Jose Barreiros

713 total citations · 1 hit paper
20 papers, 554 citations indexed

About

Jose Barreiros is a scholar working on Electrical and Electronic Engineering, Control and Systems Engineering and Biomedical Engineering. According to data from OpenAlex, Jose Barreiros has authored 20 papers receiving a total of 554 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Electrical and Electronic Engineering, 9 papers in Control and Systems Engineering and 8 papers in Biomedical Engineering. Recurrent topics in Jose Barreiros's work include Tactile and Sensory Interactions (7 papers), Soft Robotics and Applications (5 papers) and Advanced Sensor and Energy Harvesting Materials (5 papers). Jose Barreiros is often cited by papers focused on Tactile and Sensory Interactions (7 papers), Soft Robotics and Applications (5 papers) and Advanced Sensor and Energy Harvesting Materials (5 papers). Jose Barreiros collaborates with scholars based in United States, Brazil and Sweden. Jose Barreiros's co-authors include Robert F. Shepherd, Hedan Bai, Clifford R. Pollock, Shuo Li, Antonio Simões Costa, Artemis Xu, Bart Selman, Yiğit Mengüç, Josef Spjut and Malte Jung and has published in prestigious journals such as Science, Advanced Materials and International Journal of Electrical Power & Energy Systems.

In The Last Decade

Jose Barreiros

19 papers receiving 536 citations

Hit Papers

Stretchable distributed fiber-optic sensors 2020 2026 2022 2024 2020 100 200 300
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.

  1. Stretchable distributed fiber-optic sensors
    2020 363 citations Hedan Bai, Shuo Li et al. Science profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jose Barreiros United States 9 383 217 154 101 66 20 554
Hongyang Shi United States 9 420 1.1× 163 0.8× 140 0.9× 77 0.8× 34 0.5× 30 537
Takahiro Yamashita Japan 13 373 1.0× 327 1.5× 100 0.6× 75 0.7× 24 0.4× 95 694
Jean-Baptiste Chossat Canada 7 491 1.3× 102 0.5× 250 1.6× 99 1.0× 51 0.8× 10 594
Shantonu Biswas Germany 14 515 1.3× 199 0.9× 196 1.3× 271 2.7× 68 1.0× 23 739
Tien Dat Nguyen South Korea 13 403 1.1× 101 0.5× 109 0.7× 147 1.5× 49 0.7× 31 544
R. P. Rocha Portugal 11 275 0.7× 172 0.8× 83 0.5× 55 0.5× 43 0.7× 24 395
Jiangtao Su China 13 463 1.2× 255 1.2× 109 0.7× 146 1.4× 24 0.4× 28 705
Seung-Min Kang South Korea 7 495 1.3× 159 0.7× 154 1.0× 152 1.5× 39 0.6× 28 717
Juntian Qu China 12 444 1.2× 143 0.7× 105 0.7× 184 1.8× 77 1.2× 56 678

Countries citing papers authored by Jose Barreiros

Since Specialization
Citations

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

Fields of papers citing papers by Jose Barreiros

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jose Barreiros

This figure shows the co-authorship network connecting the top 25 collaborators of Jose Barreiros. A scholar is included among the top collaborators of Jose Barreiros 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 Jose Barreiros. Jose Barreiros 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.
2.
Barreiros, Jose, et al.. (2025). Learning contact-rich whole-body manipulation with example-guided reinforcement learning. Science Robotics. 10(105). eads6790–eads6790. 3 indexed citations
3.
Chi, Hyung‐gun, et al.. (2024). Multi-Modal Representation Learning with Tactile Data. 9660–9667. 2 indexed citations
4.
Barreiros, Jose, et al.. (2022). Haptic perception using optoelectronic robotic flesh for embodied artificially intelligent agents. Science Robotics. 7(67). eabi6745–eabi6745. 43 indexed citations
5.
Barreiros, Jose, et al.. (2022). Actuated Materials and Soft Robotics Strategies for Human-Computer Interaction Design. CHI Conference on Human Factors in Computing Systems Extended Abstracts. 1–7. 8 indexed citations
6.
Liu, Zheng, Wenyang Pan, Kaiyang Wang, et al.. (2021). Acoustophoretic Liquefaction for 3D Printing Ultrahigh‐Viscosity Nanoparticle Suspensions. Advanced Materials. 34(7). e2106183–e2106183. 27 indexed citations
7.
Bai, Hedan, et al.. (2020). Stretchable distributed fiber-optic sensors. Science. 370(6518). 848–852. 363 indexed citations breakdown →
8.
Barreiros, Jose, et al.. (2020). Self-sensing Elastomeric Membrane for Haptic Bubble Arrray. 229–236. 10 indexed citations
9.
Meerbeek, Ilse M. Van, Jose Barreiros, Robert F. Shepherd, & Christopher De. (2019). Addressing sensor drift in a proprioceptive optical foam system. 2489. 17–17. 1 indexed citations
10.
11.
Barreiros, Jose, Bryan Peele, Josef Spjut, et al.. (2018). Fluidic Elastomer Actuators for Haptic Interactions in Virtual Reality. IEEE Robotics and Automation Letters. 4(2). 277–284. 22 indexed citations
12.
Shepherd, Robert F., Bryan Peele, Benjamin C. Mac Murray, et al.. (2017). Stretchable transducers for kinesthetic interactions in virtual reality. 1–2. 1 indexed citations
13.
Barreiros, Jose, et al.. (2013). Controle robusto com incerteza paramétrica para um estabilizador de sistema de potência implementado em um sistema de geração de 10KVA. Proceeding Series of the Brazilian Society of Computational and Applied Mathematics. 1 indexed citations
14.
Barreiros, Jose, et al.. (2010). Creational Object-Oriented Design Pattern Applied to the Development of Software Tools for Electric Power Systems Dynamic Simulations. IEEE Latin America Transactions. 8(3). 287–295. 2 indexed citations
15.
Barreiros, Jose, et al.. (2008). Self-tunning Control Methodologies Applied to the Automatic Voltage Control of a Synchronous Generator. IEEE Latin America Transactions. 6(5). 408–418. 2 indexed citations
16.
Barreiros, Jose, et al.. (2006). A robust adaptive LQG/LTR TCSC controller applied to damp power system oscillations. Electric Power Systems Research. 77(8). 956–964. 28 indexed citations
17.
Barreiros, Jose, et al.. (2005). Digital PI fuzzy control strategies applied to an electric microgenerator system. 760–765. 2 indexed citations
18.
Barreiros, Jose, et al.. (2002). Power system stabilizer scheduled by a fuzzy logic based supervisor from a local compensator network. vol.2. 4–4. 2 indexed citations
19.
Barreiros, Jose, et al.. (2002). Generalized predictive power system stabilizer with fuzzy supervision from a local model network. vol.2. 4–4. 1 indexed citations
20.
Barreiros, Jose, et al.. (1998). A self-tuning generalized predictive power system stabilizer. International Journal of Electrical Power & Energy Systems. 20(3). 213–219. 26 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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