Antonio Mazza

52 total papers · 451 total citations
22 papers, 324 citations indexed

About

Antonio Mazza is a scholar working on Media Technology, Computer Vision and Pattern Recognition and Molecular Biology. According to data from OpenAlex, Antonio Mazza has authored 22 papers receiving a total of 324 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Media Technology, 8 papers in Computer Vision and Pattern Recognition and 5 papers in Molecular Biology. Recurrent topics in Antonio Mazza's work include Advanced Image Fusion Techniques (10 papers), Remote-Sensing Image Classification (7 papers) and Image and Signal Denoising Methods (4 papers). Antonio Mazza is often cited by papers focused on Advanced Image Fusion Techniques (10 papers), Remote-Sensing Image Classification (7 papers) and Image and Signal Denoising Methods (4 papers). Antonio Mazza collaborates with scholars based in Italy, France and Germany. Antonio Mazza's co-authors include Giuseppe Scarpa, Raffaele Gaetano, Massimiliano Gargiulo, Giuseppe Ruello, Francescopaolo Sica, Paola Rizzoli, Paolo Sassone‐Corsi, Luigi Del Giudice, K. Wolf and Giovanni Poggi and has published in prestigious journals such as Biochemical and Biophysical Research Communications, IEEE Transactions on Geoscience and Remote Sensing and Remote Sensing.

In The Last Decade

Antonio Mazza

20 papers receiving 313 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Antonio Mazza	157	120	97	57	40	22	324
Divya Meena Sundaram	133 0.8×	76 0.6×	90 0.9×	21 0.4×	20 0.5×	36	343
André Mora	52 0.3×	53 0.4×	89 0.9×	53 0.9×	32 0.8×	45	335
Jianlong Wang	117 0.7×	38 0.3×	65 0.7×	28 0.5×	28 0.7×	33	363
Michał Krupiński	100 0.6×	116 1.0×	45 0.5×	71 1.2×	19 0.5×	47	340
Yu Oishi	73 0.5×	91 0.8×	44 0.5×	36 0.6×	11 0.3×	22	306
Dongmei Yan	46 0.3×	36 0.3×	50 0.5×	22 0.4×	52 1.3×	28	282
K. L. Majumder	153 1.0×	97 0.8×	78 0.8×	41 0.7×	6 0.1×	18	341
N. Khazenie	174 1.1×	86 0.7×	50 0.5×	65 1.1×	11 0.3×	11	360
Steven Douglas Cochran	81 0.5×	27 0.2×	167 1.7×	67 1.2×	11 0.3×	14	341
Anuar Mikdad Muad	153 1.0×	103 0.9×	119 1.2×	52 0.9×	10 0.3×	27	358

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 of co-authors of Antonio Mazza

This figure shows the co-authorship network connecting the top 25 collaborators of Antonio Mazza. A scholar is included among the top collaborators of Antonio Mazza 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 Antonio Mazza. Antonio Mazza is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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