Martin Dräxler

19 total papers · 406 total citations
15 papers, 278 citations indexed

About

Martin Dräxler is a scholar working on Computer Networks and Communications, Electrical and Electronic Engineering and Computer Vision and Pattern Recognition. According to data from OpenAlex, Martin Dräxler has authored 15 papers receiving a total of 278 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Computer Networks and Communications, 12 papers in Electrical and Electronic Engineering and 3 papers in Computer Vision and Pattern Recognition. Recurrent topics in Martin Dräxler's work include Caching and Content Delivery (5 papers), Software-Defined Networks and 5G (4 papers) and Advanced MIMO Systems Optimization (4 papers). Martin Dräxler is often cited by papers focused on Caching and Content Delivery (5 papers), Software-Defined Networks and 5G (4 papers) and Advanced MIMO Systems Optimization (4 papers). Martin Dräxler collaborates with scholars based in Germany, Spain and Sweden. Martin Dräxler's co-authors include Holger Karl, Vincenzo Mancuso, Antonio de la Oliva, Vincenzo Sciancalepore, Claudio Cicconetti, Rohit Kumar Gupta, Laurent Roullet, Wolfgang Kellerer, Christian Dannewitz and Arash Asadi and has published in prestigious journals such as Computer Communications, International Journal of Wireless Information Networks and Journal of Communications.

In The Last Decade

Martin Dräxler

15 papers receiving 272 citations

Author Peers

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

Author Last Decade Papers Cites
Martin Dräxler 251 108 50 35 15 15 278
Norbert Niebert 282 1.1× 138 1.3× 40 0.8× 27 0.8× 6 0.4× 10 305
Shuping Peng 273 1.1× 166 1.5× 48 1.0× 30 0.9× 5 0.3× 19 316
Rihab Jmal 244 1.0× 86 0.8× 32 0.6× 18 0.5× 20 1.3× 20 271
Cenk Gündoğan 197 0.8× 72 0.7× 33 0.7× 17 0.5× 23 1.5× 21 242
Peter Kietzmann 184 0.7× 86 0.8× 32 0.6× 17 0.5× 24 1.6× 21 241
Jie Yu 237 0.9× 104 1.0× 122 2.4× 34 1.0× 4 0.3× 13 326
Pirabakaran Navaratnam 301 1.2× 109 1.0× 27 0.5× 19 0.5× 7 0.5× 23 317
Dongeun Suh 297 1.2× 176 1.6× 33 0.7× 23 0.7× 20 1.3× 20 329
Zhimei Jiang 236 0.9× 183 1.7× 15 0.3× 51 1.5× 36 2.4× 18 282
Hamed Hellaoui 145 0.6× 128 1.2× 28 0.6× 42 1.2× 10 0.7× 18 266

Countries citing papers authored by Martin Dräxler

Since Specialization
Citations

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

Fields of papers citing papers by Martin Dräxler

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Martin Dräxler

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