Matteo Maspero

109 total papers · 2.2k total citations
44 papers, 1.0k citations indexed

About

Matteo Maspero is a scholar working on Radiology, Nuclear Medicine and Imaging, Radiation and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Matteo Maspero has authored 44 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 38 papers in Radiology, Nuclear Medicine and Imaging, 33 papers in Radiation and 11 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Matteo Maspero's work include Advanced Radiotherapy Techniques (31 papers), Medical Imaging Techniques and Applications (31 papers) and Advanced MRI Techniques and Applications (14 papers). Matteo Maspero is often cited by papers focused on Advanced Radiotherapy Techniques (31 papers), Medical Imaging Techniques and Applications (31 papers) and Advanced MRI Techniques and Applications (14 papers). Matteo Maspero collaborates with scholars based in Netherlands, Germany and Sweden. Matteo Maspero's co-authors include Cornelis A. T. van den Berg, M.H.F. Savenije, Peter R. Seevinck, Joost J.C. Verhoeff, Jochem R.N. van der Voort van Zyp, Linda G.W. Kerkmeijer, Enrica Seravalli, J J W Lagendijk, Anna M. Dinkla and Frank Zijlstra and has published in prestigious journals such as NeuroImage, International Journal of Radiation Oncology*Biology*Physics and Magnetic Resonance in Medicine.

In The Last Decade

Matteo Maspero

39 papers receiving 1.0k citations

Author Peers

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

Author						Papers	Cites
Matteo Maspero	830	626	307	245	148	44	1.0k
Linghong Zhou	852 1.0×	576 0.9×	421 1.4×	303 1.2×	137 0.9×	71	1.2k
Joseph Harms	584 0.7×	458 0.7×	286 0.9×	246 1.0×	154 1.0×	53	899
Hui Yan	810 1.0×	863 1.4×	261 0.9×	548 2.2×	54 0.4×	65	1.1k
C. Lafond	687 0.8×	710 1.1×	248 0.8×	429 1.8×	113 0.8×	75	1.2k
M. Peroni	682 0.8×	656 1.0×	265 0.9×	409 1.7×	148 1.0×	36	997
Lorenzo Placidi	800 1.0×	757 1.2×	236 0.8×	492 2.0×	37 0.3×	84	1.2k
Kenneth H. Wong	507 0.6×	276 0.4×	213 0.7×	207 0.8×	31 0.2×	47	796
B. Rigaud	450 0.5×	446 0.7×	305 1.0×	270 1.1×	70 0.5×	61	948
Michael Perkuhn	629 0.8×	163 0.3×	185 0.6×	164 0.7×	96 0.6×	18	955
Xue Dong	923 1.1×	264 0.4×	562 1.8×	160 0.7×	211 1.4×	43	1.1k

Countries citing papers authored by Matteo Maspero

Since Specialization

Citations

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

Fields of papers citing papers by Matteo Maspero

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Matteo Maspero

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