Christian Lundquist
- Artificial Intelligence top 1%
- Aerospace Engineering top 2%
- Electrical and Electronic Engineering
- Control and Systems Engineering top 5%
- Computer Vision and Pattern Recognition top 5%
- Co-authors
- Umut OrgunerKarl GranströmFredrik GustafssonThomas B. SchönEmre ÖzkanLars HammarstrandVáclav ŠmídlSaikat Saha
- Topics
- Target Tracking and Data Fusion in Sensor Networks (21 papers)Control Systems and Identification (8 papers)Gaussian Processes and Bayesian Inference (6 papers)
In The Last Decade
Christian Lundquist
34 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 60
- Artificial Intelligence 937
- Aerospace Engineering 531
- Electrical and Electronic Engineering 236
- Control and Systems Engineering 182
- Computer Vision and Pattern Recognition 165
Countries citing papers authored by Christian Lundquist
This map shows the geographic impact of Christian Lundquist'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 Christian Lundquist with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Christian Lundquist more than expected).
Fields of papers citing papers by Christian Lundquist
This network shows the impact of papers produced by Christian Lundquist. 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 Christian Lundquist. The network helps show where Christian Lundquist may publish in the future.
Co-authorship network of co-authors of Christian Lundquist
This figure shows the co-authorship network connecting the top 25 collaborators of Christian Lundquist. A scholar is included among the top collaborators of Christian Lundquist 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 Christian Lundquist. Christian Lundquist is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 11 | |
| 2 | Statistical Sensor Fusion: Exercises | 2 |
| 3 | On the use of multiple measurement models for extended target tracking | 24 |
| 4 | 26 | |
| 5 | On mixture reduction for multiple target tracking | 10 |
| 6 | How Peer-Review Affect Student Learning | 0 |
| 7 | 217 | |
| 8 | Extended target tracking with a cardinalized probability hypothesis density filter | 74 |
| 9 | Tracking rectangular and elliptical extended targets using laser measurements | 98 |
| 10 | Estimating the shape of targets with a PHD filter | 40 |
| 11 | Sensor fusion for automotive applications | 38 |
| 12 | 8 | |
| 13 | 60 | |
| 14 | SEFS–Results on Sensor Data Fusion System Development | 2 |
| 15 | 18 | |
| 16 | 23 | |
| 17 | 31 | |
| 18 | 5 | |
| 19 | 4 | |
| 20 | 8 |
About Christian Lundquist
Christian Lundquist is a scholar working on Architecture, Artificial Intelligence and Automotive Engineering, having authored 36 papers that have together received 1.3k indexed citations. Recurring topics across this work include Target Tracking and Data Fusion in Sensor Networks (21 papers), Control Systems and Identification (8 papers) and Gaussian Processes and Bayesian Inference (6 papers). The work is most often cited by research in Artificial Intelligence (937 citations), Aerospace Engineering (531 citations) and Automotive Engineering (156 citations). Christian Lundquist has collaborated with scholars based in Sweden, Germany and Türkiye. Frequent co-authors include Umut Orguner, Karl Granström, Fredrik Gustafsson, Thomas B. Schön, Emre Özkan, Lars Hammarstrand, Václav Šmídl, Saikat Saha, Wolfgang Reinelt and Rickard Karlsson. Their work appears in journals such as Automatica, IEEE Transactions on Signal Processing and IEEE Transactions on Intelligent Transportation Systems.
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.