papers)Alberto Raposo (6 shared papers)Rafael Kuffner dos Anjos (6 shared papers)
In The Last Decade
Daniel Mendes
53 papers receiving 769 citations
Peers
Comparison fields: 5 of 74
- Human-Computer Interaction 575
- Computer Vision and Pattern Recognition 410
- Computer Graphics and Computer-Aided Design 48
- Cognitive Neuroscience 198
- Geology 25
Countries citing papers authored by Daniel Mendes
This map shows the geographic impact of Daniel Mendes'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 Daniel Mendes with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Mendes more than expected).
Fields of papers citing papers by Daniel Mendes
This network shows the impact of papers produced by Daniel Mendes. 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 Daniel Mendes. The network helps show where Daniel Mendes may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniel Mendes, 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 59 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 129 | |
| 2 | 2016 | 78 | |
| 3 | 2017 | 75 | |
| 4 | 2014 | 50 | |
| 5 | 2017 | 32 | |
| 6 | 2019 | 30 | |
| 7 | 2018 | 29 | |
| 8 | 2017 | 28 | |
| 9 | 2016 | 27 | |
| 10 | 2017 | 25 | |
| 11 | 2019 | 22 | |
| 12 | 2017 | 20 | |
| 13 | 2022 | 19 | |
| 14 | 2021 | 17 | |
| 15 | 2023 | 16 | |
| 16 | 2016 | 16 | |
| 17 | 2019 | 15 | |
| 18 | 2020 | 13 | |
| 19 | 2020 | 13 | |
| 20 | 2011 | 13 |
About Daniel Mendes
Daniel Mendes is a scholar working on Human-Computer Interaction, Computer Vision and Pattern Recognition, Cognitive Neuroscience, Orthopedics and Sports Medicine and Mechanical Engineering, having authored 59 papers that have together received 789 indexed citations. Recurring topics across this work include Virtual Reality Applications and Impacts (28 papers), Interactive and Immersive Displays (28 papers), Augmented Reality Applications (21 papers), Tactile and Sensory Interactions (16 papers), Data Visualization and Analytics (8 papers), Foot and Ankle Surgery (4 papers), Human Motion and Animation (3 papers) and Educational Games and Gamification (3 papers). The work is most often cited by research in Human-Computer Interaction (575 citations), Computer Vision and Pattern Recognition (410 citations), Computer Graphics and Computer-Aided Design (48 citations), Cognitive Neuroscience (198 citations) and Geology (25 citations). Daniel Mendes has collaborated with scholars based in Portugal, Brazil and Italy. Frequent co-authors include Joaquim Jorge, Alfredo Ferreira, Maurício Sousa, Daniel Medeiros, Ariel Caputo, Andrea Giachetti, Alberto Raposo, Rafael Kuffner dos Anjos, Daniel Simões Lopes and Nuno Matela. Their work appears in journals such as Computers & Graphics, Information Visualization, Computer Graphics Forum, IEEE Transactions on Learning Technologies and EFORT Open Reviews.
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.