Uwe Kastens

114 total papers · 1.0k total citations
35 papers, 505 citations indexed

About

Uwe Kastens is a scholar working on Artificial Intelligence, Computer Networks and Communications and Hardware and Architecture. According to data from OpenAlex, Uwe Kastens has authored 35 papers receiving a total of 505 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Artificial Intelligence, 13 papers in Computer Networks and Communications and 12 papers in Hardware and Architecture. Recurrent topics in Uwe Kastens's work include Model-Driven Software Engineering Techniques (10 papers), Embedded Systems Design Techniques (10 papers) and Parallel Computing and Optimization Techniques (9 papers). Uwe Kastens is often cited by papers focused on Model-Driven Software Engineering Techniques (10 papers), Embedded Systems Design Techniques (10 papers) and Parallel Computing and Optimization Techniques (9 papers). Uwe Kastens collaborates with scholars based in Germany, United States and China. Uwe Kastens's co-authors include William M. Waite, Marco Platzner, Carsten Schmidt, Michael Thies, Hans Kleine Büning, Anthony M. Sloane, Jürgen Teich, Ulrich Rückert, Mario Porrmann and Vincent P. Heuring and has published in prestigious journals such as ACM SIGPLAN Notices, Lecture notes in computer science and Software Practice and Experience.

In The Last Decade

Uwe Kastens

30 papers receiving 448 citations

Author Peers

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

Author						Papers	Cites
Uwe Kastens	345	172	163	137	127	35	505
Aws Albarghouthi	314 0.9×	158 0.9×	148 0.9×	113 0.8×	87 0.7×	39	539
Thomas A. Standish	282 0.8×	244 1.4×	134 0.8×	73 0.5×	91 0.7×	35	560
Sascha Konrad	283 0.8×	231 1.3×	233 1.4×	168 1.2×	52 0.4×	20	482
Matteo Pradella	352 1.0×	171 1.0×	109 0.7×	196 1.4×	59 0.5×	53	568
Jan Hoffmann	451 1.3×	75 0.4×	122 0.7×	363 2.6×	181 1.4×	41	577
Allen Goldberg	253 0.7×	155 0.9×	204 1.3×	146 1.1×	83 0.7×	31	470
Doron Drusinsky	203 0.6×	102 0.6×	261 1.6×	295 2.2×	120 0.9×	62	534
Lalita Jategaonkar Jagadeesan	182 0.5×	83 0.5×	194 1.2×	192 1.4×	78 0.6×	38	448
Reino Kurki-Suonio	313 0.9×	93 0.5×	137 0.8×	302 2.2×	127 1.0×	37	536
David B. Wortman	222 0.6×	145 0.8×	72 0.4×	76 0.6×	191 1.5×	48	535

Countries citing papers authored by Uwe Kastens

Since Specialization

Citations

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

Fields of papers citing papers by Uwe Kastens

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Uwe Kastens

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