Daniel Moraes
Impact in
- Media Technology top 5%
- Experimental Learning in Engineering
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- Video Analysis and Summarization
- Human Pose and Action Recognition
- Video Surveillance and Tracking Methods
- Digital Media Forensic Detection
Papers in
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- Remote-Sensing Image Classification 7
- Ecology 11
- Remote Sensing in Agriculture 11
- Co-authors
- Anderson De Rezende Rocha (7 shared papers)Siome Klein Goldenstein (6 shared papers)Daniel Moreira (6 shared papers)Sandra Avila (6 shared papers)Mauricio Pérez (6 shared papers)Eduardo Alves do Valle Junior (6 shared papers)Vanessa Testoni (6 shared papers)Eleri Cardozo (6 shared papers)
In The Last Decade
Daniel Moraes
26 papers receiving 391 citations
Peers
Comparison fields: 5 of 69
- Media Technology 77
- Computer Vision and Pattern Recognition 175
- Signal Processing 53
- Architecture 7
- Artificial Intelligence 92
Countries citing papers authored by Daniel Moraes
This map shows the geographic impact of Daniel Moraes'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 Moraes with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Moraes more than expected).
Fields of papers citing papers by Daniel Moraes
This network shows the impact of papers produced by Daniel Moraes. 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 Moraes. The network helps show where Daniel Moraes may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniel Moraes, 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 26 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 106 | |
| 2 | 2010 | 61 | |
| 3 | 2016 | 58 | |
| 4 | 2022 | 33 | |
| 5 | 2017 | 19 | |
| 6 | 2018 | 18 | |
| 7 | 2024 | 16 | |
| 8 | 2021 | 12 | |
| 9 | 2016 | 11 | |
| 10 | RECOD at MediaEval 2014: Violent Scenes Detection Task. | 2014 | 9 |
| 11 | 2024 | 6 | |
| 12 | 2008 | 6 | |
| 13 | 2008 | 6 | |
| 14 | 2009 | 6 | |
| 15 | 2023 | 5 | |
| 16 | 2021 | 4 | |
| 17 | 2021 | 4 | |
| 18 | 2025 | 3 | |
| 19 | 2021 | 3 | |
| 20 | RECOD at MediaEval 2015: Affective Impact of Movies Task | 2015 | 3 |
About Daniel Moraes
Daniel Moraes is a scholar working on Media Technology, Ecology, Computer Vision and Pattern Recognition, Computer Networks and Communications and Environmental Engineering, having authored 26 papers that have together received 399 indexed citations. Recurring topics across this work include Remote Sensing in Agriculture (11 papers), Remote-Sensing Image Classification (7 papers), Land Use and Ecosystem Services (5 papers), Video Analysis and Summarization (4 papers), Anomaly Detection Techniques and Applications (4 papers), IPv6, Mobility, Handover, Networks, Security (4 papers), Human Pose and Action Recognition (4 papers) and Wireless Networks and Protocols (3 papers). The work is most often cited by research in Media Technology (77 citations), Computer Vision and Pattern Recognition (175 citations), Signal Processing (53 citations), Architecture (7 citations) and Artificial Intelligence (92 citations). Daniel Moraes has collaborated with scholars based in Brazil, Portugal and Sweden. Frequent co-authors include Anderson De Rezende Rocha, Siome Klein Goldenstein, Daniel Moreira, Sandra Avila, Mauricio Pérez, Eduardo Alves do Valle Junior, Vanessa Testoni, Eleri Cardozo, Mario R. Caetano and Pedro José Benevides. Their work appears in journals such as Remote Sensing, Journal of Fungi, IEEE Transactions on Learning Technologies, Neurocomputing and Information Fusion.
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.