Erman Tjiputra
Impact in
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- Multimodal Machine Learning Applications
- Advanced Image and Video Retrieval Techniques
- Human Pose and Action Recognition
- Advanced Neural Network Applications
- Face and Expression Recognition
- Artificial Intelligence top 10%
- Privacy-Preserving Technologies in Data
- Domain Adaptation and Few-Shot Learning
Papers in
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- Advanced Image and Video Retrieval Techniques 3
- Face and Expression Recognition 2
- Face recognition and analysis 2
- Multimodal Machine Learning Applications 2
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- Privacy-Preserving Technologies in Data 3
- Domain Adaptation and Few-Shot Learning 2
- Co-authors
- Quang D. Tran (12 shared papers)Tuong Do (11 shared papers)Anh Nguyen (7 shared papers)Huy Dat Tran (2 shared papers)Thanh-Toan Do (2 shared papers)Bac Le (1 shared paper)Huy Q. Tran (1 shared paper)Gustavo Carneiro (1 shared paper)
- Journals
- IEEE Transactions on Medical Imaging (1 paper)ACM Transactions on Graphics (1 paper)2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW) (1 paper)2023 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV) (1 paper)2022 IEEE Intelligent Vehicles Symposium (IV) (1 paper)
- Partner nations
- United KingdomVietnamTaiwan
In The Last Decade
Erman Tjiputra
11 papers receiving 221 citations
Peers
Comparison fields: 5 of 43
- Computer Vision and Pattern Recognition 127
- Artificial Intelligence 130
- Computational Mathematics 2
- Health Informatics 3
- Experimental and Cognitive Psychology 20
Countries citing papers authored by Erman Tjiputra
This map shows the geographic impact of Erman Tjiputra'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 Erman Tjiputra with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Erman Tjiputra more than expected).
Fields of papers citing papers by Erman Tjiputra
This network shows the impact of papers produced by Erman Tjiputra. 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 Erman Tjiputra. The network helps show where Erman Tjiputra may publish in the future.
Co-authors
The 19 scholars most cited alongside Erman Tjiputra, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2022 | 75 | |
| 2 | 2019 | 38 | |
| 3 | 2023 | 36 | |
| 4 | 2022 | 34 | |
| 5 | 2022 | 17 | |
| 6 | 2023 | 11 | |
| 7 | 2023 | 4 | |
| 8 | 2023 | 3 | |
| 9 | 2024 | 3 | |
| 10 | 2020 | 3 | |
| 11 | 2024 | 1 | |
| 12 | 2024 | 0 | |
| 13 | 2025 | 0 |
About Erman Tjiputra
Erman Tjiputra is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Control and Systems Engineering, Signal Processing and Automotive Engineering, having authored 13 papers that have together received 225 indexed citations. Recurring topics across this work include Privacy-Preserving Technologies in Data (3 papers), Advanced Image and Video Retrieval Techniques (3 papers), Human Motion and Animation (3 papers), Face and Expression Recognition (2 papers), Face recognition and analysis (2 papers), Multimodal Machine Learning Applications (2 papers), Music and Audio Processing (2 papers) and Domain Adaptation and Few-Shot Learning (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (127 citations), Artificial Intelligence (130 citations), Computational Mathematics (2 citations), Health Informatics (3 citations) and Experimental and Cognitive Psychology (20 citations). Erman Tjiputra has collaborated with scholars based in United Kingdom, Vietnam and Taiwan. Frequent co-authors include Quang D. Tran, Tuong Do, Anh Nguyen, Huy Dat Tran, Thanh-Toan Do, Bac Le, Huy Q. Tran, Gustavo Carneiro, Huy Tran and Vuong T. Pham. Their work appears in journals such as IEEE Transactions on Medical Imaging, ACM Transactions on Graphics, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), 2023 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV) and 2022 IEEE Intelligent Vehicles Symposium (IV).
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.