Michele Dei

801 total citations
64 papers, 559 citations indexed

About

Michele Dei is a scholar working on Electrical and Electronic Engineering, Biomedical Engineering and Computer Networks and Communications. According to data from OpenAlex, Michele Dei has authored 64 papers receiving a total of 559 indexed citations (citations by other indexed papers that have themselves been cited), including 56 papers in Electrical and Electronic Engineering, 53 papers in Biomedical Engineering and 9 papers in Computer Networks and Communications. Recurrent topics in Michele Dei's work include Analog and Mixed-Signal Circuit Design (37 papers), Advanced MEMS and NEMS Technologies (19 papers) and Advancements in Semiconductor Devices and Circuit Design (19 papers). Michele Dei is often cited by papers focused on Analog and Mixed-Signal Circuit Design (37 papers), Advanced MEMS and NEMS Technologies (19 papers) and Advancements in Semiconductor Devices and Circuit Design (19 papers). Michele Dei collaborates with scholars based in Italy, Spain and United States. Michele Dei's co-authors include Paolo Bruschi, Massimo Piotto, Francisco Serra-Graells, Lluís Terés, Xavier Muñoz‐Berbel, F. Javier del Campo, Carlos Domı́nguez, Cecilia Jiménez‐Jorquera, Giovanni Pennelli and Leire Ruiz‐Rubio and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Access and Sensors.

In The Last Decade

Michele Dei

61 papers receiving 539 citations

Peers

Michele Dei

EEE

BIOEN

CNC

AMPO

Masoud Baghelani Iran

N.S. Dogan United States

Cesare Buffa Italy

Zhenxiang Yi China

Diego Ramı́rez Muñoz Spain

Lienhard Pagel Germany

Sami Sultan Alabsi Malaysia

Roman Beigelbeck Austria

Cédric Quendo France

Chaoyang Xing China

Masoud Baghelani Iran

Michele Dei

604 ×1.5

EEE

534 ×1.4

48 ×0.5

BIOEN

30 ×0.4

CNC

93 ×1.5

AMPO

Citations per year, relative to Michele Dei Michele Dei (= 1×) peers Masoud Baghelani

Countries citing papers authored by Michele Dei

Since Specialization

Citations

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

Fields of papers citing papers by Michele Dei

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michele Dei

This figure shows the co-authorship network connecting the top 25 collaborators of Michele Dei. A scholar is included among the top collaborators of Michele Dei 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 Michele Dei. Michele Dei is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Ria, Andrea, et al.. (2025). Wide-Range Low-Power Low-Voltage Integrated Capacitance-to-Digital Converter for On-Body Sweat-Rate Sensing. IEEE Sensors Journal. 25(6). 10250–10260. 2 indexed citations

Dei, Michele. (2025). Heuristic Enz–Krummenacher–Vittoz (EKV) Model Fitting for Low-Power Integrated Circuit Design: An Open-Source Implementation. Electronics. 14(6). 1162–1162. 1 indexed citations

Piotto, Massimo, et al.. (2025). Averaging Dynamic Element Matching Architectures for R-2R Digital-to-Analog Converters. CINECA IRIS Institutial research information system (University of Pisa). 1–5. 1 indexed citations

Piotto, Massimo, et al.. (2024). Ultralow-Power Inverter-Based Delta-Sigma Modulator for Wearable Applications. IEEE Access. 12. 80009–80019. 10 indexed citations

Dei, Michele, Francesco Gagliardi, & Paolo Bruschi. (2024). Slew-Rate Enhancement Techniques for Switched-Capacitors Fast-Settling Amplifiers: A Review. SHILAP Revista de lepidopterología. 3(2). 98–128. 2 indexed citations

Gagliardi, Francesco & Michele Dei. (2024). Open and Collaborative Dataset for the Classification of Operational Transconductance Amplifiers for Switched-Capacitor Applications. Data. 9(10). 114–114. 1 indexed citations

Piotto, Massimo, et al.. (2024). Static-Linearity Enhancement Techniques for Digital-to-Analog Converters Exploiting Optimal Arrangements of Unit Elements. IEEE Transactions on Very Large Scale Integration (VLSI) Systems. 32(12). 2243–2256. 6 indexed citations

Gagliardi, Francesco, et al.. (2024). Design of Single-Bit Switched-Capacitor ΔΣ Modulators Employing Fast-Settling Techniques. CINECA IRIS Institutial research information system (University of Pisa). 1–7.

Guirado, Gonzalo, et al.. (2023). Ultrasensitive bacterial sensing using a disposable all-in-one amperometric platform with self-noise cancellation. Biosensors and Bioelectronics. 234. 115342–115342. 8 indexed citations

10.

Dei, Michele, et al.. (2022). A 85dB-SNDR 50 kHz bootstrapping-free resistor-less SC Delta-Sigma modulator IP block for PVT-robust low-power ADCs. Integration. 84. 159–170. 2 indexed citations

11.

Piotto, Massimo, et al.. (2020). Energy Efficiency in Slew-Rate Enhanced Single-Stage OTAs for Switched-Capacitor Applications. Journal of Low Power Electronics and Applications. 11(1). 1–1. 5 indexed citations

12.

Dei, Michele, Rosalía Rodríguez‐Rodríguez, Manuel Vázquez‐Carrera, et al.. (2019). Reconfigurable multiplexed point of Care System for monitoring type 1 diabetes patients. Biosensors and Bioelectronics. 136. 38–46. 14 indexed citations

13.

Terés, Lluís, Xavier Muñoz‐Berbel, Cecilia Jiménez‐Jorquera, et al.. (2018). Cost-effective smartphone-based reconfigurable electrochemical instrument for alcohol determination in whole blood samples. Biosensors and Bioelectronics. 117. 736–742. 37 indexed citations

14.

Dei, Michele, et al.. (2016). A calibration-free 96.6-dB-SNDR non-bootstrapped 1.8-V 7.9-mW delta-sigma modulator with class-AB single-stage switched VMAs. CINECA IRIS Institutial research information system (University of Pisa). 61–64. 1 indexed citations

15.

Bruschi, Paolo, Michele Dei, & Massimo Piotto. (2010). An Offset Compensation Method With Low Residual Drift for Integrated Thermal Flow Sensors. IEEE Sensors Journal. 11(5). 1162–1168. 22 indexed citations

16.

Piotto, Massimo, Michele Dei, Giovanni Pennelli, & Paolo Bruschi. (2009). A Miniaturized 2D Solid State Anemometer Based on Thermal Flow Sensors. Procedia Chemistry. 1(1). 1463–1466. 4 indexed citations

17.

Bruschi, Paolo, Michele Dei, & Massimo Piotto. (2008). Single chip sensing of multiple gas flows. CINECA IRIS Institutial research information system (University of Pisa). 115. 242–246. 2 indexed citations

18.

Dei, Michele, et al.. (2007). A Micro Power Capacitive Sensor Readout Channel Based on the Chopper Modulation Technique. CINECA IRIS Institutial research information system (University of Pisa). 84. 113–116. 3 indexed citations

19.

Lazzerini, G. M., Michele Dei, Paolo Bruschi, & Massimo Piotto. (2007). VHDL-AMS modeling of an integrated gas flow sensor readout channel with pressure compensation.. CINECA IRIS Institutial research information system (University of Pisa). 84. 141–144. 1 indexed citations

20.

Hosokawa, Takashi, Michele Dei, Akio Nishida, et al.. (2004). Soft error free, low power and low cost superSRAM with 0.98 /spl mu/m/sup 2/ cell by utilizing existing 0.15 /spl mu/m-DRAM process. 232–233. 5 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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