Klas Kronander

755 total citations
12 papers, 568 citations indexed

About

Klas Kronander is a scholar working on Control and Systems Engineering, Biomedical Engineering and Artificial Intelligence. According to data from OpenAlex, Klas Kronander has authored 12 papers receiving a total of 568 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Control and Systems Engineering, 7 papers in Biomedical Engineering and 4 papers in Artificial Intelligence. Recurrent topics in Klas Kronander's work include Robot Manipulation and Learning (11 papers), Prosthetics and Rehabilitation Robotics (4 papers) and Soft Robotics and Applications (4 papers). Klas Kronander is often cited by papers focused on Robot Manipulation and Learning (11 papers), Prosthetics and Rehabilitation Robotics (4 papers) and Soft Robotics and Applications (4 papers). Klas Kronander collaborates with scholars based in Switzerland and United States. Klas Kronander's co-authors include Aude Billard, Mohammad Khansari, Seyed Mohammad Khansari-Zadeh, Farbod Farshidian, Jonas Buchli, Nicolas Le Sommer and Elizabeth Cha and has published in prestigious journals such as IEEE Transactions on Robotics, Robotics and Autonomous Systems and Autonomous Robots.

In The Last Decade

Klas Kronander

12 papers receiving 558 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Klas Kronander Switzerland 9 476 358 183 83 54 12 568
R.S. Askew United States 5 477 1.0× 417 1.2× 177 1.0× 36 0.4× 70 1.3× 8 748
Júlia Borràs Spain 14 386 0.8× 301 0.8× 88 0.5× 33 0.4× 50 0.9× 39 538
Chengqian Xue China 6 334 0.7× 178 0.5× 103 0.6× 59 0.7× 32 0.6× 9 482
Toru TSUMUGIWA Japan 9 355 0.7× 291 0.8× 207 1.1× 24 0.3× 110 2.0× 44 456
Lyndon Bridgwater United States 5 334 0.7× 338 0.9× 113 0.6× 19 0.2× 41 0.8× 7 508
Martin Lawitzky Germany 10 303 0.6× 156 0.4× 150 0.8× 64 0.8× 103 1.9× 11 448
João Silvério Italy 13 511 1.1× 184 0.5× 98 0.5× 215 2.6× 45 0.8× 31 638
Kento Kawaharazuka Japan 12 288 0.6× 331 0.9× 73 0.4× 44 0.5× 21 0.4× 93 503
Adrià Colomé Spain 11 349 0.7× 178 0.5× 101 0.6× 98 1.2× 18 0.3× 32 449
Kei HARA Japan 9 350 0.7× 250 0.7× 177 1.0× 27 0.3× 114 2.1× 33 444

Countries citing papers authored by Klas Kronander

Since Specialization
Citations

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

Fields of papers citing papers by Klas Kronander

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Klas Kronander

This figure shows the co-authorship network connecting the top 25 collaborators of Klas Kronander. A scholar is included among the top collaborators of Klas Kronander based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Klas Kronander. Klas Kronander is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

12 of 12 papers shown
1.
Kronander, Klas, et al.. (2017). Learning motions from demonstrations and rewards with time-invariant dynamical systems based policies. Autonomous Robots. 42(1). 45–64. 20 indexed citations
2.
Sommer, Nicolas Le, Klas Kronander, & Aude Billard. (2017). Learning externally modulated dynamical systems. Infoscience (Ecole Polytechnique Fédérale de Lausanne). 3956–3963. 3 indexed citations
3.
Kronander, Klas & Aude Billard. (2016). Stability Considerations for Variable Impedance Control. IEEE Transactions on Robotics. 32(5). 1298–1305. 192 indexed citations
4.
Kronander, Klas, Mohammad Khansari, & Aude Billard. (2015). Incremental motion learning with locally modulated dynamical systems. Robotics and Autonomous Systems. 70. 52–62. 39 indexed citations
5.
Cha, Elizabeth, Klas Kronander, & Aude Billard. (2015). Combined kinesthetic and simulated interface for teaching robot motion models. 83–88. 4 indexed citations
6.
Kronander, Klas. (2015). Control and Learning of Compliant Manipulation Skills. Infoscience (Ecole Polytechnique Fédérale de Lausanne). 5 indexed citations
7.
Kronander, Klas & Aude Billard. (2015). Passive Interaction Control With Dynamical Systems. IEEE Robotics and Automation Letters. 1(1). 106–113. 62 indexed citations
9.
Kronander, Klas & Aude Billard. (2013). Learning Compliant Manipulation through Kinesthetic and Tactile Human-Robot Interaction. IEEE Transactions on Haptics. 7(3). 367–380. 120 indexed citations
10.
Khansari-Zadeh, Seyed Mohammad, Klas Kronander, & Aude Billard. (2012). Learning to Play Minigolf: A Dynamical System-Based Approach. Advanced Robotics. 26(17). 1967–1993. 18 indexed citations
11.
Kronander, Klas & Aude Billard. (2012). Online learning of varying stiffness through physical human-robot interaction. Infoscience (Ecole Polytechnique Fédérale de Lausanne). 1842–1849. 64 indexed citations
12.
Kronander, Klas, et al.. (2011). Learning to control planar hitting motions in a minigolf-like task. 2011 IEEE/RSJ International Conference on Intelligent Robots and Systems. 710–717. 19 indexed citations

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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