Antonio Mazza

457 citations
22 papers · 325 indexed · h-index 8

Antonio Mazza

20 papers receiving 314 citations

Peers

Antonio Mazza
Comparison fields: 5 of 66
  • Media Technology 158
  • Computer Vision and Pattern Recognition 98
  • Ecology 120
  • Environmental Engineering 57
  • Atmospheric Science 33
Replace B. Kartikeyan with:
B. Kartikeyan India
N. Khazenie United States
G. Flouzat France
Gang Fu China
Gustav Tolt Sweden
Mathias Schneider Germany
Panu Srestasathiern Thailand
Maria Vakalopoulou France
Estíbaliz Martínez Spain
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Citations per field
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Citations per year

Countries citing papers authored by Antonio Mazza

Since Specialization
Citations

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

Fields of papers citing papers by Antonio Mazza

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 16 scholars most cited alongside Antonio Mazza, 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 Antonio Mazza Line = papers co-authored together Antonio Mazza links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20250
2 20251
3 20232
4 20231
5 20222
6 20213
7 20213
8 201930
9 20190
10 201947
11 2018139
12 201824
13 201822
14 19914
15
Uranyl-formol: a simple and reliable stain for routine electron microscope observation of ultrathin sections.
19813
16 19808
17 197921
18 197310
19 19681
20
[Histochemical research on the enzymatic reaction of guinea-pig skin in relation to the influence exerted by ionizing radiations. I. The behavior of alkaline and acid phosphatases].
19621

About Antonio Mazza

Antonio Mazza is a scholar working on Media Technology, Computer Vision and Pattern Recognition and Ecology, having authored 22 papers that have together received 325 indexed citations. Recurring topics across this work include Advanced Image Fusion Techniques (10 papers), Remote-Sensing Image Classification (7 papers), Image and Signal Denoising Methods (4 papers), Remote Sensing in Agriculture (4 papers), Photoacoustic and Ultrasonic Imaging (2 papers), DNA and Nucleic Acid Chemistry (2 papers), Advanced Image Processing Techniques (2 papers) and Image Enhancement Techniques (2 papers). The work is most often cited by research in Media Technology (158 citations), Computer Vision and Pattern Recognition (98 citations) and Ecology (120 citations). Antonio Mazza has collaborated with scholars based in Italy, France and Germany. Frequent co-authors include Giuseppe Scarpa, Massimiliano Gargiulo, Raffaele Gaetano, Giuseppe Ruello, Paola Rizzoli, Francescopaolo Sica, Paolo Sassone‐Corsi, Luigi Del Giudice, K. Wolf and Antonio Del Casale. Their work appears in journals such as Biochemical and Biophysical Research Communications, IEEE Transactions on Geoscience and Remote Sensing and Remote Sensing.

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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