S. Korl
Impact in
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- Error Correcting Code Techniques
- Cooperative Communication and Network Coding
- Signal Processing top 10%
- Blind Source Separation Techniques
Papers in
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- Target Tracking and Data Fusion in Sensor Networks 5
- Bayesian Modeling and Causal Inference 4
- Wireless Signal Modulation Classification 1
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- Error Correcting Code Techniques 5
- Distributed Sensor Networks and Detection Algorithms 3
- Co-authors
- Hans‐Andrea Loeliger (8 shared papers)Justin Dauwels (6 shared papers)Li Ping (3 shared papers)Frank R. Kschischang (2 shared papers)Volker Koch (1 shared paper)A.G. Lindgren (1 shared paper)Qinghua Guo (1 shared paper)
- Journals
- Proceedings of the IEEE (2 papers)Research Online (University of Wollongong) (1 paper)
- Partner nations
- SwitzerlandJapanHong Kong
In The Last Decade
S. Korl
9 papers receiving 416 citations
Peers
Comparison fields: 5 of 61
- Computer Networks and Communications 187
- Signal Processing 58
- Computational Mathematics 3
- Artificial Intelligence 155
- Electrical and Electronic Engineering 216
Countries citing papers authored by S. Korl
This map shows the geographic impact of S. Korl'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 S. Korl with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites S. Korl more than expected).
Fields of papers citing papers by S. Korl
This network shows the impact of papers produced by S. Korl. 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 S. Korl. The network helps show where S. Korl may publish in the future.
Co-authors
The 7 scholars most cited alongside S. Korl, 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 | 2007 | 358 | |
| 2 | 2006 | 34 | |
| 3 | Gaussian Message Passing on Linear Models: An Update | 2006 | 11 |
| 4 | 2004 | 10 | |
| 5 | 2009 | 7 | |
| 6 | 2004 | 5 | |
| 7 | 2005 | 4 | |
| 8 | 2006 | 3 | |
| 9 | The Factor Graph Approach to Model-Based Signal Processing Factor graphs can model complex systems and help to design effective algorithms for detection and estimation problems. | 2007 | 1 |
About S. Korl
S. Korl is a scholar working on Artificial Intelligence, Computer Networks and Communications, Molecular Biology, Aerospace Engineering and Signal Processing, having authored 9 papers that have together received 433 indexed citations. Recurring topics across this work include Error Correcting Code Techniques (5 papers), Target Tracking and Data Fusion in Sensor Networks (5 papers), Bayesian Modeling and Causal Inference (4 papers), Distributed Sensor Networks and Detection Algorithms (3 papers), Radar Systems and Signal Processing (2 papers), Gene Regulatory Network Analysis (2 papers), DNA and Biological Computing (2 papers) and Wireless Signal Modulation Classification (1 paper). The work is most often cited by research in Computer Networks and Communications (187 citations), Signal Processing (58 citations), Computational Mathematics (3 citations), Artificial Intelligence (155 citations) and Electrical and Electronic Engineering (216 citations). S. Korl has collaborated with scholars based in Switzerland, Japan and Hong Kong. Frequent co-authors include Hans‐Andrea Loeliger, Justin Dauwels, Li Ping, Frank R. Kschischang, Volker Koch, A.G. Lindgren and Qinghua Guo. Their work appears in journals such as Proceedings of the IEEE and Research Online (University of Wollongong).
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.