Matteo Pavan

20 total papers · 574 total citations
10 papers, 447 citations indexed

About

Matteo Pavan is a scholar working on Radiology, Nuclear Medicine and Imaging, Nuclear and High Energy Physics and Atomic and Molecular Physics, and Optics. According to data from OpenAlex, Matteo Pavan has authored 10 papers receiving a total of 447 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Radiology, Nuclear Medicine and Imaging, 3 papers in Nuclear and High Energy Physics and 2 papers in Atomic and Molecular Physics, and Optics. Recurrent topics in Matteo Pavan's work include Advanced MRI Techniques and Applications (10 papers), Ultrasound Imaging and Elastography (3 papers) and NMR spectroscopy and applications (3 papers). Matteo Pavan is often cited by papers focused on Advanced MRI Techniques and Applications (10 papers), Ultrasound Imaging and Elastography (3 papers) and NMR spectroscopy and applications (3 papers). Matteo Pavan collaborates with scholars based in Switzerland, Germany and Finland. Matteo Pavan's co-authors include Klaas P. Pruessmann, Christoph Barmet, Bertram J. Wilm, S. Johanna Vannesjo, Maximilian Haeberlin, Lars Kasper, A Henning, Benjamin E. Dietrich, David O. Brunner and Peter Boesiger and has published in prestigious journals such as Magnetic Resonance in Medicine, NMR in Biomedicine and Max Planck Digital Library.

In The Last Decade

Matteo Pavan

10 papers receiving 444 citations

Author Peers

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

Author Last Decade Papers Cites
Matteo Pavan 411 165 90 84 29 10 447
Patrick C. McDaniel 346 0.8× 151 0.9× 84 0.9× 37 0.4× 15 0.5× 7 432
D. Hentschel 209 0.5× 97 0.6× 140 1.6× 170 2.0× 63 2.2× 19 489
Jintong Mao 281 0.7× 61 0.4× 166 1.8× 126 1.5× 11 0.4× 15 420
David P. Madio 265 0.6× 97 0.6× 60 0.7× 85 1.0× 40 1.4× 9 418
Paul T. Gurney 434 1.1× 159 1.0× 77 0.9× 34 0.4× 13 0.4× 7 525
H. Bomsdorf 297 0.7× 107 0.6× 145 1.6× 46 0.5× 39 1.3× 21 411
Ray F. Lee 444 1.1× 190 1.2× 226 2.5× 40 0.5× 11 0.4× 14 496
Stephan Witoszynskyj 368 0.9× 72 0.4× 32 0.4× 54 0.6× 45 1.6× 13 445
Thomas J. Brosnan 460 1.1× 96 0.6× 31 0.3× 38 0.5× 34 1.2× 12 528
George Entzminger 285 0.7× 120 0.7× 241 2.7× 120 1.4× 6 0.2× 12 445

Countries citing papers authored by Matteo Pavan

Since Specialization
Citations

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

Fields of papers citing papers by Matteo Pavan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Matteo Pavan

This figure shows the co-authorship network connecting the top 25 collaborators of Matteo Pavan. A scholar is included among the top collaborators of Matteo Pavan 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 Matteo Pavan. Matteo Pavan 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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