Thassyo Pinto

461 citations
10 papers · 369 · h-index 7

Impact in

Papers in

Thassyo Pinto

10 papers receiving 367 citations

Peers

Thassyo Pinto
Comparison fields: 5 of 40
  • Biomedical Engineering 334
  • Cognitive Neuroscience 81
  • Condensed Matter Physics 46
  • Mechanical Engineering 105
  • Control and Systems Engineering 64
Replace Artemis Xu with:
Artemis Xu United States
Anastasia Koivikko Finland
Krishna Manaswi Digumarti United Kingdom
Tien Dat Nguyen South Korea
Ilse M. Van Meerbeek United States
Hongyang Shi United States
Feiyang Yuan China
Hee‐Sup Shin United States
Zhiqiu Ye China
Tim Helps United Kingdom
Thassyo Pinto relative to Artemis Xu United States Artemis Xu's profile →
Citations per field
00.5×3.3×
Artemis Xu · 1×
Citations per year

Countries citing papers authored by Thassyo Pinto

Since Specialization
Citations

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

Fields of papers citing papers by Thassyo Pinto

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 14 scholars most cited alongside Thassyo Pinto, 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 Thassyo Pinto Line = papers co-authored together Thassyo Pinto links everyone, so they are left out of the graph.

All Works

10 of 10 papers shown
#Work
1 2019108
2 201994
3 202068
4 201933
5 201729
6 202120
7 201712
8 20183
9 20201
10 20211

About Thassyo Pinto

Thassyo Pinto is a scholar working on Biomedical Engineering, Electrical and Electronic Engineering, Automotive Engineering, Control and Systems Engineering and Bioengineering, having authored 10 papers that have together received 369 indexed citations. Recurring topics across this work include Advanced Sensor and Energy Harvesting Materials (6 papers), Soft Robotics and Applications (4 papers), Gas Sensing Nanomaterials and Sensors (2 papers), Additive Manufacturing and 3D Printing Technologies (2 papers), Analytical Chemistry and Sensors (2 papers), Coastal and Marine Dynamics (1 paper), Advanced Fiber Optic Sensors (1 paper) and Vibration and Dynamic Analysis (1 paper). The work is most often cited by research in Biomedical Engineering (334 citations), Cognitive Neuroscience (81 citations), Condensed Matter Physics (46 citations), Mechanical Engineering (105 citations) and Control and Systems Engineering (64 citations). Thassyo Pinto has collaborated with scholars based in United States. Frequent co-authors include Xiaobo Tan, Hongyang Shi, Chunqi Qian, Chuan Wang, Jinshui Miao, Christopher M. Holbrook, Xinda Qi, Le Cai, Cody Pinger and Nelson Sepúlveda. Their work appears in journals such as Advanced Functional Materials, Smart Materials and Structures, IEEE Robotics and Automation Letters, Soft Robotics and International Journal of Intelligent Robotics and Applications.

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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