Dan Reznik

536 citations
23 papers · 279 · h-index 8

Impact in

Papers in

Dan Reznik

23 papers receiving 269 citations

Peers

Dan Reznik
Comparison fields: 5 of 38
  • Control and Systems Engineering 153
  • Human-Computer Interaction 30
  • Theoretical Computer Science 4
  • Mechanical Engineering 121
  • Biomedical Engineering 122
Replace Takuya Tsujimura with:
Takuya Tsujimura Japan
L. Han China
Sheldon Andrews Canada
Nianfeng Wang China
Kok-Meng Lee United States
Longhui Qin China
Chenxi Wang China
Robert Paolini United States
R. Bansevičius Lithuania
Ernest D. Fasse United States
Dan Reznik relative to Takuya Tsujimura Japan Takuya Tsujimura's profile →
Citations per field
00.5×2.7×
Takuya Tsujimura · 1×
Citations per year

Countries citing papers authored by Dan Reznik

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Dan Reznik Line = papers co-authored together Dan Reznik links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200257
2 200254
3 200233
4 200225
5 199423
6 200219
7 200215
8 20028
9
The Universal Planar Manipulator
20007
10 20027
11 20056
12 20204
13 20224
14 20213
15 20213
16 20222
17 20202
18 20222
19 20221
20 20221

About Dan Reznik

Dan Reznik is a scholar working on Mechanical Engineering, Control and Systems Engineering, Geometry and Topology, Computer Vision and Pattern Recognition and Theoretical Computer Science, having authored 23 papers that have together received 279 indexed citations. Recurring topics across this work include Mathematics and Applications (7 papers), Robotic Mechanisms and Dynamics (6 papers), Modular Robots and Swarm Intelligence (5 papers), Robotic Path Planning Algorithms (4 papers), History and Theory of Mathematics (4 papers), Robot Manipulation and Learning (3 papers), Advanced Materials and Mechanics (2 papers) and Soft Robotics and Applications (2 papers). The work is most often cited by research in Control and Systems Engineering (153 citations), Human-Computer Interaction (30 citations), Theoretical Computer Science (4 citations), Mechanical Engineering (121 citations) and Biomedical Engineering (122 citations). Dan Reznik has collaborated with scholars based in United States, Brazil and Austria. Frequent co-authors include John Canny, V. Lumelsky, Ken Goldberg, C. Laugier, Ronaldo Garcia, Neil Alldrin, Shaun T. Brown, Jair Koiller, Mark Helman and Hellmuth Stachel. 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, European Journal of Mathematics and Journal of Geometry.

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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