A. Pieracci

434 citations
20 papers · 317 · h-index 9

Impact in

Papers in

A. Pieracci

20 papers receiving 287 citations

Peers

A. Pieracci
Comparison fields: 5 of 53
  • Human-Computer Interaction 20
  • Computer Networks and Communications 80
  • Electrical and Electronic Engineering 195
  • Computer Vision and Pattern Recognition 62
  • Biomedical Engineering 100
Replace Hua Fan with:
Hua Fan China
Mehrdad Hessar United States
Gwo‐Yun Lee Taiwan
Aziz Benlarbi‐Delaï France
Deepak Gangwar India
Madan Kumar Sharma India
Jiyoun Lim South Korea
Basant Kumar India
Sindhu Hak Gupta India
Carl C. Rheinländer Germany
A. Pieracci relative to Hua Fan China Hua Fan's profile →
Citations per field
00.5×
Hua Fan · 1×
Citations per year

Countries citing papers authored by A. Pieracci

Since Specialization
Citations

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

Fields of papers citing papers by A. Pieracci

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 199967
2 200652
3 200849
4 200539
5 200236
6 199911
7 20009
8 19988
9 20078
10 20136
11 20016
12 19986
13 20025
14 20114
15 20242
16 20022
17 20082
18 20152
19 20032
20
Experimental Analysis of Polarization in the Hot-Carrier Luminescence of Silicon Devices
19941

About A. Pieracci

A. Pieracci is a scholar working on Electrical and Electronic Engineering, Computer Vision and Pattern Recognition, Materials Chemistry, Computer Networks and Communications and Cognitive Neuroscience, having authored 20 papers that have together received 317 indexed citations. Recurring topics across this work include Semiconductor materials and devices (10 papers), Advancements in Semiconductor Devices and Circuit Design (8 papers), Context-Aware Activity Recognition Systems (5 papers), Silicon Carbide Semiconductor Technologies (4 papers), Energy Efficient Wireless Sensor Networks (3 papers), Integrated Circuits and Semiconductor Failure Analysis (3 papers), Tactile and Sensory Interactions (2 papers) and Video Surveillance and Tracking Methods (2 papers). The work is most often cited by research in Human-Computer Interaction (20 citations), Computer Networks and Communications (80 citations), Electrical and Electronic Engineering (195 citations), Computer Vision and Pattern Recognition (62 citations) and Biomedical Engineering (100 citations). A. Pieracci has collaborated with scholars based in Italy and United Kingdom. Frequent co-authors include Luca Benini, B. Riccò, Elisabetta Farella, Andrea Acquaviva, Laura Rocchi, C. Contiero, Stefano Manzini, Davide Brunelli, David Esseni and Rita Cucchiara. Their work appears in journals such as IEEE Transactions on Electron Devices, ACM Transactions on Interactive Intelligent Systems, Sensors, Multimedia Tools and Applications and Institutional Research Information System (University of Udine).

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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