Sandra Hirche

9.6k citations
378 papers · 6.4k · h-index 41

Impact in

Papers in

Sandra Hirche

359 papers receiving 6.2k citations

Peers

Sandra Hirche
Comparison fields: 5 of 130
  • Control and Systems Engineering 3.4k
  • Human-Computer Interaction 532
  • Computer Networks and Communications 1.8k
  • Cognitive Neuroscience 1.0k
  • Mechanical Engineering 1.8k
Replace Cristian Secchi with:
Cristian Secchi Italy
Martin Buss Germany
Hajime Asama Japan
Aiguo Song China
Morgan Quigley United States
Paolo Robuffo Giordano France
Reid Simmons United States
Huaping Liu China
Fumitoshi Matsuno Japan
Keng Peng Tee Singapore
Sandra Hirche relative to Cristian Secchi Italy Cristian Secchi's profile →
Citations per field
00.5×1.5×2.4×
Cristian Secchi · 1×
Citations per year

Countries citing papers authored by Sandra Hirche

Since Specialization
Citations

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

Fields of papers citing papers by Sandra Hirche

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 378 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2012220
2 2005186
3 2012171
4 2008154
5 2012144
6 2012121
7 2017101
8 2019100
9 201691
10 201291
11 201988
12 201784
13 201582
14 201272
15 202066
16 200966
17 201565
18 201165
19 202064
20 201864

About Sandra Hirche

Sandra Hirche is a scholar working on Control and Systems Engineering, Computer Networks and Communications, Mechanical Engineering, Cognitive Neuroscience and Artificial Intelligence, having authored 378 papers that have together received 6.4k indexed citations. Recurring topics across this work include Stability and Control of Uncertain Systems (79 papers), Robot Manipulation and Learning (64 papers), Teleoperation and Haptic Systems (64 papers), Advanced Control Systems Optimization (62 papers), Distributed Control Multi-Agent Systems (58 papers), Control Systems and Identification (34 papers), Motor Control and Adaptation (34 papers) and Tactile and Sensory Interactions (30 papers). The work is most often cited by research in Control and Systems Engineering (3.4k citations), Human-Computer Interaction (532 citations), Computer Networks and Communications (1.8k citations), Cognitive Neuroscience (1.0k citations) and Mechanical Engineering (1.8k citations). Sandra Hirche has collaborated with scholars based in Germany, United States and Japan. Frequent co-authors include Martin Buss, Adam Molin, Eckehard Steinbach, Alexander Mörtl, Martin Lawitzky, José Ramón Medina, Mohammad H. Mamduhi, Jonas Umlauft, Tamara Lorenz and Thomas Beckers. Their work appears in journals such as IEEE Transactions on Automatic Control, IEEE Control Systems Letters, IEEE Transactions on Robotics, IEEE Transactions on Control of Network Systems and PRESENCE Virtual and Augmented Reality.

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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