Sjoerd de Jong
Impact in
- Artificial Intelligence top 10%
- Imbalanced Data Classification Techniques
- Text and Document Classification Technologies
- Topic Modeling
- Metaheuristic Optimization Algorithms Research
- Advanced Graph Neural Networks
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- Advanced Image and Video Retrieval Techniques
- Face and Expression Recognition
Papers in
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- Robotics and Sensor-Based Localization 2
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- Indoor and Outdoor Localization Technologies 1
- Electrostatic Discharge in Electronics 1
- Co-authors
- Maria E. Niessen (2 shared papers)Tjeerd Andringa (2 shared papers)Vanessa Magnanimo (1 shared paper)Ahmed Jarray (1 shared paper)Gert Kootstra (2 shared papers)W.D. van Driel (1 shared paper)
- Journals
- Microelectronics Reliability (1 paper)Particuology (1 paper)Data Archiving and Networked Services (DANS) (1 paper)
- Partner nations
- Netherlands
In The Last Decade
Sjoerd de Jong
5 papers receiving 249 citations
Peers
Comparison fields: 5 of 93
- Artificial Intelligence 120
- Computer Vision and Pattern Recognition 61
- Management Science and Operations Research 20
- Signal Processing 17
- Tourism, Leisure and Hospitality Management 2
Countries citing papers authored by Sjoerd de Jong
This map shows the geographic impact of Sjoerd de Jong'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 Sjoerd de Jong with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sjoerd de Jong more than expected).
Fields of papers citing papers by Sjoerd de Jong
This network shows the impact of papers produced by Sjoerd de Jong. 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 Sjoerd de Jong. The network helps show where Sjoerd de Jong may publish in the future.
Co-authors
The 6 scholars most cited alongside Sjoerd de Jong, 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 | Proceedings of the 2009 International Conference on Artificial Intelligence | 2009 | 235 |
| 2 | 2021 | 15 | |
| 3 | 2025 | 3 | |
| 4 | Comparing the EKF and FastSLAM solutions to the problem of monocular Simultaneous Localization and Mapping. | 2009 | 2 |
| 5 | Expectancy-based robot navigation through context evaluation | 2009 | 2 |
About Sjoerd de Jong
Sjoerd de Jong is a scholar working on Aerospace Engineering, Electrical and Electronic Engineering, Computer Vision and Pattern Recognition, Computational Mechanics and Management, Monitoring, Policy and Law, having authored 5 papers that have together received 257 indexed citations. Recurring topics across this work include Robotics and Sensor-Based Localization (2 papers), Fluid Dynamics and Heat Transfer (1 paper), Landslides and related hazards (1 paper), 3D Surveying and Cultural Heritage (1 paper), Advanced Image and Video Retrieval Techniques (1 paper), Image Retrieval and Classification Techniques (1 paper), Indoor and Outdoor Localization Technologies (1 paper) and Electrostatic Discharge in Electronics (1 paper). The work is most often cited by research in Artificial Intelligence (120 citations), Computer Vision and Pattern Recognition (61 citations), Management Science and Operations Research (20 citations), Signal Processing (17 citations) and Tourism, Leisure and Hospitality Management (2 citations). Sjoerd de Jong has collaborated with scholars based in Netherlands. Frequent co-authors include Maria E. Niessen, Tjeerd Andringa, Vanessa Magnanimo, Ahmed Jarray, Gert Kootstra and W.D. van Driel. Their work appears in journals such as Microelectronics Reliability, Particuology and Data Archiving and Networked Services (DANS).
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.