Jack Sim
Impact in
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- Advanced Image and Video Retrieval Techniques
- Video Surveillance and Tracking Methods
- Image Retrieval and Classification Techniques
- Multimodal Machine Learning Applications
- Advanced Neural Network Applications
- Human Pose and Action Recognition
- Aerospace Engineering top 5%
- Robotics and Sensor-Based Localization
Papers in
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- Advanced Image and Video Retrieval Techniques 8
- Multimodal Machine Learning Applications 5
- Image Retrieval and Classification Techniques 4
- Video Surveillance and Tracking Methods 3
- Advanced Neural Network Applications 2
- Image Enhancement Techniques 1
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- Domain Adaptation and Few-Shot Learning 2
- Adversarial Robustness in Machine Learning 1
- Co-authors
- André Araujo (5 shared papers)Bingyi Cao (3 shared papers)Tobias Weyand (3 shared papers)Bohyung Han (5 shared papers)Hartwig Adam (2 shared papers)Marvin Teichmann (1 shared paper)Menglong Zhu (1 shared paper)Haifeng Gong (1 shared paper)
- Journals
- Lecture notes in computer science (2 papers)Journal of Electronic Commerce in Organizations (1 paper)ScholarlyCommons (University of Pennsylvania) (1 paper)arXiv (Cornell University) (1 paper)Cambridge University Engineering Department Publications Database (1 paper)
- Partner nations
- United StatesSouth KoreaUnited Kingdom
In The Last Decade
Jack Sim
14 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 106
- Computer Vision and Pattern Recognition 803
- Aerospace Engineering 216
- Artificial Intelligence 235
- Media Technology 53
- Signal Processing 48
Countries citing papers authored by Jack Sim
This map shows the geographic impact of Jack Sim'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 Jack Sim with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jack Sim more than expected).
Fields of papers citing papers by Jack Sim
This network shows the impact of papers produced by Jack Sim. 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 Jack Sim. The network helps show where Jack Sim may publish in the future.
Co-authors
The 19 scholars most cited alongside Jack Sim, 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 | 2020 | 238 | |
| 2 | 2019 | 214 | |
| 3 | 2020 | 196 | |
| 4 | 2017 | 114 | |
| 5 | 2019 | 88 | |
| 6 | 2021 | 79 | |
| 7 | 2011 | 69 | |
| 8 | 2018 | 40 | |
| 9 | 2011 | 35 | |
| 10 | Image Retrieval with Deep Local Features and Attention-based Keypoints. | 2016 | 7 |
| 11 | Unifying Deep Local and Global Features for Efficient Image Search. | 2020 | 5 |
| 12 | 2019 | 3 | |
| 13 | 2010 | 1 | |
| 14 | BranchOut: Regularization for Online Ensemble Tracking with CNNs | 2017 | 1 |
About Jack Sim
Jack Sim is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Information Systems, Business and International Management and Signal Processing, having authored 14 papers that have together received 1.1k indexed citations. Recurring topics across this work include Advanced Image and Video Retrieval Techniques (8 papers), Multimodal Machine Learning Applications (5 papers), Image Retrieval and Classification Techniques (4 papers), Video Surveillance and Tracking Methods (3 papers), Domain Adaptation and Few-Shot Learning (2 papers), Advanced Neural Network Applications (2 papers), Image Enhancement Techniques (1 paper) and Adversarial Robustness in Machine Learning (1 paper). The work is most often cited by research in Computer Vision and Pattern Recognition (803 citations), Aerospace Engineering (216 citations), Artificial Intelligence (235 citations), Media Technology (53 citations) and Signal Processing (48 citations). Jack Sim has collaborated with scholars based in United States, South Korea and United Kingdom. Frequent co-authors include André Araujo, Bingyi Cao, Tobias Weyand, Bohyung Han, Hartwig Adam, Marvin Teichmann, Menglong Zhu, Haifeng Gong, Maxim Likhachev and Jianbo Shi. Their work appears in journals such as Lecture notes in computer science, Journal of Electronic Commerce in Organizations, ScholarlyCommons (University of Pennsylvania), arXiv (Cornell University) and Cambridge University Engineering Department Publications Database.
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.