A. Mecocci

1.5k citations
68 papers · 900 · h-index 15

Impact in

Papers in

A. Mecocci

59 papers receiving 841 citations

Peers

A. Mecocci
Comparison fields: 5 of 102
  • Computer Vision and Pattern Recognition 378
  • Media Technology 94
  • Signal Processing 108
  • Artificial Intelligence 271
  • Computer Networks and Communications 136
Replace En Fan with:
En Fan China
Shujian Yu China
Kai Sun China
Meng Joo Er Singapore
Osman N. Uçan Türkiye
Jiwen Dong China
Wen Zhou China
Riadh Ksantini Canada
Sultan Almotairi Saudi Arabia
Ezequiel López‐Rubio Spain
A. Mecocci relative to En Fan China En Fan's profile →
Citations per field
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Citations per year

Countries citing papers authored by A. Mecocci

Since Specialization
Citations

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

Fields of papers citing papers by A. Mecocci

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 68 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1996193
2 2018116
3 201955
4 200042
5 199441
6 202134
7 201431
8 201927
9 201823
10 199422
11 199822
12 200520
13 200418
14 202116
15 201616
16 201314
17 201813
18 202212
19 201712
20 199512

About A. Mecocci

A. Mecocci is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Computer Networks and Communications, Signal Processing and Electrical and Electronic Engineering, having authored 68 papers that have together received 900 indexed citations. Recurring topics across this work include Advanced Vision and Imaging (10 papers), Advanced Data Compression Techniques (10 papers), Energy Efficient Wireless Sensor Networks (8 papers), Video Surveillance and Tracking Methods (8 papers), Energy Harvesting in Wireless Networks (7 papers), Image and Signal Denoising Methods (7 papers), Video Coding and Compression Technologies (6 papers) and Anomaly Detection Techniques and Applications (6 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (378 citations), Media Technology (94 citations), Signal Processing (108 citations), Artificial Intelligence (271 citations) and Computer Networks and Communications (136 citations). A. Mecocci has collaborated with scholars based in Italy, Switzerland and Brazil. Frequent co-authors include V. Cappellini, Mauro Barni, Alessandro Pozzebon, Stefano Parrino, Giacomo Peruzzi, Lorenzo Favalli, Andrea Abrardo, Simone Bonechi, Paolo Andreini and Monica Bianchini. Their work appears in journals such as Electronics Letters, Signal Processing, Sensors, Image and Vision Computing and Electronics.

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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