Alexander Leonhardi

21 total papers · 405 total citations
12 papers, 214 citations indexed

About

Alexander Leonhardi is a scholar working on Computer Networks and Communications, Computer Vision and Pattern Recognition and Signal Processing. According to data from OpenAlex, Alexander Leonhardi has authored 12 papers receiving a total of 214 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Computer Networks and Communications, 8 papers in Computer Vision and Pattern Recognition and 4 papers in Signal Processing. Recurrent topics in Alexander Leonhardi's work include Context-Aware Activity Recognition Systems (8 papers), Data Management and Algorithms (4 papers) and IoT and Edge/Fog Computing (3 papers). Alexander Leonhardi is often cited by papers focused on Context-Aware Activity Recognition Systems (8 papers), Data Management and Algorithms (4 papers) and IoT and Edge/Fog Computing (3 papers). Alexander Leonhardi collaborates with scholars based in Germany. Alexander Leonhardi's co-authors include Kurt Rothermel, Uwe Kubach, Markus Schwehm, Fritz Hohl, Daniel Herrscher, Joachim Baumann, Martin Törngren, Richard Anthony, DeJiu Chen and Simon Burton and has published in prestigious journals such as Personal and Ubiquitous Computing, Cluster Computing and Fachbereich Informatik (University of Stuttgart).

In The Last Decade

Alexander Leonhardi

11 papers receiving 182 citations

Author Peers

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

Author Last Decade Papers Cites
Alexander Leonhardi 134 128 64 55 17 12 214
Uwe Kubach 133 1.0× 101 0.8× 47 0.7× 31 0.6× 15 0.9× 12 220
Jens Krösche 43 0.3× 100 0.8× 154 2.4× 42 0.8× 23 1.4× 11 245
Remous-Aris Koutsiamanis 133 1.0× 37 0.3× 68 1.1× 10 0.2× 33 1.9× 16 239
Clemens Lombriser 145 1.1× 145 1.1× 76 1.2× 19 0.3× 40 2.4× 20 253
Michael Fahrmair 209 1.6× 146 1.1× 24 0.4× 67 1.2× 56 3.3× 23 295
Pedro Chahuara 44 0.3× 102 0.8× 50 0.8× 32 0.6× 60 3.5× 8 180
Roelof Kemp 138 1.0× 66 0.5× 39 0.6× 19 0.3× 20 1.2× 12 177
Ozgur Yurur 118 0.9× 179 1.4× 87 1.4× 14 0.3× 50 2.9× 10 286
Manli Zhu 172 1.3× 82 0.6× 19 0.3× 226 4.1× 37 2.2× 9 285
Thomas Toftkjær 68 0.5× 73 0.6× 150 2.3× 24 0.4× 5 0.3× 8 194

Countries citing papers authored by Alexander Leonhardi

Since Specialization
Citations

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

Fields of papers citing papers by Alexander Leonhardi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Alexander Leonhardi

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