Robert Haschke

2.5k citations
113 papers · 2.1k · h-index 24

Impact in

Papers in

Robert Haschke

110 papers receiving 2.0k citations

Peers

Robert Haschke
Comparison fields: 5 of 92
  • Control and Systems Engineering 1.1k
  • Cognitive Neuroscience 738
  • Human-Computer Interaction 218
  • Biomedical Engineering 967
  • Computer Vision and Pattern Recognition 462
Replace Kaijen Hsiao with:
Kaijen Hsiao United States
Matei Ciocarlie United States
Oliver Kroemer United States
Lorenzo Jamone United Kingdom
Takamitsu Matsubara Japan
Fulvio Mastrogiovanni Italy
Juan Antonio Corrales Ramón Spain
Katsu Yamane United States
David Rye Australia
Giorgio Cannata Italy
Robert Haschke relative to Kaijen Hsiao United States Kaijen Hsiao's profile →
Citations per field
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Kaijen Hsiao · 1×
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 113 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2014196
2 2007129
3 2008121
4 201988
5 200585
6 201384
7 201178
8 201364
9 200456
10 201650
11 201639
12 200939
13 201237
14 201137
15 201236
16 201234
17 201031
18 201331
19 200730
20 200528

About Robert Haschke

Robert Haschke is a scholar working on Control and Systems Engineering, Cognitive Neuroscience, Biomedical Engineering, Artificial Intelligence and Computer Vision and Pattern Recognition, having authored 113 papers that have together received 2.1k indexed citations. Recurring topics across this work include Robot Manipulation and Learning (64 papers), Tactile and Sensory Interactions (34 papers), Advanced Sensor and Energy Harvesting Materials (17 papers), Muscle activation and electromyography studies (16 papers), Hand Gesture Recognition Systems (15 papers), Soft Robotics and Applications (12 papers), Teleoperation and Haptic Systems (10 papers) and Motor Control and Adaptation (10 papers). The work is most often cited by research in Control and Systems Engineering (1.1k citations), Cognitive Neuroscience (738 citations), Human-Computer Interaction (218 citations), Biomedical Engineering (967 citations) and Computer Vision and Pattern Recognition (462 citations). Robert Haschke has collaborated with scholars based in Germany, Japan and United States. Frequent co-authors include Helge Ritter, Jochen J. Steil, Carsten Schürmann, Risto Kõiva, Qiang Li, Helge Ritter, Martin Meier, Michael Görner, Jianwei Zhang and Manuel Meier. Their work appears in journals such as Springer tracts in advanced robotics, International Journal of Astrobiology, Robotics and Autonomous Systems, Neural Networks and Neurocomputing.

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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