Rafaella Fiorelli

517 total citations
33 papers, 359 citations indexed

About

Rafaella Fiorelli is a scholar working on Electrical and Electronic Engineering, Biomedical Engineering and Cellular and Molecular Neuroscience. According to data from OpenAlex, Rafaella Fiorelli has authored 33 papers receiving a total of 359 indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Electrical and Electronic Engineering, 17 papers in Biomedical Engineering and 7 papers in Cellular and Molecular Neuroscience. Recurrent topics in Rafaella Fiorelli's work include Radio Frequency Integrated Circuit Design (18 papers), Analog and Mixed-Signal Circuit Design (16 papers) and Neuroscience and Neural Engineering (7 papers). Rafaella Fiorelli is often cited by papers focused on Radio Frequency Integrated Circuit Design (18 papers), Analog and Mixed-Signal Circuit Design (16 papers) and Neuroscience and Neural Engineering (7 papers). Rafaella Fiorelli collaborates with scholars based in Spain, Uruguay and Sri Lanka. Rafaella Fiorelli's co-authors include Fernando Silveira, E. Peralías, Carlos Galup‐Montoro, Alfredo Arnaud, Á. Rodríguez‐Vázquez, A. Rueda, Manuel Delgado‐Restituto, José L. Huertas, Manuel J. Barragán and Gildas Léger and has published in prestigious journals such as IEEE Journal of Solid-State Circuits, IEEE Transactions on Microwave Theory and Techniques and Electronics Letters.

In The Last Decade

Rafaella Fiorelli

29 papers receiving 346 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Rafaella Fiorelli Spain 11 321 161 62 52 24 33 359
Dipankar Pal India 13 393 1.2× 282 1.8× 66 1.1× 28 0.5× 29 1.2× 55 453
Jiayoon Ru China 9 270 0.8× 140 0.9× 37 0.6× 32 0.6× 25 1.0× 16 319
Jader A. De Lima Brazil 10 257 0.8× 178 1.1× 30 0.5× 10 0.2× 18 0.8× 47 307
E.J. Brauer United States 8 290 0.9× 193 1.2× 68 1.1× 15 0.3× 43 1.8× 21 324
Jörg Schreiter Germany 8 397 1.2× 81 0.5× 31 0.5× 15 0.3× 25 1.0× 16 463
G. Serrano United States 11 332 1.0× 265 1.6× 27 0.4× 28 0.5× 5 0.2× 22 370
Nima Maghari United States 15 678 2.1× 601 3.7× 107 1.7× 77 1.5× 11 0.5× 73 741
Q. Huang Switzerland 9 320 1.0× 133 0.8× 35 0.6× 13 0.3× 8 0.3× 21 350
Rishikesh Pandey India 12 402 1.3× 230 1.4× 79 1.3× 9 0.2× 17 0.7× 58 423
Xingyuan Tong China 11 418 1.3× 375 2.3× 123 2.0× 16 0.3× 27 1.1× 76 469

Countries citing papers authored by Rafaella Fiorelli

Since Specialization
Citations

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

Fields of papers citing papers by Rafaella Fiorelli

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Rafaella Fiorelli

This figure shows the co-authorship network connecting the top 25 collaborators of Rafaella Fiorelli. A scholar is included among the top collaborators of Rafaella Fiorelli 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 Rafaella Fiorelli. Rafaella Fiorelli 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.
Fiorelli, Rafaella, E. Peralías, Akash Kumar, et al.. (2023). CMOS Front End for Interfacing Spin-Hall Nano-Oscillators for Neuromorphic Computing in the GHz Range. Electronics. 12(1). 230–230.
2.
Delgado‐Restituto, Manuel, et al.. (2020). A Sub-$\mu$ W Reconfigurable Front-End for Invasive Neural Recording That Exploits the Spectral Characteristics of the Wideband Neural Signal. IEEE Transactions on Circuits and Systems I Regular Papers. 67(5). 1426–1437. 16 indexed citations
3.
Fiorelli, Rafaella, et al.. (2019). A Sub-µW Reconfigurable Front-End for Invasive Neural Recording. 65. 85–88. 2 indexed citations
4.
Fiorelli, Rafaella, et al.. (2019). Normalized Nonlinear Semiempirical MOST Model Used in Monolithic RF Class A-to-C PAs. Circuits Systems and Signal Processing. 39(6). 2796–2821. 1 indexed citations
5.
6.
Passos, Fábio, E. Roca, J. Sieiro, et al.. (2019). A Multilevel Bottom-Up Optimization Methodology for the Automated Synthesis of RF Systems. IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems. 39(3). 560–571. 21 indexed citations
7.
8.
Delgado‐Restituto, Manuel, et al.. (2016). A 76nW, 4kS/s 10-bit SAR ADC with offset cancellation for biomedical applications. 7. 421–424. 7 indexed citations
9.
Fiorelli, Rafaella, et al.. (2015). Effects of capacitors non-idealities in un-even split-capacitor array SAR ADCs. DIGITAL.CSIC (Spanish National Research Council (CSIC)). 1–4. 9 indexed citations
10.
Fiorelli, Rafaella, Fernando Silveira, A. Rueda, & E. Peralías. (2012). Semi-empirical model of MOST and passive devices focused on narrowband RF blocks. idUS (Universidad de Sevilla). 1 indexed citations
11.
Fiorelli, Rafaella, E. Peralías, & Fernando Silveira. (2011). LC-VCO Design Optimization Methodology Based on the $g_m/I_D$ Ratio for Nanometer CMOS Technologies. IEEE Transactions on Microwave Theory and Techniques. 59(7). 1822–1831. 45 indexed citations
12.
Fiorelli, Rafaella, et al.. (2011). 2.4-GHz single-ended input low-power low-voltage active front-end for ZigBee applications in 90 nm CMOS. DIGITAL.CSIC (Spanish National Research Council (CSIC)). 14 indexed citations
13.
Barragán, Manuel J., Rafaella Fiorelli, Gildas Léger, A. Rueda, & José L. Huertas. (2011). Improving the Accuracy of RF Alternate Test Using Multi-VDD Conditions: Application to Envelope-Based Test of LNAs. DIGITAL.CSIC (Spanish National Research Council (CSIC)). 27. 359–364. 13 indexed citations
14.
Fiorelli, Rafaella, et al.. (2010). On-chip characterisation of RF systems based on envelope response analysis. Electronics Letters. 46(1). 36–38. 9 indexed citations
15.
Fiorelli, Rafaella, Fernando Silveira, E. Peralías, et al.. (2008). A 2.4GHz LNA in a 90-nm CMOS technology designed with ACM model. 70–75. 1 indexed citations
16.
Fiorelli, Rafaella & Fernando Silveira. (2008). Common gate LNA design space exploration in all inversion regions. 119–122. 11 indexed citations
17.
Barboni, Leonardo, Rafaella Fiorelli, & Fernando Silveira. (2006). A Tool for Design Exploration and Power Optimization of CMOS RF Circuits Blocks. 1. 2961–2964. 4 indexed citations
18.
Arnaud, Alfredo, Rafaella Fiorelli, & Carlos Galup‐Montoro. (2005). On the design of very small transconductance OTAs with reduced input offset. 15–15. 2 indexed citations
19.
Arnaud, Alfredo, Rafaella Fiorelli, & Carlos Galup‐Montoro. (2005). On the Design of Very Small Transconductance OTAs with Reduced Input Offset. 1. 15–20. 1 indexed citations
20.
Fiorelli, Rafaella. (2005). Low Power Integrated LC Voltage Controlled Oscillator in CMOS Technology at 900MHz. LA Referencia (Red Federada de Repositorios Institucionales de Publicaciones Científicas).

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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