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This graph maps the connections between all the collaborators of {}'s publications listed on this page.
Each link represents a collaboration on the same publication. The thickness of the link represents the number of collaborations.
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A word cloud is a visual representation of the most frequently used words in a text or a set of texts. The words appear in different sizes, with the size of each word being proportional to its frequency of occurrence in the text. The more frequently a word is used, the larger it appears in the word cloud. This technique allows for a quick visualization of the most important themes and concepts in a text.
In the context of this page, the word cloud was generated from the publications of the author {}. The words in this cloud come from the titles, abstracts, and keywords of the author's articles and research papers. By analyzing this word cloud, you can get an overview of the most recurring and significant topics and research areas in the author's work.
The word cloud is a useful tool for identifying trends and main themes in a corpus of texts, thus facilitating the understanding and analysis of content in a visual and intuitive way.
Abbasipour, M., Kateb, P., Cicoira, F., & Pasini, D. (2023). Stretchable kirigami-inspired conductive polymers for strain sensors applications. Flexible and printed electronics, 8, 024003. Available
Hagler, J., Kim, C.H., Kateb, P., Yeu, J.Y., Gagnon-Lafrenais, N., Gee, E., Audry, S., & Cicoira, F. (2022). Flexible and stretchable printed conducting polymer devices for electrodermal activity measurements. Flexible and Printed Electronics, 7(1), 16 pages. External link
Kateb, P., Fornaciari, A., Ahmadizadeh, C., Shokurov, A., Cicoira, F., & Menon, C. (2024). High-Performance Textile-Based Capacitive Strain Sensors via Enhanced Vapor Phase Polymerization of Pyrrole and Their Application to Machine Learning-Assisted Hand Gesture Recognition. Advanced Intelligent Systems, 202400292 (13 pages). External link
Kim, J., Fan, J., Petrossian, G., Zhou, X., Kateb, P., Gagnon-Lafrenais, N., & Cicoira, F. (2024). Self-healing, stretchable and recyclable polyurethane-PEDOT:PSS conductive blends. Materials Horizons, 2024, 13 pages. Available
Kateb, P., Fan, J., Jinsil, K., Zhou, X., Lodygensky, G. A., & Cicoira, F. (2023). Printable, adhesive, and self-healing dry epidermal electrodes based on PEDOT:PSS and polyurethane diol. Flexible and printed electronics, 8(4), 045006 (14 pages). Available
Kateb, P. (2023). Stretchable Electrodes Using Conductive Polymers for the Detection of Vital Signs in Premature Infants [Master's thesis, Polytechnique Montréal]. Available
Petrossian, G., Kateb, P., Miquet-Westphal, F., & Cicoira, F. (2023). Advances in Electrode Materials for Scalp, Forehead, and Ear EEG: A Mini-Review. ACS Applied Bio Materials, 6(8), 3019-3032. External link
Rossetti, N., Hagler, J.E., Kateb, P., & Cicoira, F. (2021). Neural and electromyography PEDOT electrodes for invasive stimulation and recording. Journal of Materials Chemistry C, 9(23), 7243-7263. External link
Zhou, X., Kateb, P., Fan, J., Kim, J., Lodygensky, G. A., Amilhon, B., Pasini, D., & Cicoira, F. (2023). Conducting polymer films and bioelectrodes combining high adhesion and electro-mechanical self-healing. Journal of Materials Chemistry C, 10 pages. External link
Zhou, X., Kateb, P., Miquet-Westphal, F., Lodygensky, A., & Cicoira, F. (2023). Soft, conductive and anti-freezing conducting polymer organohydrogels. Advanced Sensor Research, 10 pages. External link