Marcella Astrid
Impact in
- Computational Mathematics top 5%
- Tensor decomposition and applications
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- Advanced Neural Network Applications
- Digital Media Forensic Detection
- Generative Adversarial Networks and Image Synthesis
- Video Surveillance and Tracking Methods
Papers in
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- Advanced Neural Network Applications 8
- Digital Media Forensic Detection 4
- Video Surveillance and Tracking Methods 4
- Generative Adversarial Networks and Image Synthesis 3
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- Anomaly Detection Techniques and Applications 7
- Domain Adaptation and Few-Shot Learning 3
- Co-authors
- Seung‐Ik Lee (16 shared papers)Muhammad Zaigham Zaheer (10 shared papers)Arif Mahmood (3 shared papers)Jin Ha Lee (4 shared papers)Djamila Aouada (5 shared papers)Enjie Ghorbel (4 shared papers)Beom-Su Seo (2 shared papers)Anis Kacem (1 shared paper)
- Journals
- ETRI Journal (2 papers)IEEE Transactions on Neural Networks and Learning Systems (1 paper)Neural Computing and Applications (1 paper)IEEE Transactions on Image Processing (1 paper)Neurocomputing (1 paper)
- Partner nations
- South KoreaLuxembourgUnited Arab Emirates
In The Last Decade
Marcella Astrid
21 papers receiving 226 citations
Peers
Comparison fields: 5 of 42
- Computational Mathematics 42
- Computer Vision and Pattern Recognition 119
- Artificial Intelligence 136
- Computer Networks and Communications 55
- Signal Processing 19
Countries citing papers authored by Marcella Astrid
This map shows the geographic impact of Marcella Astrid'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 Marcella Astrid with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Marcella Astrid more than expected).
Fields of papers citing papers by Marcella Astrid
This network shows the impact of papers produced by Marcella Astrid. 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 Marcella Astrid. The network helps show where Marcella Astrid may publish in the future.
Co-authors
The 13 scholars most cited alongside Marcella Astrid, 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 23 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 54 | |
| 2 | 2020 | 32 | |
| 3 | 2023 | 27 | |
| 4 | 2024 | 23 | |
| 5 | 2021 | 16 | |
| 6 | 2023 | 16 | |
| 7 | 2018 | 13 | |
| 8 | 2022 | 12 | |
| 9 | 2018 | 7 | |
| 10 | 2018 | 5 | |
| 11 | 2018 | 5 | |
| 12 | 2015 | 4 | |
| 13 | 2022 | 4 | |
| 14 | 2024 | 3 | |
| 15 | 2020 | 3 | |
| 16 | 2025 | 2 | |
| 17 | 2023 | 1 | |
| 18 | 2024 | 1 | |
| 19 | 2016 | 1 | |
| 20 | 2020 | 1 |
About Marcella Astrid
Marcella Astrid is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Computer Networks and Communications, Biomedical Engineering and Automotive Engineering, having authored 23 papers that have together received 232 indexed citations. Recurring topics across this work include Advanced Neural Network Applications (8 papers), Anomaly Detection Techniques and Applications (7 papers), Digital Media Forensic Detection (4 papers), Network Security and Intrusion Detection (4 papers), Video Surveillance and Tracking Methods (4 papers), Generative Adversarial Networks and Image Synthesis (3 papers), Domain Adaptation and Few-Shot Learning (3 papers) and Artificial Immune Systems Applications (3 papers). The work is most often cited by research in Computational Mathematics (42 citations), Computer Vision and Pattern Recognition (119 citations), Artificial Intelligence (136 citations), Computer Networks and Communications (55 citations) and Signal Processing (19 citations). Marcella Astrid has collaborated with scholars based in South Korea, Luxembourg and United Arab Emirates. Frequent co-authors include Seung‐Ik Lee, Muhammad Zaigham Zaheer, Arif Mahmood, Jin Ha Lee, Djamila Aouada, Enjie Ghorbel, Beom-Su Seo, Anis Kacem, Inder Pal Singh and Dat Nguyen. Their work appears in journals such as ETRI Journal, IEEE Transactions on Neural Networks and Learning Systems, Neural Computing and Applications, IEEE Transactions on Image Processing and Neurocomputing.
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.