Gerhard Kurz

229 total papers · 1.2k total citations
73 papers, 622 citations indexed

About

Gerhard Kurz is a scholar working on Artificial Intelligence, Aerospace Engineering and Control and Systems Engineering. According to data from OpenAlex, Gerhard Kurz has authored 73 papers receiving a total of 622 indexed citations (citations by other indexed papers that have themselves been cited), including 37 papers in Artificial Intelligence, 19 papers in Aerospace Engineering and 10 papers in Control and Systems Engineering. Recurrent topics in Gerhard Kurz's work include Target Tracking and Data Fusion in Sensor Networks (32 papers), Robotics and Sensor-Based Localization (12 papers) and Bayesian Methods and Mixture Models (10 papers). Gerhard Kurz is often cited by papers focused on Target Tracking and Data Fusion in Sensor Networks (32 papers), Robotics and Sensor-Based Localization (12 papers) and Bayesian Methods and Mixture Models (10 papers). Gerhard Kurz collaborates with scholars based in Germany, United States and Switzerland. Gerhard Kurz's co-authors include Uwe D. Hanebeck, Igor Gilitschenski, Simon Julier, Florian Pfaff, Kailai Li, Lukas Bernreiter, Roland Siegwart, Martin Müller, U. Yaramanci and Lukas Drude and has published in prestigious journals such as IEEE Transactions on Industrial Informatics, Journal of Statistical Software and IEEE Transactions on Aerospace and Electronic Systems.

In The Last Decade

Gerhard Kurz

65 papers receiving 558 citations

Author Peers

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

Author Last Decade Papers Cites
Gerhard Kurz 408 217 81 73 59 73 622
Martin Ulmke 592 1.5× 241 1.1× 86 1.1× 85 1.2× 93 1.6× 51 695
Audrey Giremus 302 0.7× 285 1.3× 52 0.6× 41 0.6× 42 0.7× 45 558
D. Cochran 215 0.5× 235 1.1× 50 0.6× 68 0.9× 37 0.6× 51 708
Samuel J. Davey 560 1.4× 411 1.9× 84 1.0× 83 1.1× 84 1.4× 56 719
Kyle J. DeMars 471 1.2× 525 2.4× 100 1.2× 28 0.4× 30 0.5× 77 760
Gongjian Zhou 433 1.1× 359 1.7× 120 1.5× 52 0.7× 43 0.7× 93 578
Yang Cheng 629 1.5× 407 1.9× 174 2.1× 18 0.2× 58 1.0× 28 773
Shovan Bhaumik 553 1.4× 299 1.4× 265 3.3× 20 0.3× 73 1.2× 83 792
Peng Dong 378 0.9× 152 0.7× 195 2.4× 49 0.7× 48 0.8× 55 593
Qi Zhang 105 0.3× 245 1.1× 129 1.6× 68 0.9× 106 1.8× 68 632

Countries citing papers authored by Gerhard Kurz

Since Specialization
Citations

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

Fields of papers citing papers by Gerhard Kurz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gerhard Kurz

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