Michael Pardowitz

456 total citations
20 papers, 312 citations indexed

About

Michael Pardowitz is a scholar working on Control and Systems Engineering, Artificial Intelligence and Cognitive Neuroscience. According to data from OpenAlex, Michael Pardowitz has authored 20 papers receiving a total of 312 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Control and Systems Engineering, 13 papers in Artificial Intelligence and 4 papers in Cognitive Neuroscience. Recurrent topics in Michael Pardowitz's work include Robot Manipulation and Learning (16 papers), Reinforcement Learning in Robotics (9 papers) and AI-based Problem Solving and Planning (8 papers). Michael Pardowitz is often cited by papers focused on Robot Manipulation and Learning (16 papers), Reinforcement Learning in Robotics (9 papers) and AI-based Problem Solving and Planning (8 papers). Michael Pardowitz collaborates with scholars based in Germany and Japan. Michael Pardowitz's co-authors include Steffen Knoop, Rüdiger Dillmann, Ruediger Dillmann, Helge Ritter, R. Zöllner, Carsten Schürmann, Jochen J. Steil, Robert Haschke, Florian Schmidt and R. Dillmann and has published in prestigious journals such as Neurocomputing, IEEE Transactions on Systems Man and Cybernetics Part B (Cybernetics) and Journal of Intelligent & Robotic Systems.

In The Last Decade

Michael Pardowitz

19 papers receiving 285 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Michael Pardowitz Germany 9 235 144 79 67 51 20 312
Manuel Mühlig Germany 10 191 0.8× 123 0.9× 78 1.0× 57 0.9× 28 0.5× 19 274
Daniel H. Grollman United States 10 284 1.2× 277 1.9× 63 0.8× 50 0.7× 33 0.6× 19 419
Mila Popović Denmark 8 235 1.0× 79 0.5× 107 1.4× 94 1.4× 44 0.9× 13 313
Ingo Kresse Germany 7 149 0.6× 93 0.6× 96 1.2× 41 0.6× 18 0.4× 7 245
Mirko Wächter Germany 13 246 1.0× 112 0.8× 129 1.6× 115 1.7× 33 0.6× 22 384
Daehyung Park United States 10 148 0.6× 169 1.2× 106 1.3× 44 0.7× 26 0.5× 26 329
R. Zöllner Germany 10 260 1.1× 107 0.7× 124 1.6× 74 1.1× 27 0.5× 17 350
José Ramón Medina Germany 11 278 1.2× 75 0.5× 49 0.6× 131 2.0× 70 1.4× 20 371
Shervin Javdani United States 8 131 0.6× 57 0.4× 62 0.8× 53 0.8× 70 1.4× 13 273
KeJun Ning Germany 8 232 1.0× 92 0.6× 128 1.6× 89 1.3× 16 0.3× 12 319

Countries citing papers authored by Michael Pardowitz

Since Specialization
Citations

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

Fields of papers citing papers by Michael Pardowitz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michael Pardowitz

This figure shows the co-authorship network connecting the top 25 collaborators of Michael Pardowitz. A scholar is included among the top collaborators of Michael Pardowitz 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 Michael Pardowitz. Michael Pardowitz 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.
Pardowitz, Michael, et al.. (2011). Integrating feature maps and competitive layer architectures for motion segmentation. Neurocomputing. 74(9). 1372–1381. 1 indexed citations
2.
Schürmann, Carsten, et al.. (2010). Using a Piezo-Resistive Tactile Sensor for Detection of Incipient Slippage. PUB – Publications at Bielefeld University (Bielefeld University). 1–7. 31 indexed citations
3.
Pardowitz, Michael, et al.. (2010). Neural competition for motion segmentation. PUB – Publications at Bielefeld University (Bielefeld University). 64. 2 indexed citations
4.
Franzius, Mathias, et al.. (2010). Identification of High-Level Object Manipulation Operations from Multimodal Input. 1 indexed citations
5.
Schmidt, Florian, et al.. (2010). Open source real-time control software for the Kuka light weight robot. 444–449. 14 indexed citations
6.
Pardowitz, Michael, et al.. (2009). Using entropy for dimension reduction of tactile data. PUB – Publications at Bielefeld University (Bielefeld University). 1–6. 11 indexed citations
7.
Pardowitz, Michael, et al.. (2009). Evaluation of Tactile Features for Object Categorization. PUB – Publications at Bielefeld University (Bielefeld University). 2 indexed citations
8.
Schürmann, Carsten, et al.. (2009). Handling of Deformable Material Using Tactile Sensors in a Bi-manual Scenario. PUB – Publications at Bielefeld University (Bielefeld University). 2 indexed citations
9.
Pardowitz, Michael, et al.. (2009). Using Structured UKR manifolds for motion classification and segmentation. 290. 4785–4790. 5 indexed citations
10.
Pardowitz, Michael, Robert Haschke, Jochen J. Steil, & Helge Ritter. (2008). Gestalt-based action segmentation for robot task learning. 347–352. 15 indexed citations
11.
Knoop, Steffen, Michael Pardowitz, & Rüdiger Dillmann. (2008). From Abstract Task Knowledge to Executable Robot Programs. Journal of Intelligent & Robotic Systems. 52(3-4). 343–362. 3 indexed citations
12.
Pardowitz, Michael, et al.. (2007). Learning repetitive robot programs from demonstrations using version space algebra. 394–399. 7 indexed citations
13.
Pardowitz, Michael, et al.. (2007). Incremental Learning of Tasks From User Demonstrations, Past Experiences, and Vocal Comments. IEEE Transactions on Systems Man and Cybernetics Part B (Cybernetics). 37(2). 322–332. 104 indexed citations
14.
Pardowitz, Michael & Rüdiger Dillmann. (2007). Towards life-long learning in household robots: The Piagetian approach. 88–93. 16 indexed citations
15.
Knoop, Steffen, Michael Pardowitz, & Rüdiger Dillmann. (2007). Automatic robot programming from learned abstract task knowledge. 2. 1651–1657. 8 indexed citations
16.
Pardowitz, Michael, R. Zöllner, & R. Dillmann. (2006). Incremental acquisition of task knowledge applying heuristic relevance estimation. 3011–3016. 4 indexed citations
17.
Pardowitz, Michael, R. Zöllner, Steffen Knoop, & Ruediger Dillmann. (2006). Using Physical Demonstrations, Background Knowledge and Vocal Comments for Task Learning. 322–327. 2 indexed citations
18.
19.
Pardowitz, Michael, R. Zöllner, & Rüdiger Dillmann. (2006). Learning sequential constraints of tasks from user demonstrations. 424–429. 19 indexed citations
20.
Pardowitz, Michael, R. Zöllner, & Rüdiger Dillmann. (2006). Unsupervised and Incremental Acquisition of and Reasoning on Holistic Task Knowledge forHousehold Robot Companions. 5060–5065. 1 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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