Stefan Höst

514 total citations
32 papers, 332 citations indexed

About

Stefan Höst is a scholar working on Electrical and Electronic Engineering, Computer Networks and Communications and Artificial Intelligence. According to data from OpenAlex, Stefan Höst has authored 32 papers receiving a total of 332 indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Electrical and Electronic Engineering, 11 papers in Computer Networks and Communications and 6 papers in Artificial Intelligence. Recurrent topics in Stefan Höst's work include Advanced Wireless Communication Techniques (11 papers), Power Line Communications and Noise (10 papers) and Electromagnetic Compatibility and Noise Suppression (9 papers). Stefan Höst is often cited by papers focused on Advanced Wireless Communication Techniques (11 papers), Power Line Communications and Noise (10 papers) and Electromagnetic Compatibility and Noise Suppression (9 papers). Stefan Höst collaborates with scholars based in Sweden, Russia and Brazil. Stefan Höst's co-authors include Victor Zyablov, Rolf Johannesson, Per Ola Börjesson, Miguel Berg, Per Ödling, Thomas Magesacher, Aldebaro Klautau, Kamil Sh. Zigangirov, Giacomo Verticale and Maria Kihl and has published in prestigious journals such as IEEE Transactions on Information Theory, IEEE Communications Magazine and IEEE Transactions on Communications.

In The Last Decade

Stefan Höst

30 papers receiving 309 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Stefan Höst Sweden 10 294 136 83 43 19 32 332
Kanshiro Kashiki Japan 5 277 0.9× 249 1.8× 78 0.9× 25 0.6× 32 1.7× 31 339
Ramesh Pyndiah France 11 367 1.2× 284 2.1× 142 1.7× 26 0.6× 20 1.1× 46 428
Sanjay Jinturkar United States 12 95 0.3× 160 1.2× 55 0.7× 25 0.6× 30 1.6× 22 316
Kohichi Sakaniwa Japan 11 246 0.8× 241 1.8× 64 0.8× 71 1.7× 13 0.7× 63 360
Boris D. Kudryashov Russia 11 413 1.4× 405 3.0× 162 2.0× 26 0.6× 8 0.4× 71 470
Aik Chindapol United States 7 619 2.1× 550 4.0× 98 1.2× 29 0.7× 18 0.9× 18 641
Francisco García-Herrero Spain 12 278 0.9× 263 1.9× 95 1.1× 44 1.0× 13 0.7× 49 361
Hao Jin Japan 5 332 1.1× 358 2.6× 85 1.0× 39 0.9× 12 0.6× 13 413
Gottfried Lechner Australia 13 339 1.2× 298 2.2× 38 0.5× 24 0.6× 8 0.4× 57 386
Changhua He United States 5 172 0.6× 294 2.2× 125 1.5× 8 0.2× 13 0.7× 8 340

Countries citing papers authored by Stefan Höst

Since Specialization
Citations

This map shows the geographic impact of Stefan Höst'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 Stefan Höst with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Stefan Höst more than expected).

Fields of papers citing papers by Stefan Höst

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Stefan Höst. 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 Stefan Höst. The network helps show where Stefan Höst may publish in the future.

Co-authorship network of co-authors of Stefan Höst

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

All Works

20 of 20 papers shown
1.
Höst, Stefan, William Tärneberg, Per Ödling, et al.. (2016). Network requirements for latency-critical services in a full cloud deployment. BOA (University of Milano-Bicocca). 1–5. 3 indexed citations
2.
Savi, Marco, et al.. (2016). To distribute or not to distribute? Impact of latency on Virtual Network Function distribution at the edge of FMC networks. BOA (University of Milano-Bicocca). 1–4. 13 indexed citations
3.
Magesacher, Thomas, et al.. (2016). Crosstalk Mitigation for LTE-Over-Copper in Downlink Direction. IEEE Communications Letters. 20(7). 1425–1428. 8 indexed citations
4.
Andersson, Jens, et al.. (2016). User profiling for pre-fetching or caching in a catch-up TV network. Lund University Publications (Lund University). 1–4. 1 indexed citations
5.
Höst, Stefan, et al.. (2014). Simple and Causal Copper Cable Model Suitable for G.fast Frequencies. IEEE Transactions on Communications. 62(11). 4040–4051. 28 indexed citations
6.
Andersson, Jens, et al.. (2012). Impact of DSL link impairments on higher layer QoS parameters. Lund University Publications (Lund University). 95–98. 7 indexed citations
7.
Höst, Stefan, et al.. (2010). Low complexity computation of the BT0 Hilbert twisted pair cable model. Lund University Publications (Lund University). 1 indexed citations
8.
Börjesson, Per Ola, Per Ödling, Stefan Höst, et al.. (2009). Low-Order and Causal Twisted-Pair Cable Modeling by Means of the Hilbert Transform. AIP conference proceedings. 301–310. 10 indexed citations
9.
Höst, Stefan, et al.. (2004). Woven Convolutional Codes II: Decoding Aspects. IEEE Transactions on Information Theory. 50(10). 2522–2529. 8 indexed citations
10.
Höst, Stefan, et al.. (2002). Woven convolutional codes and unequal error protection. 299–299. 2 indexed citations
11.
Höst, Stefan, Rolf Johannesson, & Victor Zyablov. (2002). Woven convolutional codes .I. Encoder properties. IEEE Transactions on Information Theory. 48(1). 149–161. 33 indexed citations
12.
Höst, Stefan, Rolf Johannesson, & Victor Zyablov. (2002). Nonequivalent cascaded convolutional codes obtained from equivalent constituent convolutional encoders. Lund University Publications (Lund University). 338–338. 1 indexed citations
13.
Höst, Stefan, et al.. (2002). On the distribution of the output error burst lengths for Viterbi decoding of convolutional codes. Lund University Publications (Lund University). 108–108.
14.
Höst, Stefan, et al.. (2002). A Distance Measure Tailored to Tailbiting Codes. Problems of Information Transmission. 38(4). 280–295. 4 indexed citations
15.
Zyablov, Victor, et al.. (1999). Asymptotic distance properties of binary woven convolutional codes. Lund University Publications (Lund University). 1 indexed citations
16.
Höst, Stefan, Rolf Johannesson, Kamil Sh. Zigangirov, & Victor Zyablov. (1999). Active distances for convolutional codes. IEEE Transactions on Information Theory. 45(2). 658–669. 42 indexed citations
17.
Höst, Stefan, Rolf Johannesson, Vladimir Sidorenko, Kamil Sh. Zigangirov, & Victor Zyablov. (1998). Cascaded convolutional codes. Lund University Publications (Lund University). 6 indexed citations
18.
Höst, Stefan, et al.. (1998). Generator matrices of binary woven convolutional codes. Lund University Publications (Lund University). 2 indexed citations
19.
Höst, Stefan, Rolf Johannesson, & Victor Zyablov. (1997). A first encounter with binary woven convolutional codes. Lund University Publications (Lund University). 14 indexed citations
20.
Höst, Stefan, Rolf Johannesson, Kamil Sh. Zigangirov, & Victor Zyablov. (1996). Active distances for convolutional codes. Lund University Publications (Lund University).

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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