S. Bachmann

2.1k citations
12 papers · 1.2k · 1 hit paper · h-index 9

Impact in

Papers in

S. Bachmann

12 papers receiving 1.2k citations

S. Bachmann's Hit Papers

ANYmal - a highly mobile and dynamic quadrupedal robot 2016 · 614 citations
6140+3+6Years since publication200400600

Peers

S. Bachmann
Comparison fields: 5 of 89
  • Biomedical Engineering 937
  • Control and Systems Engineering 404
  • Computer Vision and Pattern Recognition 184
  • Aerospace Engineering 216
  • Mechanical Engineering 251
Replace Pushparaj Mani Pathak with:
Pushparaj Mani Pathak India
Andreas Lauber Germany
Karen Bodie Switzerland
Weidong Wang China
Remo Diethelm Switzerland
Mantian Li China
Victor Barasuol Italy
Amir Melzer Switzerland
Hendrik Kolvenbach Switzerland
Aksel A. Transeth Norway
S. Bachmann relative to Pushparaj Mani Pathak India Pushparaj Mani Pathak's profile →
Citations per field
00.5×1.5×2.3×
Pushparaj Mani Pathak · 1×
Citations per year

Countries citing papers authored by S. Bachmann

Since Specialization
Citations

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

Fields of papers citing papers by S. Bachmann

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

12 of 12 papers shown
#Work
1
ANYmal - a highly mobile and dynamic quadrupedal robot
Hit paper breakdown →
2016614
2 2017234
3 2016189
4 200253
5 200643
6 199529
7 199525
8 200220
9 19938
10 20161
11 20021
12
Dynamics and control of a space station based tethered elevator system
19911

About S. Bachmann

S. Bachmann is a scholar working on Biomedical Engineering, Control and Systems Engineering, Mechanical Engineering, Molecular Biology and Oncology, having authored 12 papers that have together received 1.2k indexed citations. Recurring topics across this work include Soft Robotics and Applications (4 papers), Robot Manipulation and Learning (3 papers), Prosthetics and Rehabilitation Robotics (3 papers), Teleoperation and Haptic Systems (3 papers), Robotic Locomotion and Control (3 papers), PARP inhibition in cancer therapy (2 papers), Advanced Manufacturing and Logistics Optimization (2 papers) and Elevator Systems and Control (2 papers). The work is most often cited by research in Biomedical Engineering (937 citations), Control and Systems Engineering (404 citations), Computer Vision and Pattern Recognition (184 citations), Aerospace Engineering (216 citations) and Mechanical Engineering (251 citations). S. Bachmann has collaborated with scholars based in Switzerland, Canada and United States. Frequent co-authors include Michael Bloesch, C. Dario Bellicoso, Marco Hutter, Christian Gehring, Andreas Lauber, Mark A. Hoepflinger, Péter Fankhauser, Amir Melzer, Dominic Jud and Karen Bodie. Their work appears in journals such as Analytical Biochemistry, Advanced Robotics, Acta Astronautica, Biochimie and Lecture notes in computer science.

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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