A. Pieracci

437 citations
21 papers · 353 · h-index 9

Impact in

Papers in

A. Pieracci

21 papers receiving 319 citations

Peers

A. Pieracci
Comparison fields: 5 of 55
  • Human-Computer Interaction 32
  • Computer Networks and Communications 90
  • Electrical and Electronic Engineering 200
  • Computer Vision and Pattern Recognition 75
  • Biomedical Engineering 113
Replace Greg Chance with:
Greg Chance United Kingdom
Hua Fan China
K. P. Safeer India
Akhilesh Kumar India
Aziz Benlarbi‐Delaï France
Siddharth Patel United States
Jiyoun Lim South Korea
Yong-Ho Seo South Korea
Deepak Gangwar India
Giacomo Paolini Italy
A. Pieracci relative to Greg Chance United Kingdom Greg Chance's profile →
Citations per field
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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

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1 199967
2 200865
3 200656
4 200543
5 200236
6 200714
7 199911
8 20009
9 19988
10 20137
11 20016
12 19986
13 20025
14 20134
15 20114
16 20153
17 20242
18 20022
19 20082
20 20032

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 21 papers that have together received 353 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), Video Surveillance and Tracking Methods (3 papers) and Interactive and Immersive Displays (2 papers). The work is most often cited by research in Human-Computer Interaction (32 citations), Computer Networks and Communications (90 citations), Electrical and Electronic Engineering (200 citations), Computer Vision and Pattern Recognition (75 citations) and Biomedical Engineering (113 citations). A. Pieracci has collaborated with scholars based in Italy and United Kingdom. Frequent co-authors include Luca Benini, Elisabetta Farella, Andrea Acquaviva, B. Riccò, Laura Rocchi, Stefano Manzini, C. Contiero, Davide Brunelli, Roberto Vezzani and Rita Cucchiara. Their work appears in journals such as IEEE Transactions on Electron Devices, Sensors, ACM Transactions on Interactive Intelligent Systems, Multimedia Tools and Applications and Lecture notes in computer science.

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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