Rikard Laxhammar
- Artificial Intelligence top 5%
- Ocean Engineering top 5%
- Signal Processing top 5%
- Computer Networks and Communications top 10%
- Computer Vision and Pattern Recognition top 10%
- Topics
- Anomaly Detection Techniques and Applications (11 papers)Artificial Immune Systems Applications (5 papers)Data-Driven Disease Surveillance (4 papers)
- Journals
- IEEE Transactions on Pattern Analysis and Machine IntelligenceAnnals of Mathematics and Artificial IntelligenceInternational Conference on Information Fusion
- Partner nations
- SwedenSwitzerland
In The Last Decade
Rikard Laxhammar
11 papers receiving 452 citations
Peers
Comparison fields: 5 of 60
- Artificial Intelligence 356
- Ocean Engineering 177
- Signal Processing 127
- Computer Networks and Communications 116
- Computer Vision and Pattern Recognition 71
Countries citing papers authored by Rikard Laxhammar
This map shows the geographic impact of Rikard Laxhammar'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 Rikard Laxhammar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Rikard Laxhammar more than expected).
Fields of papers citing papers by Rikard Laxhammar
This network shows the impact of papers produced by Rikard Laxhammar. 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 Rikard Laxhammar. The network helps show where Rikard Laxhammar may publish in the future.
Co-authorship network of co-authors of Rikard Laxhammar
This figure shows the co-authorship network connecting the top 25 collaborators of Rikard Laxhammar. A scholar is included among the top collaborators of Rikard Laxhammar 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 Rikard Laxhammar. Rikard Laxhammar is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | Conformal anomaly detection : Detecting abnormal trajectories in surveillance applications | 15 |
| 2 | 140 | |
| 3 | 43 | |
| 4 | A Joint Statistical and Symbolic Anomaly Detection System: Increasing performance in maritime surveillance | 7 |
| 5 | Sequential Conformal Anomaly Detection in trajectories based on Hausdorff distance | 38 |
| 6 | Anomaly Detection in Trajectory Data for Surveillance Applications | 13 |
| 7 | 32 | |
| 8 | An ensemble approach for increased anomaly detection performance in video surveillance data | 8 |
| 9 | Anomaly detection in sea traffic - A comparison of the Gaussian Mixture Model and the Kernel Density Estimator | 106 |
| 10 | Anomaly detection for sea surveillance | 86 |
| 11 | 5 |
About Rikard Laxhammar
Rikard Laxhammar is a scholar working on Artificial Intelligence, Signal Processing and Computer Networks and Communications, having authored 11 papers that have together received 493 indexed citations. Recurring topics across this work include Anomaly Detection Techniques and Applications (11 papers), Artificial Immune Systems Applications (5 papers) and Data-Driven Disease Surveillance (4 papers). The work is most often cited by research in Signal Processing (127 citations), Ocean Engineering (177 citations) and Artificial Intelligence (356 citations). Rikard Laxhammar has collaborated with scholars based in Sweden and Switzerland. Frequent co-authors include Göran Falkman, Lars Niklasson, Anders Holst, Jan Ekman and Mats Björkman. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Annals of Mathematics and Artificial Intelligence and International Conference on Information Fusion.
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.