Anna Maria Massone

2.4k total citations
73 papers, 993 citations indexed

About

Anna Maria Massone is a scholar working on Astronomy and Astrophysics, Artificial Intelligence and Computer Vision and Pattern Recognition. According to data from OpenAlex, Anna Maria Massone has authored 73 papers receiving a total of 993 indexed citations (citations by other indexed papers that have themselves been cited), including 38 papers in Astronomy and Astrophysics, 31 papers in Artificial Intelligence and 15 papers in Computer Vision and Pattern Recognition. Recurrent topics in Anna Maria Massone's work include Solar and Space Plasma Dynamics (36 papers), Solar Radiation and Photovoltaics (26 papers) and Ionosphere and magnetosphere dynamics (11 papers). Anna Maria Massone is often cited by papers focused on Solar and Space Plasma Dynamics (36 papers), Solar Radiation and Photovoltaics (26 papers) and Ionosphere and magnetosphere dynamics (11 papers). Anna Maria Massone collaborates with scholars based in Italy, United States and United Kingdom. Anna Maria Massone's co-authors include Michele Piana, A. G. Emslie, Eduard P. Kontar, J. C. Brown, Federico Benvenuto, Nehmat Houssami, Daniela Schenone, Alberto Tagliafico, Cristina Campi and Marco Prato and has published in prestigious journals such as Blood, The Astrophysical Journal and Optics Express.

In The Last Decade

Anna Maria Massone

65 papers receiving 925 citations

Peers

Anna Maria Massone
Comparison fields: 5 of 98
  • Astronomy and Astrophysics 517
  • Artificial Intelligence 341
  • Radiology, Nuclear Medicine and Imaging 211
  • Computer Vision and Pattern Recognition 122
  • Molecular Biology 104
Replace Federico Benvenuto with:
Federico Benvenuto Italy
Di Zhao China
Martin D. Altschuler United States
Martin Halicek United States
Christoph Räth Germany
Hongbo Li China
Massimo Viola Netherlands
Z. Zhang China
Cristina Campi Italy
Fritz Albregtsen Norway
Federico Benvenuto Italy View profile →
Citations per field, relative to Anna Maria Massone
Anna Maria Massone · 1×
Citations per year, relative to Anna Maria Massone
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Countries citing papers authored by Anna Maria Massone

Since Specialization
Citations

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

Fields of papers citing papers by Anna Maria Massone

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Anna Maria Massone. 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 Anna Maria Massone. The network helps show where Anna Maria Massone may publish in the future.

Co-authorship network of co-authors of Anna Maria Massone

This figure shows the co-authorship network connecting the top 25 collaborators of Anna Maria Massone. A scholar is included among the top collaborators of Anna Maria Massone 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 Anna Maria Massone. Anna Maria Massone 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
# Work Indexed citations
1 1
2 0
3 1
4 1
5 4
6 5
7 11
8 8
9 17
10 5
11 7
12 1
13 203
14 12
15 48
16 17
17 17
18 9
19
A Simulated Annealing C-Means Clustering Algorithm.
2
20
Interactive graphical system for segmentation of multimodal medical volumes using fuzzy clustering
3

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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