Yasmin Ansari

897 total citations · 1 hit paper
7 papers, 648 citations indexed

About

Yasmin Ansari is a scholar working on Biomedical Engineering, Control and Systems Engineering and Mechanical Engineering. According to data from OpenAlex, Yasmin Ansari has authored 7 papers receiving a total of 648 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Biomedical Engineering, 6 papers in Control and Systems Engineering and 4 papers in Mechanical Engineering. Recurrent topics in Yasmin Ansari's work include Soft Robotics and Applications (7 papers), Robot Manipulation and Learning (6 papers) and Modular Robots and Swarm Intelligence (4 papers). Yasmin Ansari is often cited by papers focused on Soft Robotics and Applications (7 papers), Robot Manipulation and Learning (6 papers) and Modular Robots and Swarm Intelligence (4 papers). Yasmin Ansari collaborates with scholars based in Italy, United Kingdom and France. Yasmin Ansari's co-authors include Cecilia Laschi, Egidio Falotico, Thomas George Thuruthel, Matteo Cianchetti, Mariangela Manti, Yoan Mollard and Taimoor Hassan and has published in prestigious journals such as IEEE Robotics and Automation Letters, Soft Robotics and International Journal of Advanced Robotic Systems.

In The Last Decade

Yasmin Ansari

7 papers receiving 632 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Control Strategies for Soft Robotic Manipulators: A Survey

2018 459 citations Thomas George Thuruthel, Yasmin Ansari et al. Soft Robotics profile →

Peers

Yasmin Ansari

BE

CSE

ME

CMP

OE

S. M. Hadi Sadati United Kingdom

Costanza Armanini United Arab Emirates

Ali Shiva United Kingdom

Kit-Hang Lee Hong Kong

Zhongkai Zhang China

S. Iikura Japan

M. Csencsits United States

Eulalie Coevoet France

Junghwan Back United Kingdom

Jienan Ding United States

S. M. Hadi Sadati United Kingdom

Yasmin Ansari

500 ×0.9

BE

259 ×0.8

CSE

204 ×0.8

ME

136 ×1.0

CMP

41 ×0.8

OE

Citations per year, relative to Yasmin Ansari Yasmin Ansari (= 1×) peers S. M. Hadi Sadati

Countries citing papers authored by Yasmin Ansari

Since Specialization

Citations

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

Fields of papers citing papers by Yasmin Ansari

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yasmin Ansari

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

All Works

Sort: Min cites: Since: Top N: Style:

7 of 7 papers shown

1.

Thuruthel, Thomas George, Taimoor Hassan, Egidio Falotico, et al.. (2019). Closed loop control of a braided-structure continuum manipulator with hybrid actuation based on learning models. CINECA IRIS Institutional Research Information System (Sant'Anna School of Advanced Studies). 116–122. 4 indexed citations

2.

Ansari, Yasmin, Cecilia Laschi, & Egidio Falotico. (2019). Structured motor exploration for adaptive learning-based tracking in soft robotic manipulators. CINECA IRIS Institutional Research Information System (Sant'Anna School of Advanced Studies). 135. 534–539. 1 indexed citations

3.

Thuruthel, Thomas George, Yasmin Ansari, Egidio Falotico, & Cecilia Laschi. (2018). Control Strategies for Soft Robotic Manipulators: A Survey. Soft Robotics. 5(2). 149–163. 459 indexed citations breakdown →

4.

Ansari, Yasmin, Mariangela Manti, Egidio Falotico, et al.. (2017). Towards the development of a soft manipulator as an assistive robot for personal care of elderly people. International Journal of Advanced Robotic Systems. 14(2). 82 indexed citations

5.

Ansari, Yasmin, Mariangela Manti, Egidio Falotico, Matteo Cianchetti, & Cecilia Laschi. (2017). Multiobjective Optimization for Stiffness and Position Control in a Soft Robot Arm Module. IEEE Robotics and Automation Letters. 3(1). 108–115. 91 indexed citations

6.

Ansari, Yasmin, Egidio Falotico, Matteo Cianchetti, & Cecilia Laschi. (2016). Point-to-point motion controller for soft robotic manipulators. CINECA IRIS Institutional Research Information System (Sant'Anna School of Advanced Studies). 49–54. 5 indexed citations

7.

Ansari, Yasmin, Taimoor Hassan, Mariangela Manti, et al.. (2015). Soft Robotic Technologies for Industrial Applications. CINECA IRIS Institutional Research Information System (Sant'Anna School of Advanced Studies). 35–64. 6 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.

Explore authors with similar magnitude of impact