Daniel Kubus

443 total citations
32 papers, 296 citations indexed

About

Daniel Kubus is a scholar working on Control and Systems Engineering, Mechanical Engineering and Biomedical Engineering. According to data from OpenAlex, Daniel Kubus has authored 32 papers receiving a total of 296 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Control and Systems Engineering, 10 papers in Mechanical Engineering and 9 papers in Biomedical Engineering. Recurrent topics in Daniel Kubus's work include Robot Manipulation and Learning (16 papers), Teleoperation and Haptic Systems (7 papers) and Soft Robotics and Applications (7 papers). Daniel Kubus is often cited by papers focused on Robot Manipulation and Learning (16 papers), Teleoperation and Haptic Systems (7 papers) and Soft Robotics and Applications (7 papers). Daniel Kubus collaborates with scholars based in Germany, Italy and Poland. Daniel Kubus's co-authors include Friedrich M. Wahl, Torsten Kröger, Jochen J. Steil, A. Scholz, Jingyuan Cheng, Klaus Eichhorn, Ingo Wagner, Corrado Guarino Lo Bianco, Friedrich Bootz and Thomas Vietor and has published in prestigious journals such as Mechanical Systems and Signal Processing, Advanced Robotics and Frontiers in Neurorobotics.

In The Last Decade

Daniel Kubus

32 papers receiving 288 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Daniel Kubus Germany 10 207 118 111 46 40 32 296
Ebrahim A. Mattar Bahrain 9 181 0.9× 147 1.2× 56 0.5× 50 1.1× 96 2.4× 43 311
Jae-Bok Song South Korea 10 262 1.3× 96 0.8× 160 1.4× 38 0.8× 38 0.9× 16 357
Wen‐Han Qian China 11 250 1.2× 147 1.2× 55 0.5× 20 0.4× 43 1.1× 34 327
Weibang Bai United Kingdom 13 155 0.7× 128 1.1× 85 0.8× 19 0.4× 49 1.2× 28 268
Weiyong Si United Kingdom 11 180 0.9× 121 1.0× 96 0.9× 21 0.5× 63 1.6× 39 316
Saïd Zeghloul France 11 238 1.1× 267 2.3× 90 0.8× 40 0.9× 92 2.3× 44 411
Doik Kim South Korea 13 358 1.7× 327 2.8× 105 0.9× 71 1.5× 69 1.7× 52 551
R. Koeppe Germany 10 381 1.8× 229 1.9× 203 1.8× 48 1.0× 61 1.5× 31 501
Dengpeng Xing China 12 208 1.0× 144 1.2× 95 0.9× 34 0.7× 53 1.3× 46 360
Antal K. Bejczy United States 11 207 1.0× 92 0.8× 150 1.4× 57 1.2× 65 1.6× 41 371

Countries citing papers authored by Daniel Kubus

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Kubus

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniel Kubus

This figure shows the co-authorship network connecting the top 25 collaborators of Daniel Kubus. A scholar is included among the top collaborators of Daniel Kubus 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 Daniel Kubus. Daniel Kubus is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Kubus, Daniel, et al.. (2022). Generating Causal Hypotheses for Explaining Black-Box Industrial Processes. Fraunhofer-Publica (Fraunhofer-Gesellschaft). 1–6. 1 indexed citations
2.
Kubus, Daniel, et al.. (2018). Learning Inverse Statics Models Efficiently With Symmetry-Based Exploration. Frontiers in Neurorobotics. 12. 68–68. 9 indexed citations
3.
Kubus, Daniel, et al.. (2018). Continuously Shaping Projections and Operational Space Tasks. 5995–6002. 12 indexed citations
4.
Kubus, Daniel, et al.. (2018). Learning Forward and Inverse Kinematics Maps Efficiently. 5133–5140. 8 indexed citations
5.
Kubus, Daniel, et al.. (2017). Robust recognition of tactile gestures for intuitive robot programming and control. 1643–1650. 1 indexed citations
6.
Kubus, Daniel, et al.. (2016). Hierarchical decomposition of industrial assembly tasks. 1–8. 2 indexed citations
7.
Piskorowski, Jacek, et al.. (2015). A method of improving the dynamic response of 3D force/torque sensors. Mechanical Systems and Signal Processing. 68-69. 366–377. 4 indexed citations
8.
9.
Kubus, Daniel, et al.. (2014). Combining visual and inertial features for efficient grasping and bin-picking. 875–882. 20 indexed citations
10.
11.
Bianco, Corrado Guarino Lo, et al.. (2012). Experimental validation of a time scaling algorithm for robotics systems. 2044–2049. 1 indexed citations
12.
Kubus, Daniel & Friedrich M. Wahl. (2011). A sensor fusion approach to angle and angular rate estimation. 2011 IEEE/RSJ International Conference on Intelligent Robots and Systems. 4 indexed citations
13.
Kubus, Daniel & Friedrich M. Wahl. (2011). A sensor fusion approach to angle and angular rate estimation. 2011 IEEE/RSJ International Conference on Intelligent Robots and Systems. 3. 2481–2488. 5 indexed citations
14.
Kubus, Daniel, et al.. (2010). Low-level control of robot manipulators: distributed open real-time control architectures for Staubli, RX and TX Manipulators. International Conference on Robotics and Automation. 38. 2 indexed citations
15.
Kubus, Daniel, et al.. (2010). The Basis of Control-Related Robotics Research - Open High-Rate Low-Level Control Architectures for Industrial Manipulators. 1–8. 1 indexed citations
16.
17.
Kubus, Daniel, et al.. (2009). An efficient parallel approach to Random Sample Matching (pRANSAM). 1199–1206. 6 indexed citations
18.
Kröger, Torsten, Daniel Kubus, & Friedrich M. Wahl. (2008). 12D force and acceleration sensing: A helpful experience report on sensor characteristics. 9. 3455–3462. 9 indexed citations
19.
Kröger, Torsten, et al.. (2007). MiRPA: Middleware for robotic and process control applications. 78. 13 indexed citations
20.
Kröger, Torsten, Daniel Kubus, & Friedrich M. Wahl. (2006). 6D Force and Acceleration Sensor Fusion for Compliant Manipulation Control. 2626–2631. 12 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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