Uwe Kubach

30 total papers · 467 total citations
12 papers, 220 citations indexed

About

Uwe Kubach is a scholar working on Computer Vision and Pattern Recognition, Computer Networks and Communications and Signal Processing. According to data from OpenAlex, Uwe Kubach has authored 12 papers receiving a total of 220 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Computer Vision and Pattern Recognition, 7 papers in Computer Networks and Communications and 2 papers in Signal Processing. Recurrent topics in Uwe Kubach's work include Context-Aware Activity Recognition Systems (10 papers), Bluetooth and Wireless Communication Technologies (3 papers) and Opportunistic and Delay-Tolerant Networks (3 papers). Uwe Kubach is often cited by papers focused on Context-Aware Activity Recognition Systems (10 papers), Bluetooth and Wireless Communication Technologies (3 papers) and Opportunistic and Delay-Tolerant Networks (3 papers). Uwe Kubach collaborates with scholars based in Germany and United States. Uwe Kubach's co-authors include Kurt Rothermel, Alexander Leonhardi, Markus Schwehm, Fritz Hohl, Oliver Günther, Michael Beigl, Christian Decker and Joachim Baumann and has published in prestigious journals such as Personal and Ubiquitous Computing, Digital Access to Libraries (Université catholique de Louvain (UCL), l'Université de Namur (UNamur) and the Université Saint-Louis (USL-B)) and OPUS Publication Server of the University of Stuttgart (University of Stuttgart).

In The Last Decade

Uwe Kubach

11 papers receiving 184 citations

Author Peers

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

Author						Papers	Cites
Uwe Kubach	133	101	47	31	25	12	220
Fano Ramparany	87 0.7×	76 0.8×	25 0.5×	13 0.4×	22 0.9×	23	189
Nawal Alsufyani	103 0.8×	80 0.8×	40 0.9×	17 0.5×	6 0.2×	15	251
Francesco Antoniazzi	77 0.6×	89 0.9×	50 1.1×	41 1.3×	5 0.2×	15	218
Thomas Dübendorfer	165 1.2×	48 0.5×	30 0.6×	56 1.8×	16 0.6×	11	263
Olivier Liechti	156 1.2×	104 1.0×	31 0.7×	20 0.6×	9 0.4×	14	308
Simon Monk	95 0.7×	30 0.3×	76 1.6×	19 0.6×	9 0.4×	16	265
Nak-Myoung Sung	166 1.2×	85 0.8×	66 1.4×	14 0.5×	16 0.6×	16	280
Joaõ Pedro Dias	113 0.8×	33 0.3×	38 0.8×	16 0.5×	9 0.4×	21	209
Reza Khoshkangini	105 0.8×	28 0.3×	19 0.4×	48 1.5×	25 1.0×	19	239
Mario Pichler	137 1.0×	155 1.5×	39 0.8×	14 0.5×	8 0.3×	17	282

Countries citing papers authored by Uwe Kubach

Since Specialization

Citations

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

Fields of papers citing papers by Uwe Kubach

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Uwe Kubach

This figure shows the co-authorship network connecting the top 25 collaborators of Uwe Kubach. A scholar is included among the top collaborators of Uwe Kubach 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 Uwe Kubach. Uwe Kubach 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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