Robert Haschke

95 papers receiving 1.7k citations

Peers

Robert Haschke
Comparison fields: 5 of 83
  • Control and Systems Engineering 968
  • Human-Computer Interaction 190
  • Cognitive Neuroscience 590
  • Computer Vision and Pattern Recognition 410
  • Biomedical Engineering 828
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Berk Çallı United States
Matei Ciocarlie United States
Akio Namiki Japan
Juan Antonio Corrales Ramón Spain
Shan Luo United Kingdom
Oliver Kroemer United States
Kaijen Hsiao United States
Sungchul Kang South Korea
Michael Gienger Germany
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Citations per year

Countries citing papers authored by Robert Haschke

Since Specialization
Citations

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

Fields of papers citing papers by Robert Haschke

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Robert Haschke, 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 Robert Haschke Line = papers co-authored together Robert Haschke links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 97 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2014189
2 2008115
3 2007113
4 201981
5 201377
6 200574
7 201172
8 201360
9 200448
10 201635
11 200934
12 201232
13 201232
14 201232
15 201132
16 201027
17 201627
18 200726
19 201326
20 200625

About Robert Haschke

Robert Haschke is a scholar working on Control and Systems Engineering, Cognitive Neuroscience, Biomedical Engineering, Computer Vision and Pattern Recognition and Artificial Intelligence, having authored 97 papers that have together received 1.7k indexed citations. Recurring topics across this work include Robot Manipulation and Learning (58 papers), Tactile and Sensory Interactions (27 papers), Hand Gesture Recognition Systems (14 papers), Muscle activation and electromyography studies (14 papers), Advanced Sensor and Energy Harvesting Materials (14 papers), Soft Robotics and Applications (12 papers), Teleoperation and Haptic Systems (10 papers) and Robotics and Sensor-Based Localization (10 papers). The work is most often cited by research in Control and Systems Engineering (968 citations), Human-Computer Interaction (190 citations), Cognitive Neuroscience (590 citations), Computer Vision and Pattern Recognition (410 citations) and Biomedical Engineering (828 citations). Robert Haschke has collaborated with scholars based in Germany, Japan and United States. Frequent co-authors include Helge Ritter, Carsten Schürmann, Jochen J. Steil, Risto Kõiva, Qiang Li, Helge Ritter, Martin Meier, Michael Görner, Jianwei Zhang and Manuel Meier. Their work appears in journals such as Robotics and Autonomous Systems, International Journal of Astrobiology, Neural Networks, Neurocomputing and Journal of Neurophysiology.

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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