A. Mecocci

507 citations
29 papers · 355 indexed · h-index 10
Topics
Remote-Sensing Image Classification (7 papers)Image Retrieval and Classification Techniques (6 papers)Image and Object Detection Techniques (4 papers)

In The Last Decade

A. Mecocci

26 papers receiving 333 citations

Peers

A. Mecocci
Comparison fields: 5 of 79
  • Computer Vision and Pattern Recognition 146
  • Radiology, Nuclear Medicine and Imaging 141
  • Ophthalmology 128
  • Media Technology 45
  • Physiology 35
Replace Ruixue Zhao with:
Ruixue Zhao China
F.N.S. Medeiros Brazil
Kaiqiong Sun China
Thitiporn Chanwimaluang Thailand
Siti Raihanah Abdani Malaysia
Amina Jameel Pakistan
P. Jidesh India
Anirban Santara India
Ahmad Fadzil Mohamad Hani Malaysia
Agata Mosinska Switzerland
A. Mecocci relative to Ruixue Zhao China Ruixue Zhao's profile →
Citations per field
00.5×10×15×18×
Ruixue Zhao · 1×
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-authorship network of co-authors of A. Mecocci

This figure shows the co-authorship network connecting the top 25 collaborators of A. Mecocci. A scholar is included among the top collaborators of A. Mecocci based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with A. Mecocci. A. Mecocci is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 3
2 44
3 20
4 9
5 1
6 104
7 27
8 3
9 13
10 2
11 8
12 0
13 3
14 2
15 4
16 1
17 9
18 1
19
A fast L1-metric vector median filter
2
20 4

About A. Mecocci

A. Mecocci is a scholar working on Media Technology, Computer Vision and Pattern Recognition and Ophthalmology, having authored 29 papers that have together received 355 indexed citations. Recurring topics across this work include Remote-Sensing Image Classification (7 papers), Image Retrieval and Classification Techniques (6 papers) and Image and Object Detection Techniques (4 papers). The work is most often cited by research in Ophthalmology (128 citations), Computer Vision and Pattern Recognition (146 citations) and Radiology, Nuclear Medicine and Imaging (141 citations). A. Mecocci has collaborated with scholars based in Italy, Germany and United Kingdom. Frequent co-authors include Mauro Barni, Andrea Garzelli, Emanuele Trucco, Lucia Ballerini, Roberto Annunziata, Paolo Gamba, V. Cappellini, Andrea Sodi, Michele Betti and Franco Scarselli. Their work appears in journals such as Sensors, International Journal of Remote Sensing and IEEE Transactions on Aerospace and Electronic Systems.

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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