U. Trautwein

35 total papers · 697 total citations
29 papers, 528 citations indexed

About

U. Trautwein is a scholar working on Electrical and Electronic Engineering, Computer Networks and Communications and Signal Processing. According to data from OpenAlex, U. Trautwein has authored 29 papers receiving a total of 528 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Electrical and Electronic Engineering, 7 papers in Computer Networks and Communications and 7 papers in Signal Processing. Recurrent topics in U. Trautwein's work include Advanced MIMO Systems Optimization (10 papers), Wireless Communication Networks Research (7 papers) and Advanced Wireless Communication Techniques (7 papers). U. Trautwein is often cited by papers focused on Advanced MIMO Systems Optimization (10 papers), Wireless Communication Networks Research (7 papers) and Advanced Wireless Communication Techniques (7 papers). U. Trautwein collaborates with scholars based in Germany, United States and Finland. U. Trautwein's co-authors include Reiner S. Thomä, Gerd Sommerkorn, D. Hampicke, Andreas Richter, Axel Schneider, Christian Schneider, Robert Müller, Wim Kotterman, Andreas Richter and Mohamed E. El‐Khouly and has published in prestigious journals such as IEEE Transactions on Antennas and Propagation, IEEE Transactions on Instrumentation and Measurement and EURASIP Journal on Advances in Signal Processing.

In The Last Decade

U. Trautwein

29 papers receiving 492 citations

Author Peers

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

Author						Papers	Cites
U. Trautwein	444	167	129	90	36	29	528
Anthony Ngozichukwuka Uwaechia	456 1.0×	134 0.8×	78 0.6×	37 0.4×	45 1.3×	16	575
Mihai-Alin Badiu	298 0.7×	158 0.9×	100 0.8×	83 0.9×	16 0.4×	36	456
Yuan Wang	287 0.6×	194 1.2×	108 0.8×	37 0.4×	28 0.8×	15	455
Ahmad Bazzi	335 0.8×	217 1.3×	102 0.8×	138 1.5×	30 0.8×	45	588
Yi Lou	454 1.0×	202 1.2×	129 1.0×	59 0.7×	45 1.3×	38	602
Ali Görçin	423 1.0×	181 1.1×	230 1.8×	69 0.8×	47 1.3×	54	590
S.J. Howard	510 1.1×	104 0.6×	172 1.3×	36 0.4×	26 0.7×	17	542
Fredrik Athley	357 0.8×	214 1.3×	127 1.0×	202 2.2×	11 0.3×	25	564
Wenyi Wang	186 0.4×	277 1.7×	95 0.7×	149 1.7×	25 0.7×	43	482
Jiabao Gao	422 1.0×	212 1.3×	159 1.2×	75 0.8×	22 0.6×	22	598

Countries citing papers authored by U. Trautwein

Since Specialization

Citations

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

Fields of papers citing papers by U. Trautwein

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of U. Trautwein

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