Jonathan Weisz

591 total citations
12 papers, 371 citations indexed

About

Jonathan Weisz is a scholar working on Biomedical Engineering, Control and Systems Engineering and Cognitive Neuroscience. According to data from OpenAlex, Jonathan Weisz has authored 12 papers receiving a total of 371 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Biomedical Engineering, 8 papers in Control and Systems Engineering and 3 papers in Cognitive Neuroscience. Recurrent topics in Jonathan Weisz's work include Robot Manipulation and Learning (8 papers), Muscle activation and electromyography studies (6 papers) and Soft Robotics and Applications (5 papers). Jonathan Weisz is often cited by papers focused on Robot Manipulation and Learning (8 papers), Muscle activation and electromyography studies (6 papers) and Soft Robotics and Applications (5 papers). Jonathan Weisz collaborates with scholars based in United States, Germany and Italy. Jonathan Weisz's co-authors include Peter K. Allen, Peter Allen, Jacob Varley, Hao Dang, Joseph DelPreto, Long Wang, Frank L. Hammond, Robert D. Howe, Yipeng Huang and Simha Sethumadhavan and has published in prestigious journals such as The International Journal of Robotics Research and 2011 IEEE/RSJ International Conference on Intelligent Robots and Systems.

In The Last Decade

Jonathan Weisz

12 papers receiving 355 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Jonathan Weisz United States	8	314	229	66	65	57	12	371
Bidan Huang China	12	173 0.6×	120 0.5×	80 1.2×	46 0.7×	73 1.3×	33	314
Advait Jain United States	10	306 1.0×	161 0.7×	111 1.7×	64 1.0×	147 2.6×	12	433
Paul Evrard France	12	329 1.0×	220 1.0×	146 2.2×	102 1.6×	87 1.5×	19	502
José Ramón Medina Germany	11	278 0.9×	131 0.6×	80 1.2×	70 1.1×	49 0.9×	20	371
Marek Kopicki United Kingdom	11	322 1.0×	173 0.8×	90 1.4×	50 0.8×	138 2.4×	18	414
J. Rogelio Guadarrama-Olvera Germany	10	175 0.6×	219 1.0×	66 1.0×	108 1.7×	32 0.6×	25	368
Jean-Pierre Gazeau France	12	236 0.8×	192 0.8×	91 1.4×	40 0.6×	60 1.1×	31	359
Jean‐Sebastien Valois United States	8	160 0.5×	102 0.4×	64 1.0×	123 1.9×	60 1.1×	11	337
Nikhil Chavan-Dafle United States	9	393 1.3×	236 1.0×	124 1.9×	72 1.1×	93 1.6×	15	444
R. Dillmann Germany	6	291 0.9×	185 0.8×	48 0.7×	46 0.7×	159 2.8×	6	437

Countries citing papers authored by Jonathan Weisz

Since Specialization

Citations

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

Fields of papers citing papers by Jonathan Weisz

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jonathan Weisz

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

All Works

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12 of 12 papers shown

1.

Lew, Thomas, Mario Prats, Jeffrey Bingham, et al.. (2023). Robotic Table Wiping via Reinforcement Learning and Whole-body Trajectory Optimization. 7184–7190. 7 indexed citations

2.

Weisz, Jonathan, et al.. (2017). Assistive grasping with an augmented reality user interface. The International Journal of Robotics Research. 36(5-7). 543–562. 9 indexed citations

3.

Hanheide, Marc, et al.. (2016). Towards automated system and experiment reproduction in robotics. 3298–3305. 5 indexed citations

4.

Weisz, Jonathan, et al.. (2016). RoboBench: Towards sustainable robotics system benchmarking. 3383–3389. 21 indexed citations

5.

Varley, Jacob, et al.. (2015). Generating multi-fingered robotic grasps via deep learning. 4415–4420. 81 indexed citations

6.

Weisz, Jonathan, et al.. (2014). Real-time teleop with non-prehensile manipulation. 2. 1–6. 2 indexed citations

7.

Weisz, Jonathan, et al.. (2014). Single muscle site sEMG interface for assistive grasping. 20. 2172–2178. 2 indexed citations

8.

Weisz, Jonathan, Carmine Elvezio, & Peter K. Allen. (2013). A user interface for assistive grasping. 6492. 3216–3221. 5 indexed citations

9.

Weisz, Jonathan & Peter K. Allen. (2012). Pose error robust grasping from contact wrench space metrics. 557–562. 118 indexed citations

10.

Hammond, Frank L., et al.. (2012). Towards a design optimization method for reducing the mechanical complexity of underactuated robotic hands. 2843–2850. 25 indexed citations

11.

Wang, Long, et al.. (2011). A highly-underactuated robotic hand with force and joint angle sensors. 2011 IEEE/RSJ International Conference on Intelligent Robots and Systems. 1380–1385. 48 indexed citations

12.

Dang, Hao, Jonathan Weisz, & Peter K. Allen. (2011). Blind grasping: Stable robotic grasping using tactile feedback and hand kinematics. 5917–5922. 48 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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