Andreas Zell

12.0k citations
376 papers · 6.7k indexed · h-index 45
Topics
Robotics and Sensor-Based Localization (108 papers)Advanced Vision and Imaging (51 papers)Robotic Path Planning Algorithms (49 papers)

In The Last Decade

Andreas Zell

367 papers receiving 6.4k citations

Peers

Andreas Zell
Comparison fields: 5 of 193
  • Computer Vision and Pattern Recognition 1.9k
  • Molecular Biology 1.9k
  • Aerospace Engineering 1.6k
  • Computational Theory and Mathematics 846
  • Artificial Intelligence 680
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Countries citing papers authored by Andreas Zell

Since Specialization
Citations

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

Fields of papers citing papers by Andreas Zell

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Andreas Zell

This figure shows the co-authorship network connecting the top 25 collaborators of Andreas Zell. A scholar is included among the top collaborators of Andreas Zell 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 Andreas Zell. Andreas Zell is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 3
2 10
3 1
4 4
5 52
6 7
7
Outdoor obstacle avoidance based on hybrid stereo visual slam for an autonomous quadrotor mav
1
8
Scalable Hybrid Deep Neural Kernel Networks.
2
9 1
10 7
11 2
12 31
13
A Comparison of Similarity Measures for Localization with Passive RFID Fingerprints
12
14
A Comparison of Efficient Global Image Features for Localizing Small Mobile Robots
5
15
Loop closure and trajectory estimation with long-range passive RFID in densely tagged environments
4
16
H infinity Filtering for a Mobile Robot Tracking a Free Rolling Ball.
1
17
Gas distribution in unventilated indoor environments inspected by a mobile robot
54
18
Investigating the influence of the neighborhood attraction factor to evolution strategies with neighborhood attraction.
3
19
A new selection scheme for steady-state evolution strategies
4
20
Distributed Genetic Algorithms on the Intel Paragon, a Large MIMD Computer.
1

About Andreas Zell

Andreas Zell is a scholar working on Computer Vision and Pattern Recognition, Aerospace Engineering and Computational Theory and Mathematics, having authored 376 papers that have together received 6.7k indexed citations. Recurring topics across this work include Robotics and Sensor-Based Localization (108 papers), Advanced Vision and Imaging (51 papers) and Robotic Path Planning Algorithms (49 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (1.9k citations), Aerospace Engineering (1.6k citations) and Computational Theory and Mathematics (846 citations). Andreas Zell has collaborated with scholars based in Germany, United States and China. Frequent co-authors include Holger Fröhlich, Jörg K. Wegner, Andreas Masselli, Shaowu Yang, Felix Streichert, Andreas Dräger, Georg Hinselmann, Andreas Jahn, Lars Rosenbaum and Kiattisin Kanjanawanishkul. Their work appears in journals such as Nucleic Acids Research, Bioinformatics and PLoS ONE.

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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