A. Eduardo Dias
- Computer Vision and Pattern Recognition
- Sociology and Political Science
- Human-Computer Interaction top 10%
- Developmental and Educational Psychology
- Computer Networks and Communications
- Co-authors
- Teresa RomãoNuno CorreiaL.C. AlvesLuís RomeroAntónio CâmaraJoão Pedro SilvaJoaquim JorgeJosé C. Cunha
- Topics
- Multimedia Communication and Technology (8 papers)Video Analysis and Summarization (5 papers)Context-Aware Activity Recognition Systems (4 papers)
- Cited by
- Human-Computer InteractionComputer Vision and Pattern RecognitionInformation Systems and Management
- Journals
- Data Archiving and Networked Services (DANS)
- Partner nations
- Portugal
In The Last Decade
A. Eduardo Dias
14 papers receiving 97 citations
Peers
Comparison fields: 5 of 39
- Computer Vision and Pattern Recognition 50
- Sociology and Political Science 38
- Human-Computer Interaction 38
- Developmental and Educational Psychology 13
- Computer Networks and Communications 13
Countries citing papers authored by A. Eduardo Dias
This map shows the geographic impact of A. Eduardo 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 A. Eduardo Dias with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites A. Eduardo Dias more than expected).
Fields of papers citing papers by A. Eduardo Dias
This network shows the impact of papers produced by A. Eduardo 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 A. Eduardo Dias. The network helps show where A. Eduardo Dias may publish in the future.
Co-authorship network of co-authors of A. Eduardo Dias
This figure shows the co-authorship network connecting the top 25 collaborators of A. Eduardo Dias. A scholar is included among the top collaborators of A. Eduardo Dias based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with A. Eduardo Dias. A. Eduardo Dias is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 4 | |
| 3 | 1 | |
| 4 | 4 | |
| 5 | 7 | |
| 6 | 11 | |
| 7 | 8 | |
| 8 | 8 | |
| 9 | 24 | |
| 10 | 3 | |
| 11 | 0 | |
| 12 | 21 | |
| 13 | Decision support tools for coastal zone management: providing decision makers with useful information through multidimensional visualisation techniques | 2 |
| 14 | Bringing ubiquitous computing into geo-referenced information systems | 1 |
| 15 | 1 | |
| 16 | 6 |
About A. Eduardo Dias
A. Eduardo Dias is a scholar working on Human-Computer Interaction, Computer Vision and Pattern Recognition and Applied Psychology, having authored 16 papers that have together received 101 indexed citations. Recurring topics across this work include Multimedia Communication and Technology (8 papers), Video Analysis and Summarization (5 papers) and Context-Aware Activity Recognition Systems (4 papers). The work is most often cited by research in Human-Computer Interaction (38 citations), Computer Vision and Pattern Recognition (50 citations) and Information Systems and Management (8 citations). A. Eduardo Dias has collaborated with scholars based in Portugal. Frequent co-authors include Teresa Romão, Nuno Correia, L.C. Alves, Luís Romero, António Câmara, João Pedro Silva, Joaquim Jorge, José C. Cunha, Rui Neves Madeira and Joost Buurman. Their work appears in journals such as Data Archiving and Networked Services (DANS).
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.