Ε. Freund

1.4k citations
89 papers · 1.1k · h-index 14

Impact in

Papers in

Ε. Freund

79 papers receiving 961 citations

Peers

Ε. Freund
Comparison fields: 5 of 76
  • Control and Systems Engineering 784
  • Computer Vision and Pattern Recognition 334
  • Industrial and Manufacturing Engineering 103
  • Mechanical Engineering 274
  • Human-Computer Interaction 33
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Jeffrey Ichnowski United States
Jan Rosell Spain
Carl D. Crane United States
Bakir Lačević Bosnia and Herzegovina
Benjamin Pitzer United States
Luís Seabra Lopes Portugal
Wim Meeussen United States
Ching‐Chang Wong Taiwan
Hsu‐Chih Huang Taiwan
Robert Bohlin Sweden
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Citations per field
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Citations per year

Countries citing papers authored by Ε. Freund

Since Specialization
Citations

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

Fields of papers citing papers by Ε. Freund

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 14 scholars most cited alongside Ε. Freund, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Ε. Freund Line = papers co-authored together Ε. Freund links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 89 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1982372
2 199982
3 199760
4 198855
5 197352
6 200242
7 197733
8 198630
9 197130
10 198420
11 200418
12 200414
13 200513
14 200213
15 200212
16 199811
17 200211
18 200110
19 20059
20 20029

About Ε. Freund

Ε. Freund is a scholar working on Control and Systems Engineering, Computer Vision and Pattern Recognition, Mechanical Engineering, Aerospace Engineering and Industrial and Manufacturing Engineering, having authored 89 papers that have together received 1.1k indexed citations. Recurring topics across this work include Robotic Path Planning Algorithms (27 papers), Robot Manipulation and Learning (19 papers), Advanced Manufacturing and Logistics Optimization (12 papers), Modular Robots and Swarm Intelligence (12 papers), Space Satellite Systems and Control (10 papers), Teleoperation and Haptic Systems (10 papers), Robotic Mechanisms and Dynamics (10 papers) and Flexible and Reconfigurable Manufacturing Systems (9 papers). The work is most often cited by research in Control and Systems Engineering (784 citations), Computer Vision and Pattern Recognition (334 citations), Industrial and Manufacturing Engineering (103 citations), Mechanical Engineering (274 citations) and Human-Computer Interaction (33 citations). Ε. Freund has collaborated with scholars based in Germany and United States. Frequent co-authors include Jürgen Roßmann, Helmut Hoyer, Robert Mayr, Michael Schluse, Juergen Rossmann, Christian Schlette, Thomas Koch, H. Wéber, Cameron J. Turner and D. Hahn. Their work appears in journals such as Electronics Letters, The International Journal of Robotics Research, IEEE Transactions on Automatic Control, IEEE Transactions on Robotics and Automation and Robotica.

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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