M. Pasotti

866 citations
51 papers · 617 · h-index 12

Impact in

Papers in

    • Advanced Memory and Neural Computing 27
    • Semiconductor materials and devices 10
    • CCD and CMOS Imaging Sensors 8
    • Ferroelectric and Negative Capacitance Devices 8
    • Advancements in Semiconductor Devices and Circuit Design 6
    • Phase-change materials and chalcogenides 17

M. Pasotti

49 papers receiving 580 citations

Peers

M. Pasotti
Comparison fields: 5 of 38
  • Electrical and Electronic Engineering 532
  • Hardware and Architecture 59
  • Mechanical Engineering 186
  • Automotive Engineering 50
  • Biomedical Engineering 148
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Xiaosen Liu United States
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Daeyeon Kim United States
Seokhyeon Jeong United States
Hiroshi Fuketa Japan
Ziyun Li United States
Koichi Ishida Japan
Emre Salman United States
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Citations per field
00.5×1.5×
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Citations per year

Countries citing papers authored by M. Pasotti

Since Specialization
Citations

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

Fields of papers citing papers by M. Pasotti

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside M. Pasotti, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with M. Pasotti Line = papers co-authored together M. Pasotti links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 51 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2003198
2 201057
3 200527
4
Power efficient charge pump in deep submicron standard CMOS technology
200126
5 201025
6 202319
7 200619
8 200217
9 201814
10 202413
11 202112
12 201311
13 202210
14 200510
15 200610
16 200810
17 20229
18 20039
19 20179
20 20229

About M. Pasotti

M. Pasotti is a scholar working on Electrical and Electronic Engineering, Materials Chemistry, Biomedical Engineering, Hardware and Architecture and Artificial Intelligence, having authored 51 papers that have together received 617 indexed citations. Recurring topics across this work include Advanced Memory and Neural Computing (27 papers), Phase-change materials and chalcogenides (17 papers), Semiconductor materials and devices (10 papers), Analog and Mixed-Signal Circuit Design (8 papers), CCD and CMOS Imaging Sensors (8 papers), Ferroelectric and Negative Capacitance Devices (8 papers), Neural Networks and Reservoir Computing (6 papers) and Advancements in Semiconductor Devices and Circuit Design (6 papers). The work is most often cited by research in Electrical and Electronic Engineering (532 citations), Hardware and Architecture (59 citations), Mechanical Engineering (186 citations), Automotive Engineering (50 citations) and Biomedical Engineering (148 citations). M. Pasotti has collaborated with scholars based in Italy, Switzerland and India. Frequent co-authors include P.L. Rolandi, A. Cabrini, G. Torelli, Eleonora Franchi Scarselli, R. Canegallo, Massimo Borghi, P. Zuliani, Roberto Bez, Paolo Mattavelli and Roberto Gastaldi. Their work appears in journals such as IEEE Journal of Solid-State Circuits, IEEE Transactions on Electron Devices, IEEE Transactions on Circuits & Systems II Express Briefs, IEEE Transactions on Semiconductor Manufacturing and Sensors.

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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