María C. Paiva

3.7k total citations
104 papers, 2.9k citations indexed

About

María C. Paiva is a scholar working on Materials Chemistry, Polymers and Plastics and Biomedical Engineering. According to data from OpenAlex, María C. Paiva has authored 104 papers receiving a total of 2.9k indexed citations (citations by other indexed papers that have themselves been cited), including 51 papers in Materials Chemistry, 42 papers in Polymers and Plastics and 41 papers in Biomedical Engineering. Recurrent topics in María C. Paiva's work include Carbon Nanotubes in Composites (37 papers), Graphene research and applications (23 papers) and Graphene and Nanomaterials Applications (15 papers). María C. Paiva is often cited by papers focused on Carbon Nanotubes in Composites (37 papers), Graphene research and applications (23 papers) and Graphene and Nanomaterials Applications (15 papers). María C. Paiva collaborates with scholars based in Portugal, Bulgaria and Germany. María C. Paiva's co-authors include J. A. Covas, C. A. Bernardo, Raúl Fangueiro, Sohel Rana, Shama Parveen, Natália M. Alves, Michel Nardin, Magda Silva, M. Fernanda R. P. Proença and Ridha Ben Cheikh and has published in prestigious journals such as SHILAP Revista de lepidopterología, Nano Letters and ACS Nano.

In The Last Decade

María C. Paiva

101 papers receiving 2.9k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
María C. Paiva Portugal 28 1.1k 997 827 652 639 104 2.9k
Luigi Vertuccio Italy 35 1.5k 1.4× 1.5k 1.5× 1.0k 1.2× 742 1.1× 472 0.7× 122 3.5k
Dong Xiang China 30 690 0.6× 1.4k 1.4× 1.7k 2.1× 665 1.0× 303 0.5× 198 3.3k
Jun Lei China 39 1.3k 1.2× 1.8k 1.8× 1.3k 1.6× 461 0.7× 908 1.4× 170 4.4k
Éric Dantras France 30 893 0.8× 1.2k 1.2× 927 1.1× 593 0.9× 338 0.5× 123 2.6k
Carlo Naddeo Italy 30 806 0.7× 1.5k 1.5× 422 0.5× 437 0.7× 435 0.7× 86 2.4k
Young-Bin Park South Korea 31 969 0.9× 845 0.8× 999 1.2× 683 1.0× 200 0.3× 113 3.0k
Jianhui Qiu Japan 31 759 0.7× 1.7k 1.7× 1.1k 1.3× 590 0.9× 1.1k 1.7× 216 3.8k
Marilyn L. Minus United States 30 1.6k 1.5× 1.2k 1.2× 805 1.0× 1.1k 1.7× 590 0.9× 62 3.3k
Junrong Yu China 35 1.7k 1.5× 1.9k 1.9× 1.5k 1.8× 1.0k 1.6× 664 1.0× 193 4.8k
Jiang Li China 35 1.1k 1.0× 1.5k 1.5× 900 1.1× 596 0.9× 791 1.2× 155 4.0k

Countries citing papers authored by María C. Paiva

Since Specialization
Citations

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

Fields of papers citing papers by María C. Paiva

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by María C. Paiva. 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 María C. Paiva. The network helps show where María C. Paiva may publish in the future.

Co-authorship network of co-authors of María C. Paiva

This figure shows the co-authorship network connecting the top 25 collaborators of María C. Paiva. A scholar is included among the top collaborators of María C. Paiva 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 María C. Paiva. María C. Paiva 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.
Paiva, María C., et al.. (2025). Magnetic Actuation Under DC and AC Fields of Thermoplastic Polyurethane With Strontium Hexaferrite. Advanced Materials Technologies. 10(13).
2.
Durães, Nelson, et al.. (2025). Magnetic Field-Assisted Orientation and Positioning of Magnetite for Flexible and Electrically Conductive Sensors. Micromachines. 16(1). 68–68. 2 indexed citations
3.
Peixoto, Daniela, et al.. (2025). Mussel-Inspired Hydrogels Incorporating Graphite Derivatives for Soft Tissue Regeneration. Nanomaterials. 15(4). 276–276.
4.
Paiva, María C., et al.. (2024). High-Performance PEEK/MWCNT Nanocomposites: Combining Enhanced Electrical Conductivity and Nanotube Dispersion. Polymers. 16(5). 583–583. 5 indexed citations
5.
Oliveira, Daniel V., et al.. (2024). Multi-scale experimental investigation on the structural behaviour of novel nanocomposite/natural textile-reinforced mortars. Construction and Building Materials. 444. 137798–137798. 3 indexed citations
6.
Fangueiro, Raúl, María C. Paiva, Daniel Ribeiro, et al.. (2023). Experimental Thermal Behavior of Fibrous Structures for High-Performance Heat Resistant Fire Curtains. Energies. 16(5). 2426–2426. 6 indexed citations
7.
Silva, Magda, Daniela Peixoto, Márcia T. Rodrigues, et al.. (2023). Biocompatible 3D-Printed Tendon/Ligament Scaffolds Based on Polylactic Acid/Graphite Nanoplatelet Composites. Nanomaterials. 13(18). 2518–2518. 10 indexed citations
8.
Pereira, M.F.C., et al.. (2023). Development of MWCNT/Magnetite Flexible Triboelectric Sensors by Magnetic Patterning. Polymers. 15(13). 2870–2870. 4 indexed citations
9.
Lopes, M.A., et al.. (2022). Poly(lactic acid) composites with few layer graphene produced by noncovalent chemistry. Polymer Composites. 43(11). 8409–8425. 8 indexed citations
10.
Li, Yilong, et al.. (2021). Polylactic Acid/Carbon Nanoparticle Composite Filaments for Sensing. Applied Sciences. 11(6). 2580–2580. 15 indexed citations
11.
Figueiredo, Hugo, et al.. (2021). Rheologically Assisted Design of Conductive Adhesives for Stencil Printing on PCB. Materials. 14(24). 7734–7734. 7 indexed citations
12.
Silva, Magda, Hugo Gonçalves, Ana C. Vale, et al.. (2021). Poly(Lactic Acid)/Graphite Nanoplatelet Nanocomposite Filaments for Ligament Scaffolds. Nanomaterials. 11(11). 2796–2796. 12 indexed citations
13.
Paiva, María C., et al.. (2021). Development of electrically conductive polymer nanocomposites for the automotive cable industry. Polímeros. 31(2). 2 indexed citations
14.
Vale, Ana C., et al.. (2020). 3D‐printed cryomilled poly(ε‐caprolactone)/graphene composite scaffolds for bone tissue regeneration. Journal of Biomedical Materials Research Part B Applied Biomaterials. 109(7). 961–972. 28 indexed citations
15.
Silva, Magda, Fernando Ferreira, Natália M. Alves, & María C. Paiva. (2020). Biodegradable polymer nanocomposites for ligament/tendon tissue engineering. Journal of Nanobiotechnology. 18(1). 23–23. 110 indexed citations
16.
Moura, Duarte, Loïc Hilliou, Beate Krause, et al.. (2020). Mixed Carbon Nanomaterial/Epoxy Resin for Electrically Conductive Adhesives. Journal of Composites Science. 4(3). 105–105. 7 indexed citations
17.
Proença, M. Fernanda R. P., Goreti Pereira, Robert J. Young, et al.. (2018). Water Dispersible Few-Layer Graphene Stabilized by a Novel Pyrene Derivative at Micromolar Concentration. Nanomaterials. 8(9). 675–675. 9 indexed citations
18.
Cheikh, Ridha Ben, et al.. (2018). Production of cellulose nanofibers from Alfa grass and application as reinforcement for polyvinyl alcohol. Plastics Rubber and Composites Macromolecular Engineering. 47(7). 297–305. 13 indexed citations
19.
Dorigato, Andrea, et al.. (2018). Evaluation of the role of carbon nanotubes on the electrical properties of poly(butylene terephthalate) nanocomposites for industrial applications. Journal of Elastomers & Plastics. 51(1). 3–25. 5 indexed citations
20.
Silva, Magda, Natália M. Alves, & María C. Paiva. (2017). Graphene‐polymer nanocomposites for biomedical applications. Polymers for Advanced Technologies. 29(2). 687–700. 72 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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