Daniel Moreira

560 citations
22 papers · 290 indexed · h-index 10

Impact in

    • Digital Media Forensic Detection
    • Video Analysis and Summarization
    • Generative Adversarial Networks and Image Synthesis
    • Human Pose and Action Recognition
    • Video Surveillance and Tracking Methods
    • Advanced Malware Detection Techniques

Papers in

Daniel Moreira

18 papers receiving 285 citations

Peers

Daniel Moreira
Comparison fields: 5 of 55
  • Computer Vision and Pattern Recognition 211
  • Signal Processing 51
  • Artificial Intelligence 97
  • Clinical Psychology 46
  • Biophysics 11
Replace Feng Cheng with:
Feng Cheng China
Pavel Král Czechia
Lifa Wu China
Ulrich Scherhag Germany
Luca Guarnera Italy
Alexander Haubold United States
Alireza Zareian United States
Haoti Zhong United States
Philip Bontrager United States
Daniel Moreira relative to Feng Cheng China Feng Cheng's profile →
Citations per field
00.5×9.2×
Feng Cheng · 1×
Citations per year

Countries citing papers authored by Daniel Moreira

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Moreira

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201693
2 201650
3 202219
4 201918
5 201817
6 201714
7 202313
8 202112
9 202112
10 202110
11
RECOD at MediaEval 2014: Violent Scenes Detection Task.
20149
12 20237
13 20225
14 20174
15
RECOD at MediaEval 2015: Affective Impact of Movies Task
20153
16 20242
17 20241
18 20241
19 20240
20 20240

About Daniel Moreira

Daniel Moreira is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Genetics, Sociology and Political Science and Information Systems, having authored 22 papers that have together received 290 indexed citations. Recurring topics across this work include Digital Media Forensic Detection (7 papers), Video Analysis and Summarization (6 papers), Human Pose and Action Recognition (4 papers), Forensic and Genetic Research (3 papers), Video Surveillance and Tracking Methods (3 papers), Anomaly Detection Techniques and Applications (3 papers), Cell Image Analysis Techniques (2 papers) and Image Retrieval and Classification Techniques (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (211 citations), Signal Processing (51 citations), Artificial Intelligence (97 citations), Clinical Psychology (46 citations) and Biophysics (11 citations). Daniel Moreira has collaborated with scholars based in Brazil, United States and Italy. Frequent co-authors include Anderson Rocha, Eduardo Valle, Siome Goldenstein, Daniel Moraes, Mauricio Pérez, Sandra Avila, Vanessa Testoni, Walter J. Scheirer, Kevin W. Bowyer and Patrick J. Flynn. Their work appears in journals such as Scientific Reports, Information Fusion, Neurocomputing, IEEE Transactions on Image Processing and IEEE Security & Privacy.

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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