S. Korl

747 total citations
9 papers, 431 citations indexed

About

S. Korl is a scholar working on Artificial Intelligence, Computer Networks and Communications and Molecular Biology. According to data from OpenAlex, S. Korl has authored 9 papers receiving a total of 431 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Artificial Intelligence, 7 papers in Computer Networks and Communications and 3 papers in Molecular Biology. Recurrent topics in S. Korl's work include Error Correcting Code Techniques (5 papers), Target Tracking and Data Fusion in Sensor Networks (5 papers) and Bayesian Modeling and Causal Inference (4 papers). S. Korl is often cited by papers focused on Error Correcting Code Techniques (5 papers), Target Tracking and Data Fusion in Sensor Networks (5 papers) and Bayesian Modeling and Causal Inference (4 papers). S. Korl collaborates with scholars based in Switzerland, Japan and Hong Kong. S. Korl's co-authors include Hans‐Andrea Loeliger, Justin Dauwels, Li Ping, Frank R. Kschischang, Volker Koch, A.G. Lindgren and Qinghua Guo and has published in prestigious journals such as Proceedings of the IEEE and Research Online (University of Wollongong).

In The Last Decade

S. Korl

9 papers receiving 414 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
S. Korl Switzerland	6	215	186	155	58	41	9	431
Ali Jamshidi Iran	16	361 1.7×	391 2.1×	79 0.5×	48 0.8×	67 1.6×	69	609
H. Zamiri‐Jafarian Iran	13	386 1.8×	233 1.3×	56 0.4×	94 1.6×	14 0.3×	50	480
Jianhong Xiang China	14	118 0.5×	98 0.5×	73 0.5×	47 0.8×	19 0.5×	68	521
Juan José Murillo-Fuentes Spain	13	235 1.1×	158 0.8×	120 0.8×	154 2.7×	15 0.4×	75	525
Weijie Tan China	11	182 0.8×	82 0.4×	163 1.1×	96 1.7×	26 0.6×	112	636
Yuanwu Lei China	13	131 0.6×	93 0.5×	122 0.8×	82 1.4×	16 0.4×	40	427
Badri N. Vellambi Australia	11	660 3.1×	406 2.2×	81 0.5×	47 0.8×	38 0.9×	51	834
Stéphane Azou France	9	138 0.6×	62 0.3×	89 0.6×	76 1.3×	38 0.9×	39	309
Audrey Giremus France	13	182 0.8×	41 0.2×	304 2.0×	40 0.7×	20 0.5×	45	561
Xiaopeng Yan China	13	77 0.4×	159 0.9×	196 1.3×	82 1.4×	20 0.5×	61	516

Countries citing papers authored by S. Korl

Since Specialization

Citations

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

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of S. Korl

This figure shows the co-authorship network connecting the top 25 collaborators of S. Korl. A scholar is included among the top collaborators of S. Korl 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 S. Korl. S. Korl is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

9 of 9 papers shown

1.

Loeliger, Hans‐Andrea, et al.. (2009). Localizing, forgetting, and likelihood filtering in state-space models. 184–186. 7 indexed citations

2.

Loeliger, Hans‐Andrea, et al.. (2007). 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.. Proceedings of the IEEE. 95(6). 1295–1322. 1 indexed citations

3.

Loeliger, Hans‐Andrea, et al.. (2007). The Factor Graph Approach to Model-Based Signal Processing. Proceedings of the IEEE. 95(6). 1295–1322. 356 indexed citations

4.

Loeliger, Hans‐Andrea, et al.. (2006). Gaussian Message Passing on Linear Models: An Update. Research Online (University of Wollongong). 1–7. 11 indexed citations

5.

Dauwels, Justin, S. Korl, & Hans‐Andrea Loeliger. (2006). Particle Methods as Message Passing. 2052–2056. 34 indexed citations

6.

Dauwels, Justin & S. Korl. (2006). A Numerical Method to Compute Cramer-Rao-Type Bounds for Challenging Estimation Problems. 5. V–717. 3 indexed citations

7.

Dauwels, Justin, S. Korl, & Hans‐Andrea Loeliger. (2005). Steepest descent as message passing. 5 pp.–5 pp.. 4 indexed citations

8.

Loeliger, Hans‐Andrea, Justin Dauwels, Volker Koch, & S. Korl. (2004). Signal processing with factor graphs: examples. 571–574. 10 indexed citations

9.

Korl, S., Hans‐Andrea Loeliger, & A.G. Lindgren. (2004). AR model parameter estimation: from factor graphs to algorithms. 5. V–509. 5 indexed citations

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.

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