Kazuto TAKASHIMA

1.1k total citations
71 papers, 883 citations indexed

About

Kazuto TAKASHIMA is a scholar working on Biomedical Engineering, Polymers and Plastics and Surgery. According to data from OpenAlex, Kazuto TAKASHIMA has authored 71 papers receiving a total of 883 indexed citations (citations by other indexed papers that have themselves been cited), including 47 papers in Biomedical Engineering, 28 papers in Polymers and Plastics and 16 papers in Surgery. Recurrent topics in Kazuto TAKASHIMA's work include Advanced Sensor and Energy Harvesting Materials (30 papers), Polymer composites and self-healing (22 papers) and Dielectric materials and actuators (20 papers). Kazuto TAKASHIMA is often cited by papers focused on Advanced Sensor and Energy Harvesting Materials (30 papers), Polymer composites and self-healing (22 papers) and Dielectric materials and actuators (20 papers). Kazuto TAKASHIMA collaborates with scholars based in Japan, United Kingdom and United States. Kazuto TAKASHIMA's co-authors include Toshiharu Mukai, Jonathan Rossiter, Ken IKEUCHI, Kiyoshi Yoshinaka, Peter Walters, Fabrizio Scarpa, Toshiro Noritsugu, Koji Mori, Satoshi Horie and Kenji Ishida and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and ACS Applied Materials & Interfaces.

In The Last Decade

Kazuto TAKASHIMA

65 papers receiving 849 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kazuto TAKASHIMA Japan 15 550 273 240 198 135 71 883
Zain Khalpey United States 6 927 1.7× 313 1.1× 193 0.8× 256 1.3× 52 0.4× 10 1.1k
Yueying Yang China 12 723 1.3× 319 1.2× 105 0.4× 104 0.5× 68 0.5× 17 1.1k
Trung Thien Hoang Australia 16 757 1.4× 246 0.9× 53 0.2× 94 0.5× 19 0.1× 56 904
Elizabeth A. Friis United States 16 242 0.4× 324 1.2× 122 0.5× 412 2.1× 99 0.7× 47 1.0k
Saleh Gharaie Australia 14 458 0.8× 238 0.9× 98 0.4× 56 0.3× 31 0.2× 29 703
Mai Thanh Thai Australia 16 717 1.3× 224 0.8× 58 0.2× 91 0.5× 13 0.1× 40 818
Young Choi United States 22 247 0.4× 375 1.4× 39 0.2× 63 0.3× 26 0.2× 66 1.3k
Takashi Isoyama Japan 13 1.2k 2.3× 94 0.3× 363 1.5× 224 1.1× 92 0.7× 102 1.5k
Shaghayegh Shajari Canada 10 295 0.5× 167 0.6× 124 0.5× 33 0.2× 109 0.8× 19 655
Chunping Xiang China 12 457 0.8× 463 1.7× 267 1.1× 25 0.1× 97 0.7× 29 982

Countries citing papers authored by Kazuto TAKASHIMA

Since Specialization
Citations

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

Fields of papers citing papers by Kazuto TAKASHIMA

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kazuto TAKASHIMA

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

All Works

20 of 20 papers shown
1.
TAKASHIMA, Kazuto, Makoto Ohta, Kiyoshi Yoshinaka, Toshikatsu Washio, & Kiyoyuki Chinzei. (2024). Methods for Evaluating Friction between Intravascular Device and Vascular Biomodel. Tribology online. 19(1). 42–54. 2 indexed citations
2.
TAKASHIMA, Kazuto, et al.. (2024). Motion Evaluation of Variable-Stiffness Link Based on Shape-Memory Alloy and Jamming Transition Phenomenon. Journal of Robotics and Mechatronics. 36(1). 181–189. 1 indexed citations
3.
TAKASHIMA, Kazuto, et al.. (2024). Development and Application of Shape-Memory Polymer and Alloy Composite Sheets. Journal of Robotics and Mechatronics. 36(3). 769–778. 1 indexed citations
4.
TAKASHIMA, Kazuto, et al.. (2024). Characterization of Catheter-Type Tactile Sensor Using Polyvinylidene Fluoride (PVDF) Film. Journal of Robotics and Mechatronics. 36(4). 899–908. 1 indexed citations
5.
TAKASHIMA, Kazuto, et al.. (2023). Enhancement in Capacitance of Ionic Type of EAP-Based Strain Sensors. Sensors. 23(23). 9400–9400. 2 indexed citations
6.
TAKASHIMA, Kazuto, et al.. (2023). Variable-Sensitivity Force Sensor Based on Structural Modification. Sensors. 23(4). 2077–2077. 1 indexed citations
7.
8.
TAKASHIMA, Kazuto, et al.. (2022). Tear strength estimation of electroactive polymer-based strain sensors. 82–82. 2 indexed citations
9.
Pandey, Shyam, et al.. (2022). Fabrication, Characterization and Modelling of the Fabric Electrode-Based Highly Stretchable Capacitive Strain Sensor. SSRN Electronic Journal. 1 indexed citations
10.
TAKASHIMA, Kazuto, et al.. (2022). Fabrication and Evaluation of Catheter-Type Tactile Sensor Composed of Two Polyvinylidene Fluoride Films. 1165–1170. 1 indexed citations
11.
TAKASHIMA, Kazuto, et al.. (2021). Characterization of variable-sensitivity force sensor using stiffness change of shape-memory polymer based on temperature. ROBOMECH Journal. 8(1). 6 indexed citations
12.
TAKASHIMA, Kazuto, Ryo Miyazaki, & Toshiharu Mukai. (2021). Surface Shape Changeable Tactile Sensor Using Shape-Memory Polymer. Society of Instrument and Control Engineers of Japan. 1169–1174. 5 indexed citations
13.
TAKASHIMA, Kazuto, et al.. (2021). Characteristics of Pneumatic Artificial Rubber Muscle Using Two Shape-Memory Polymer Sheets. Journal of Robotics and Mechatronics. 33(3). 653–664. 11 indexed citations
14.
TAKASHIMA, Kazuto, et al.. (2019). Application of Tactile Sensor Using Shape-memory Polymer to Robot Arm. Transactions of the Society of Instrument and Control Engineers. 55(1). 25–34. 1 indexed citations
15.
TAKASHIMA, Kazuto, Mikihito Takenaka, & Toshiharu Mukai. (2012). Numerical Analysis of Palpation in vivo Using Tactile Sensor Composed of Organic Ferroelectrics. Journal of the Robotics Society of Japan. 30(2). 195–204. 4 indexed citations
16.
TAKASHIMA, Kazuto, et al.. (2011). Development of curved type pneumatic artificial rubber muscle using shape-memory polymer. Bristol Research (University of Bristol). 1691–1695. 11 indexed citations
17.
TAKASHIMA, Kazuto, Nan Zhang, Toshiharu Mukai, & Shijie Guo. (2010). Fundamental Study of a Position-keeping Module Using a Shape-memory Polymer. Journal of the Robotics Society of Japan. 28(7). 905–912. 7 indexed citations
18.
TAKASHIMA, Kazuto, Jonathan Rossiter, & Toshiharu Mukai. (2010). Development of a McKibben artificial muscle using a shape-memory polymer. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 7644. 76440H–76440H.
19.
TAKASHIMA, Kazuto, et al.. (2007). Development of Computer-Based Simulator for Catheter Navigation in Blood Vessels (2nd Report, Evaluation of Torquability of Guidewire). TRANSACTIONS OF THE JAPAN SOCIETY OF MECHANICAL ENGINEERS Series C. 73(735). 2988–2995. 8 indexed citations
20.
Mizuta, Haruo, et al.. (1992). Effects of enforced exercise on biomechanical properties of the anterior cruciate ligament of bipedal rats.. PubMed. 66(11). 1146–55. 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.

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