P. Calvini

1.4k citations
36 papers · 883 indexed · h-index 12

Impact in

Papers in

P. Calvini

35 papers receiving 846 citations

Peers

P. Calvini
Comparison fields: 5 of 110
  • Neurology 153
  • Psychiatry and Mental health 235
  • Nuclear and High Energy Physics 182
  • Radiation 122
  • Cognitive Neuroscience 206
Replace Jean-Marcel Travère with:
Jean-Marcel Travère France
S.M. Paling United Kingdom
S. Squarcia Italy
Alice M. Wyrwicz United States
Alessandra Retico Italy
Christopher Steward Australia
Hideki Kohno Japan
C. Böhm Sweden
Alvin H. Bachman United States
S. Homma Japan
P. Calvini relative to Jean-Marcel Travère France Jean-Marcel Travère's profile →
Citations per field
00.5×1.5×2.1×
Jean-Marcel Travère · 1×
Citations per year

Countries citing papers authored by P. Calvini

Since Specialization
Citations

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

Fields of papers citing papers by P. Calvini

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 201710
2 20148
3 2011141
4 20113
5 200911
6 200968
7 200929
8 200850
9 20081
10 200786
11 200610
12 20056
13 20059
14 200446
15 200345
16 20018
17 20013
18 200072
19 199928
20 19832

About P. Calvini

P. Calvini is a scholar working on Nuclear and High Energy Physics, Radiation, Radiology, Nuclear Medicine and Imaging, Psychiatry and Mental health and Cognitive Neuroscience, having authored 36 papers that have together received 883 indexed citations. Recurring topics across this work include Medical Imaging Techniques and Applications (10 papers), Particle Detector Development and Performance (8 papers), Dementia and Cognitive Impairment Research (8 papers), Particle physics theoretical and experimental studies (8 papers), Alzheimer's disease research and treatments (6 papers), Advanced MRI Techniques and Applications (6 papers), Functional Brain Connectivity Studies (5 papers) and Radiomics and Machine Learning in Medical Imaging (3 papers). The work is most often cited by research in Neurology (153 citations), Psychiatry and Mental health (235 citations), Nuclear and High Energy Physics (182 citations), Radiation (122 citations) and Cognitive Neuroscience (206 citations). P. Calvini has collaborated with scholars based in Italy, United States and Netherlands. Frequent co-authors include Flavio Nobili, Guido Rodriguez, S. Squarcia, Nicola Girtler, A. Zenoni, P. Checchia, S. Vanini, G. Zumerle, Ugo Paolo Guerra and G. Bonomi. Their work appears in journals such as Inverse Problems, IEEE Transactions on Nuclear Science, Clinical Neurophysiology, Surface Science and European Journal of Nuclear Medicine and Molecular Imaging.

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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