Patric Ljung
- Computer Vision and Pattern Recognition top 1%
- Computer Graphics and Computer-Aided Design top 0.5%
- Computational Mechanics top 5%
- Artificial Intelligence top 10%
- Radiology, Nuclear Medicine and Imaging top 10%
- Co-authors
- Anders YnnermanClaes LundströmJimmy JohanssonMax CooperAnders PerssonMikael JernMarkus HadwigerTimo Ropinski
- Topics
- Computer Graphics and Visualization Techniques (31 papers)3D Shape Modeling and Analysis (15 papers)Advanced Vision and Imaging (14 papers)
- Cited by
- Computer Graphics and Computer-Aided DesignComputer Vision and Pattern RecognitionComputational Mechanics
- Partner nations
- SwedenUnited StatesGermany
In The Last Decade
Patric Ljung
47 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 103
- Computer Vision and Pattern Recognition 884
- Computer Graphics and Computer-Aided Design 627
- Computational Mechanics 259
- Artificial Intelligence 148
- Radiology, Nuclear Medicine and Imaging 147
Countries citing papers authored by Patric Ljung
This map shows the geographic impact of Patric Ljung'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 Patric Ljung with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Patric Ljung more than expected).
Fields of papers citing papers by Patric Ljung
This network shows the impact of papers produced by Patric Ljung. 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 Patric Ljung. The network helps show where Patric Ljung may publish in the future.
Co-authorship network of co-authors of Patric Ljung
This figure shows the co-authorship network connecting the top 25 collaborators of Patric Ljung. A scholar is included among the top collaborators of Patric Ljung 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 Patric Ljung. Patric Ljung is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 43 | |
| 3 | 34 | |
| 4 | 12 | |
| 5 | 11 | |
| 6 | 56 | |
| 7 | 28 | |
| 8 | 11 | |
| 9 | Scene graph-based construction of CUDA kernel pipelines for XIP | 3 |
| 10 | Interactive Poster: Interactive Visualization approaches to the Analysis of System Identification Data | 1 |
| 11 | 103 | |
| 12 | 12 | |
| 13 | 60 | |
| 14 | 91 | |
| 15 | 42 | |
| 16 | 34 | |
| 17 | 17 | |
| 18 | 35 | |
| 19 | Computational Studies of Cosmic Ray Electron Injection | 1 |
| 20 | 9 |
About Patric Ljung
Patric Ljung is a scholar working on Computer Graphics and Computer-Aided Design, Computer Vision and Pattern Recognition and Computational Mechanics, having authored 47 papers that have together received 1.2k indexed citations. Recurring topics across this work include Computer Graphics and Visualization Techniques (31 papers), 3D Shape Modeling and Analysis (15 papers) and Advanced Vision and Imaging (14 papers). The work is most often cited by research in Computer Graphics and Computer-Aided Design (627 citations), Computer Vision and Pattern Recognition (884 citations) and Computational Mechanics (259 citations). Patric Ljung has collaborated with scholars based in Sweden, United States and Germany. Frequent co-authors include Anders Ynnerman, Claes Lundström, Jimmy Johansson, Max Cooper, Anders Persson, Mikael Jern, Markus Hadwiger, Timo Ropinski, M. E. Dieckmann and K. G. McClements. Their work appears in journals such as Communications of the ACM, IEEE Signal Processing Magazine and Physics of Plasmas.
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.