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Researcher · STMicroelectronics (Italy) · Italy

Germano Nicollini

Germano Nicollini publishes mostly in Electrical and Electronic Engineering, Biomedical Engineering and Computer Vision and Pattern Recognition, on topics such as Analog and Mixed-Signal Circuit Design, Advancements in PLL and VCO Technologies and Radio Frequency Integrated Circuit Design.

ORCID 0000-0002-9830-2861 OpenAlex
World rank
#4,326,268
of 7,710,434 ranked researchers
Rank in Italy
#146,488
of 242,206
Works
55
Citations
812
Citations per work
14.8
h-index
15
i10-index 21Top 30% in Electrical and Electronic Engineering
Germano Nicollini

What does Germano Nicollini research?

Germano Nicollini's work is mostly in Engineering (81%), Computer Science (7%), Neuroscience (3%).

Physical Sciences: 48 works · 87.8% of their workEngineering: 45 works · 81.1% of their workElectrical and Electronic Engineering: 28 works · 50.0% of their workBiomedical Engineering: 15 works · 27.4% of their workComputational Mechanics: 2 works · 3.7% of their workComputer Science: 4 works · 6.7% of their workComputer Vision and Pattern Recognition: 2 works · 4.3% of their workComputer Networks and Communications: 1 works · 2.4% of their workEverything else: 5 works · 9.2% of their workLife Sciences: 2 works · 3.0% of their workNeuroscience: 2 works · 3.0% of their workCellular and Molecular Neuroscience: 2 works · 3.0% of their workTHEIR WORKGermano Nicollini55works
Life Sciences3%Physical Sciences88%

Their six largest subfields, inside their fields and domains; the grey slice is everything else they publish. The interactive view splits every one of their works down to single topics.

The fields and subfields, with their numbers
    1. Engineering4581.1%
    2. Computer Science46.7%
  2. Everything else59.2%
    1. Neuroscience23.0%
  1. 1Electrical and Electronic Engineering50% of their works
  2. 2Biomedical Engineering27% of their works
  3. 3Computer Vision and Pattern Recognition4% of their works
  4. 4Computational Mechanics4% of their works
  5. 5Cellular and Molecular Neuroscience3% of their works
  6. 6Computer Networks and Communications2% of their works

Research topics

Which keywords describe Germano Nicollini's research?

The keywords of their largest research topics: Delta-Sigma Modulator, CMOS, Low-Power, Neural Recording, Frequency Synthesizer, Phase-Locked Loops, Time-to-Digital Converter and Low-Noise Amplifiers.

Size is their works in the topics tagged with each word, from their 8 largest topics. Each links to the topic it comes from most. The words come from the keyword list OpenAlex gives each topic, not from the text of the papers, so a word can appear that none of the papers uses.

All 19 words, with their numbers
  1. Delta-Sigma Modulator582 topics
  2. CMOS562 topics
  3. Low-Power431 topic
  4. Neural Recording431 topic
  5. Frequency Synthesizer282 topics
  6. Phase-Locked Loops151 topic
  7. Time-to-Digital Converter151 topic
  8. Low-Noise Amplifiers131 topic
  9. Oscillators131 topic
  10. Nanowire Transistors101 topic
  11. Tunnel Field-Effect Transistors101 topic
  12. CMOS Image Sensors81 topic
  13. High-Speed Imaging81 topic
  14. Digital Predistortion71 topic
  15. JPEG200071 topic
  16. RF Power Amplifiers71 topic
  17. Wavelet Compression71 topic
  18. Adaptive Filtering61 topic
  19. Non-Gaussian Signal Processing61 topic

Where does Germano Nicollini work?

Germano Nicollini's main affiliation in the publication record is STMicroelectronics (Italy), Italy.

How many publications and citations does Germano Nicollini have?

OpenAlex counts 55 works and 812 citations for Germano Nicollini, an h-index of 15, ranking #4,326,268 of 7,710,434 researchers worldwide on the quality score.

Ranked on field-normalised citation excellence (50%), output (30%) and citations (20%). Counts come from OpenAlex author records, which occasionally merge different people who share a name or split one person into several.

Papers, co-authors, who cited this work and researchers on the nearest topics have tabs of their own, above. Is this your page? Claim it with your ORCID iD, or request a correction or removal.

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