Sjoerd de Jong
- Artificial Intelligence top 10%
- Computer Vision and Pattern Recognition top 10%
- Information Systems
- Management Science and Operations Research
- Electrical and Electronic Engineering
- Topics
- Robotics and Sensor-Based Localization (2 papers)3D Surveying and Cultural Heritage (1 paper)Probabilistic and Robust Engineering Design (1 paper)
- Cited by
- Artificial IntelligenceComputer Vision and Pattern RecognitionManagement Science and Operations Research
- Journals
- Microelectronics ReliabilityParticuologyData Archiving and Networked Services (DANS)
- Partner nations
- Netherlands
In The Last Decade
Sjoerd de Jong
5 papers receiving 245 citations
Peers
Comparison fields: 5 of 96
- Artificial Intelligence 120
- Computer Vision and Pattern Recognition 61
- Information Systems 24
- Management Science and Operations Research 20
- Electrical and Electronic Engineering 19
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-authorship network of co-authors of Sjoerd de Jong
This figure shows the co-authorship network connecting the top 25 collaborators of Sjoerd de Jong. A scholar is included among the top collaborators of Sjoerd de Jong based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Sjoerd de Jong. Sjoerd de Jong is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 14 | |
| 3 | Proceedings of the 2009 International Conference on Artificial Intelligence | 232 |
| 4 | Comparing the EKF and FastSLAM solutions to the problem of monocular Simultaneous Localization and Mapping. | 2 |
| 5 | Expectancy-based robot navigation through context evaluation | 2 |
About Sjoerd de Jong
Sjoerd de Jong is a scholar working on Geology, Statistics, Probability and Uncertainty and Management, Monitoring, Policy and Law, having authored 5 papers that have together received 253 indexed citations. Recurring topics across this work include Robotics and Sensor-Based Localization (2 papers), 3D Surveying and Cultural Heritage (1 paper) and Probabilistic and Robust Engineering Design (1 paper). The work is most often cited by research in Artificial Intelligence (120 citations), Computer Vision and Pattern Recognition (61 citations) and Management Science and Operations Research (20 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.