Koen De Schepper

44 total papers · 426 total citations
27 papers, 230 citations indexed

About

Koen De Schepper is a scholar working on Computer Networks and Communications, Electrical and Electronic Engineering and Computer Vision and Pattern Recognition. According to data from OpenAlex, Koen De Schepper has authored 27 papers receiving a total of 230 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Computer Networks and Communications, 10 papers in Electrical and Electronic Engineering and 8 papers in Computer Vision and Pattern Recognition. Recurrent topics in Koen De Schepper's work include Network Traffic and Congestion Control (16 papers), Software-Defined Networks and 5G (12 papers) and Image and Video Quality Assessment (7 papers). Koen De Schepper is often cited by papers focused on Network Traffic and Congestion Control (16 papers), Software-Defined Networks and 5G (12 papers) and Image and Video Quality Assessment (7 papers). Koen De Schepper collaborates with scholars based in Belgium, United States and Netherlands. Koen De Schepper's co-authors include Bob Briscoe, Chrysa Papagianni, Werner Van Leekwijck, Bart De Vleeschauwer, Marcelo Bagnulo, Steven Latré, Filip De Turck, Danny De Vleeschauwer, Niels Bouten and Tingyao Wu and has published in prestigious journals such as IEEE Access, IEEE Transactions on Network and Service Management and Bell Labs Technical Journal.

In The Last Decade

Koen De Schepper

26 papers receiving 221 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Koen De Schepper	200	68	58	27	20	27	230
Jing Liu	214 1.1×	63 0.9×	104 1.8×	37 1.4×	20 1.0×	35	295
Ognjen Dobrijević	212 1.1×	61 0.9×	83 1.4×	9 0.3×	54 2.7×	21	262
Salvatore Loreto	203 1.0×	51 0.8×	85 1.5×	11 0.4×	60 3.0×	38	257
Qinghua Wu	238 1.2×	81 1.2×	63 1.1×	39 1.4×	26 1.3×	31	293
Shoji Kurakake	76 0.4×	98 1.4×	43 0.7×	28 1.0×	32 1.6×	30	189
Francesco Bronzino	237 1.2×	92 1.4×	67 1.2×	31 1.1×	12 0.6×	29	299
Andreas Binzenhöfer	182 0.9×	42 0.6×	24 0.4×	13 0.5×	25 1.3×	21	210
Barbara Staehle	232 1.2×	77 1.1×	100 1.7×	24 0.9×	16 0.8×	31	295
Alisa Devlić	102 0.5×	49 0.7×	48 0.8×	15 0.6×	17 0.8×	20	150
Zhimei Jiang	236 1.2×	51 0.8×	183 3.2×	36 1.3×	9 0.5×	18	282

Countries citing papers authored by Koen De Schepper

Since Specialization

Citations

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

Fields of papers citing papers by Koen De Schepper

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Koen De Schepper. 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 Koen De Schepper. The network helps show where Koen De Schepper may publish in the future.

Co-authorship network of co-authors of Koen De Schepper

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

All Works

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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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