Anup Teejo Mathew

631 total citations · 1 hit paper
29 papers, 395 citations indexed

About

Anup Teejo Mathew is a scholar working on Biomedical Engineering, Mechanical Engineering and Control and Systems Engineering. According to data from OpenAlex, Anup Teejo Mathew has authored 29 papers receiving a total of 395 indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Biomedical Engineering, 18 papers in Mechanical Engineering and 11 papers in Control and Systems Engineering. Recurrent topics in Anup Teejo Mathew's work include Soft Robotics and Applications (18 papers), Modular Robots and Swarm Intelligence (13 papers) and Robot Manipulation and Learning (10 papers). Anup Teejo Mathew is often cited by papers focused on Soft Robotics and Applications (18 papers), Modular Robots and Swarm Intelligence (13 papers) and Robot Manipulation and Learning (10 papers). Anup Teejo Mathew collaborates with scholars based in United Arab Emirates, Singapore and France. Anup Teejo Mathew's co-authors include Federico Renda, Frédéric Boyer, Costanza Armanini, Christian Duriez, Soo Jin Adrian Koh, Daniel Feliu-Talegón, Chong Liu, Cesare Stefanini, Irfan Hussain and Chong Liu and has published in prestigious journals such as Journal of the Mechanics and Physics of Solids, The International Journal of Robotics Research and IEEE Transactions on Robotics.

In The Last Decade

Anup Teejo Mathew

24 papers receiving 388 citations

Hit Papers

align trajectories sort by overperformance

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.

Soft Robots Modeling: A Structured Overview

2023 169 citations Costanza Armanini, Frédéric Boyer et al. IEEE Transactions on Robotics profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Anup Teejo Mathew United Arab Emirates	10	334	177	160	51	32	29	395
Costanza Armanini United Arab Emirates	9	395 1.2×	223 1.3×	239 1.5×	97 1.9×	24 0.8×	14	489
Chenghao Yang China	10	324 1.0×	153 0.9×	205 1.3×	48 0.9×	14 0.4×	18	382
Chen Ji China	9	270 0.8×	204 1.2×	100 0.6×	111 2.2×	29 0.9×	23	382
Maurizio Ruggiu Italy	9	216 0.6×	101 0.6×	191 1.2×	17 0.3×	17 0.5×	34	345
Kai Luo China	11	174 0.5×	147 0.8×	174 1.1×	35 0.7×	104 3.3×	36	400
Sergėjus Borodinas Lithuania	10	85 0.3×	87 0.5×	134 0.8×	11 0.2×	19 0.6×	48	306
Kyung-Jo Park South Korea	10	75 0.2×	135 0.8×	184 1.1×	28 0.5×	75 2.3×	28	467
S. Iikura Japan	7	598 1.8×	281 1.6×	306 1.9×	143 2.8×	32 1.0×	20	709
Frederick Largilliere France	2	231 0.7×	91 0.5×	122 0.8×	55 1.1×	5 0.2×	2	261
Jiwen Fang China	12	83 0.2×	150 0.8×	192 1.2×	4 0.1×	37 1.2×	46	349

Countries citing papers authored by Anup Teejo Mathew

Since Specialization

Citations

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

Fields of papers citing papers by Anup Teejo Mathew

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Anup Teejo Mathew. 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 Anup Teejo Mathew. The network helps show where Anup Teejo Mathew may publish in the future.

Co-authorship network of co-authors of Anup Teejo Mathew

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

All Works

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20 of 20 papers shown

Feliu-Talegón, Daniel, et al.. (2025). Advancing Soft Robot Proprioception Through 6D Strain Sensors Embedding. Soft Robotics. 12(4). 465–476. 4 indexed citations

Mathew, Anup Teejo, et al.. (2025). ZodiAq: An Isotropic Flagella-Inspired Soft Underwater Drone for Safe Marine Exploration. Soft Robotics. 12(4). 410–422. 2 indexed citations

Feliu-Talegón, Daniel, et al.. (2025). Actuation Reading Insights: Estimating Shape and Forces in Tendon-Driven Slender Soft Robots. IEEE/ASME Transactions on Mechatronics. 30(6). 7878–7888.

Mathew, Anup Teejo, et al.. (2025). Real-time dynamics of soft manipulators with cross-sectional inflation: application to the octopus muscular hydrostat. Proceedings of the Royal Society A Mathematical Physical and Engineering Sciences. 481(2314).

Mathew, Anup Teejo, Frédéric Boyer, Vincent Lebastard, & Federico Renda. (2025). Analytical derivatives of strain-based dynamic model for hybrid soft-rigid robots. The International Journal of Robotics Research. 45(1). 128–158.

Feliu-Talegón, Daniel, et al.. (2024). Dynamic Shape Estimation of Tendon-Driven Soft Manipulators via Actuation Readings. IEEE Robotics and Automation Letters. 10(1). 780–787. 7 indexed citations

Mathew, Anup Teejo, et al.. (2024). Soft Synergies: Model Order Reduction of Hybrid Soft-Rigid Robots via Optimal Strain Parameterization. IEEE Transactions on Robotics. 41. 1118–1137. 3 indexed citations

Armanini, Costanza, et al.. (2024). Trident: A Multi-Functional Soft Appendage for Underwater Locomotion and Grasping. IEEE Robotics and Automation Letters. 10(1). 436–443. 1 indexed citations

Mathew, Anup Teejo, et al.. (2024). Reduced order modeling of hybrid soft-rigid robots using global, local, and state-dependent strain parameterization. The International Journal of Robotics Research. 44(1). 129–154. 12 indexed citations

10.

Renda, Federico, Anup Teejo Mathew, & Daniel Feliu-Talegón. (2024). Dynamics and Control of Soft Robots With Implicit Strain Parametrization. IEEE Robotics and Automation Letters. 9(3). 2782–2789. 9 indexed citations

11.

Armanini, Costanza, Frédéric Boyer, Anup Teejo Mathew, Christian Duriez, & Federico Renda. (2023). Soft Robots Modeling: A Structured Overview. IEEE Transactions on Robotics. 39(3). 1728–1748. 169 indexed citations breakdown →

12.

Armanini, Costanza, et al.. (2022). Model-Based Design Optimization of Underwater Flagellate Propellers. IEEE Robotics and Automation Letters. 7(4). 10089–10096. 5 indexed citations

13.

Mathew, Anup Teejo, et al.. (2022). CTR DaPP: A Python Application for Design and Path Planning of Variable-strain Concentric Tube Robots. 14–20. 1 indexed citations

14.

Mathew, Anup Teejo, et al.. (2022). SoRoSim: A MATLAB Toolbox for Hybrid Rigid–Soft Robots Based on the Geometric Variable-Strain Approach. IEEE Robotics & Automation Magazine. 30(3). 106–122. 47 indexed citations

15.

Renda, Federico, Costanza Armanini, Anup Teejo Mathew, & Frédéric Boyer. (2022). Geometrically-Exact Inverse Kinematic Control of Soft Manipulators With General Threadlike Actuators’ Routing. IEEE Robotics and Automation Letters. 7(3). 7311–7318. 23 indexed citations

16.

Mathew, Anup Teejo, et al.. (2021). ReSoft Gripper: A reconfigurable soft gripper with monolithic fingers and differential mechanism for versatile and delicate grasping. 372–378. 12 indexed citations

17.

Mathew, Anup Teejo, et al.. (2019). A high energy dielectric-elastomer-amplified piezoelectric (DEAmP) to harvest low frequency motions. Sensors and Actuators A Physical. 294. 61–72. 17 indexed citations

18.

Mathew, Anup Teejo, et al.. (2018). Displacement improvement from variable pre-stretch diaphragm type Dielectric Elastomer Actuator. 545–550. 1 indexed citations

19.

Mathew, Anup Teejo & Soo Jin Adrian Koh. (2018). Maximum energy output of a two-phased Self-Priming Dielectric Elastomer Generator. 1366–1371. 4 indexed citations

20.

Mathew, Anup Teejo, et al.. (2017). Stackable configurations of artificial muscle modules that is continuously-tunable by voltage. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 10163. 101632K–101632K. 7 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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