Dan Reznik
Impact in
- Theoretical Computer Science top 10%
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- Robot Manipulation and Learning
- Robotic Mechanisms and Dynamics
- Dynamics and Control of Mechanical Systems
Papers in
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- Mathematics and Applications 11
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- History and Theory of Mathematics 8
- Co-authors
- John Canny (8 shared papers)V. Lumelsky (3 shared papers)Ken Goldberg (1 shared paper)Christian Laugier (1 shared paper)Ronaldo Alves Garcia (13 shared papers)Neil Alldrin (1 shared paper)Mark Helman (3 shared papers)Shaun T. Brown (1 shared paper)
- Journals
- Journal of Dynamical and Control Systems (2 papers)Advanced Robotics (1 paper)Beiträge zur Algebra und Geometrie / Contributions to Algebra and Geometry (2 papers)Journal of Symbolic Computation (1 paper)European Journal of Mathematics (1 paper)
- Partner nations
- BrazilUnited StatesAustria
In The Last Decade
Dan Reznik
29 papers receiving 330 citations
Peers
Comparison fields: 5 of 40
- Theoretical Computer Science 13
- Control and Systems Engineering 190
- Human-Computer Interaction 39
- Mechanical Engineering 153
- Biomedical Engineering 139
Countries citing papers authored by Dan Reznik
This map shows the geographic impact of Dan Reznik'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 Dan Reznik with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dan Reznik more than expected).
Fields of papers citing papers by Dan Reznik
This network shows the impact of papers produced by Dan Reznik. 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 Dan Reznik. The network helps show where Dan Reznik may publish in the future.
Co-authors
The 14 scholars most cited alongside Dan Reznik, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 29 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2002 | 62 | |
| 2 | 2002 | 58 | |
| 3 | 2002 | 34 | |
| 4 | 2000 | 34 | |
| 5 | 2002 | 28 | |
| 6 | 1994 | 26 | |
| 7 | 2002 | 20 | |
| 8 | 2002 | 15 | |
| 9 | 2002 | 8 | |
| 10 | 2002 | 8 | |
| 11 | The Universal Planar Manipulator | 2000 | 7 |
| 12 | 2005 | 6 | |
| 13 | 2021 | 5 | |
| 14 | 2022 | 5 | |
| 15 | 2020 | 4 | |
| 16 | 2021 | 4 | |
| 17 | 2022 | 3 | |
| 18 | 2020 | 2 | |
| 19 | 2022 | 2 | |
| 20 | 2022 | 2 |
About Dan Reznik
Dan Reznik is a scholar working on Geometry and Topology, Theoretical Computer Science, Control and Systems Engineering, Statistical and Nonlinear Physics and Computer Vision and Pattern Recognition, having authored 29 papers that have together received 342 indexed citations. Recurring topics across this work include Mathematics and Applications (11 papers), History and Theory of Mathematics (8 papers), Robotic Mechanisms and Dynamics (7 papers), Modular Robots and Swarm Intelligence (6 papers), Robotic Path Planning Algorithms (5 papers), Advanced Numerical Analysis Techniques (3 papers), Robot Manipulation and Learning (3 papers) and Quantum chaos and dynamical systems (2 papers). The work is most often cited by research in Theoretical Computer Science (13 citations), Control and Systems Engineering (190 citations), Human-Computer Interaction (39 citations), Mechanical Engineering (153 citations) and Biomedical Engineering (139 citations). Dan Reznik has collaborated with scholars based in Brazil, United States and Austria. Frequent co-authors include John Canny, V. Lumelsky, Ken Goldberg, Christian Laugier, Ronaldo Alves Garcia, Neil Alldrin, Mark Helman, Shaun T. Brown, Jair Koiller and Boris Odehnal. Their work appears in journals such as Journal of Dynamical and Control Systems, Advanced Robotics, Beiträge zur Algebra und Geometrie / Contributions to Algebra and Geometry, Journal of Symbolic Computation and European Journal of Mathematics.
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.