N. Guerrini

1.4k citations
39 papers · 995 · h-index 15

Impact in

Papers in

N. Guerrini

36 papers receiving 931 citations

Peers

N. Guerrini
Comparison fields: 5 of 58
  • Structural Biology 82
  • Biomedical Engineering 704
  • Electrical and Electronic Engineering 793
  • Bioengineering 62
  • Surfaces, Coatings and Films 64
Replace Niels Quack with:
Niels Quack Switzerland
S. Mendis United States
Andreas Hofmann Germany
Richard Hornsey Canada
Hakaru Kyuragi Japan
Bedabrata Pain United States
Christian Boit Germany
Sabrina E. Kemeny United States
Boyd Fowler United States
T. Ernst France
N. Guerrini relative to Niels Quack Switzerland Niels Quack's profile →
Citations per field
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Niels Quack · 1×
Citations per year

Countries citing papers authored by N. Guerrini

Since Specialization
Citations

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

Fields of papers citing papers by N. Guerrini

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside N. Guerrini, 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 N. Guerrini Line = papers co-authored together N. Guerrini links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 39 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2004344
2 200990
3 200368
4 200558
5 200854
6 200839
7 200138
8 201134
9 200432
10 201130
11 200729
12 200927
13 200823
14 200420
15 202118
16 200210
17 20079
18 20068
19 20088
20 20108

About N. Guerrini

N. Guerrini is a scholar working on Electrical and Electronic Engineering, Biomedical Engineering, Nuclear and High Energy Physics, Radiation and Cellular and Molecular Neuroscience, having authored 39 papers that have together received 995 indexed citations. Recurring topics across this work include Analog and Mixed-Signal Circuit Design (14 papers), CCD and CMOS Imaging Sensors (12 papers), Particle Detector Development and Performance (8 papers), Radio Frequency Integrated Circuit Design (7 papers), Radiation Detection and Scintillator Technologies (5 papers), Low-power high-performance VLSI design (5 papers), Gas Sensing Nanomaterials and Sensors (5 papers) and Analytical Chemistry and Sensors (4 papers). The work is most often cited by research in Structural Biology (82 citations), Biomedical Engineering (704 citations), Electrical and Electronic Engineering (793 citations), Bioengineering (62 citations) and Surfaces, Coatings and Films (64 citations). N. Guerrini has collaborated with scholars based in Italy, United Kingdom and Germany. Frequent co-authors include Giuseppe Ferri, R. Turchetta, Richard A. Henderson, A.R. Faruqi, Vincenzo Stornelli, Greg McMullan, Giuseppe Scotti, Alessandro Trifiletti, Andrea De Marcellis and Alan M. Jacobs. Their work appears in journals such as Analog Integrated Circuits and Signal Processing, Journal of Instrumentation, Nuclear Instruments and Methods in Physics Research Section A Accelerators Spectrometers Detectors and Associated Equipment, Electronics Letters and Sensors and Actuators B Chemical.

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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