Maria Pesavento

3.7k total citations
143 papers, 3.1k citations indexed

About

Maria Pesavento is a scholar working on Bioengineering, Analytical Chemistry and Electrical and Electronic Engineering. According to data from OpenAlex, Maria Pesavento has authored 143 papers receiving a total of 3.1k indexed citations (citations by other indexed papers that have themselves been cited), including 59 papers in Bioengineering, 48 papers in Analytical Chemistry and 45 papers in Electrical and Electronic Engineering. Recurrent topics in Maria Pesavento's work include Analytical Chemistry and Sensors (59 papers), Analytical chemistry methods development (44 papers) and Electrochemical Analysis and Applications (37 papers). Maria Pesavento is often cited by papers focused on Analytical Chemistry and Sensors (59 papers), Analytical chemistry methods development (44 papers) and Electrochemical Analysis and Applications (37 papers). Maria Pesavento collaborates with scholars based in Italy, Portugal and Spain. Maria Pesavento's co-authors include Raffaela Biesuz, Giancarla Alberti, Nunzio Cennamo, Luigi Zeni, Antonella Profumo, Girolamo D’Agostino, Daniele Merli, Letizia De Maria, Valeria Amendola and José Luis Cortina and has published in prestigious journals such as SHILAP Revista de lepidopterología, Analytical Chemistry and The Science of The Total Environment.

In The Last Decade

Maria Pesavento

136 papers receiving 3.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Maria Pesavento Italy 32 994 898 829 759 689 143 3.1k
Raffaela Biesuz Italy 28 514 0.5× 656 0.7× 591 0.7× 504 0.7× 567 0.8× 118 2.5k
Ali Mehdinia Iran 41 1.0k 1.0× 787 0.9× 1.7k 2.1× 356 0.5× 810 1.2× 155 4.6k
Athanasios G. Vlessidis Greece 29 542 0.5× 616 0.7× 563 0.7× 311 0.4× 425 0.6× 93 2.6k
Jean‐Jacques Aaron France 27 1.0k 1.0× 833 0.9× 361 0.4× 609 0.8× 907 1.3× 117 4.9k
Rafał Sitko Poland 31 515 0.5× 916 1.0× 1.6k 1.9× 235 0.3× 809 1.2× 116 4.1k
Mitsuko Oshima Japan 27 268 0.3× 504 0.6× 1.0k 1.3× 659 0.9× 640 0.9× 135 2.4k
Mohammad Reza Yaftian Iran 31 602 0.6× 308 0.3× 691 0.8× 366 0.5× 492 0.7× 156 2.9k
Jorge C. Masini Brazil 29 372 0.4× 423 0.5× 661 0.8× 317 0.4× 476 0.7× 129 2.5k
Jiping Ma China 34 715 0.7× 941 1.0× 1.6k 1.9× 217 0.3× 420 0.6× 103 4.2k
Beata Zawisza Poland 27 416 0.4× 760 0.8× 1.3k 1.5× 189 0.2× 644 0.9× 67 3.1k

Countries citing papers authored by Maria Pesavento

Since Specialization
Citations

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

Fields of papers citing papers by Maria Pesavento

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Maria Pesavento

This figure shows the co-authorship network connecting the top 25 collaborators of Maria Pesavento. A scholar is included among the top collaborators of Maria Pesavento 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 Maria Pesavento. Maria Pesavento 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.
Arcadio, Francesco, Ricardo Oliveira, Maria Pesavento, et al.. (2025). Silica Optical Fibers Connected via a Micro MIP-Core Waveguide to Build Optical-Chemical Sensors. Chemosensors. 13(4). 139–139. 5 indexed citations
2.
Arcadio, Francesco, Ricardo Oliveira, Maria Pesavento, et al.. (2025). High sensitive optical-chemical sensors based on optical fibers in a reflection scheme combined with C-shaped waveguides of MIP-microbeads. Talanta. 297(Pt A). 128647–128647.
3.
Arcadio, Francesco, Ricardo Oliveira, Maria Pesavento, et al.. (2025). An Extrinsic Optical Fiber Sensor Probe with Micrometer Size via a C-Shaped Waveguide with a Core of MIP. Sensors. 25(10). 3250–3250. 1 indexed citations
4.
5.
Arcadio, Francesco, Luigi Zeni, Maria Pesavento, et al.. (2024). Optical Waveguides Based on a Core of Molecularly Imprinted Polymers: An Efficient Approach for Chemical Sensing. IEEE Sensors Journal. 24(17). 27411–27420. 6 indexed citations
6.
Maria, Letizia De, Francesco Arcadio, Daniele Merli, et al.. (2024). An Optical Device Based on a Chemical Chip and Surface Plasmon Platform for 2-Furaldehyde Detection in Insulating Oil. Sensors. 24(16). 5261–5261.
7.
Arcadio, Francesco, et al.. (2024). Splitter-Based Sensors Realized via POFs Coupled by a Micro-Trench Filled with a Molecularly Imprinted Polymer. Sensors. 24(12). 3928–3928. 6 indexed citations
8.
Cennamo, Nunzio, Francesco Arcadio, Aldo Minardo, et al.. (2023). Analysis of Low-Cost Inkjet-Printed Optical Platforms Covered by Molecularly Imprinted Polymers to Detect Furfural in Water. IEEE Sensors Journal. 23(19). 22169–22179. 4 indexed citations
9.
Alberti, Giancarla, Francesco Arcadio, Maria Pesavento, et al.. (2023). MIP-Assisted 3-Hole POF Chip Faced with SPR-POF Sensor for Glyphosate Detection. Chemosensors. 11(7). 414–414. 11 indexed citations
10.
Alberti, Giancarla, et al.. (2022). Detection of 2-Furaldehyde in Milk by MIP-Based POF Chips Combined with an SPR-POF Sensor. Sensors. 22(21). 8289–8289. 11 indexed citations
11.
Cennamo, Nunzio, Francesco Arcadio, Aldo Minardo, et al.. (2022). Molecularly Imprinted Polymers and Inkjet-Printer technology to develop Optical-Chemical Sensors. 2. 1–5. 3 indexed citations
12.
Bilro, Lúcia, et al.. (2016). Refractive Index Sensing with D-Shaped Plastic Optical Fibers for Chemical and Biochemical Applications. Sensors. 16(12). 2119–2119. 53 indexed citations
13.
Bilro, Lúcia, et al.. (2016). Optimization of an Evanescent Field Sensor based on D-Shaped Plastic Optical Fiber for Chemical and Biochemical Sensing. Procedia Engineering. 168. 810–813. 1 indexed citations
14.
Cennamo, Nunzio, Luigi Zeni, Letizia De Maria, Girolamo D’Agostino, & Maria Pesavento. (2014). Optical chemical sensor for oil-filled power transformer. 1–3. 5 indexed citations
15.
D’Agostino, Girolamo, Giancarla Alberti, Raffaela Biesuz, & Maria Pesavento. (2006). Potentiometric sensor for atrazine based on a molecular imprinted membrane. Biosensors and Bioelectronics. 22(1). 145–152. 84 indexed citations
16.
Pesavento, Maria, Raffaela Biesuz, Giancarla Alberti, & Michela Sturini. (2003). Characterization of the sorption of uranium(VI) on different complexing resins. Analytical and Bioanalytical Chemistry. 376(7). 1023–1029. 24 indexed citations
17.
Pesavento, Maria, Raffaela Biesuz, & Giancarla Alberti. (1999). Characterization of the sorption equilibria of nickel(II) on two complexing resins by the Gibbs-Donnan model. Annali di Chimica. 89. 137–146. 4 indexed citations
18.
Pesavento, Maria, et al.. (1998). イミドジ酢酸基を有する樹脂を用いたキレート滴定による淡水試料中のCu(II)及びCd(II)の全量及び遊離量の定量. Annali di Chimica. 88. 139–151. 5 indexed citations
19.
Pesavento, Maria, Antonella Profumo, & Raffaela Biesuz. (1989). Exchange of protons between some poly(amido-amine) resins and aqueous solutions: A thermodynamic interpretation. Reactive Polymers. 11. 37–45. 2 indexed citations
20.

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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