Marco Riva

4.2k citations
138 papers · 2.9k indexed · h-index 31
Topics
Glioma Diagnosis and Treatment (47 papers)Meningioma and schwannoma management (26 papers)Advanced Neuroimaging Techniques and Applications (24 papers)

In The Last Decade

Marco Riva

127 papers receiving 2.9k citations

Peers

Marco Riva
Comparison fields: 5 of 145
  • Genetics 1.1k
  • Radiology, Nuclear Medicine and Imaging 972
  • Cognitive Neuroscience 687
  • Epidemiology 662
  • Surgery 371
Replace Jinsong Wu with:
Jinsong Wu China
Antonella Castellano Italy
Loukas G. Astrakas Greece
Ulrich Roelcke Switzerland
Kyousuke Kamada Japan
Charles Teo Australia
Kaan Yağmurlu United States
Andrew W. McEvoy United Kingdom
Guangbin Cui China
Carlo Cavaliere Italy
Marco Riva relative to Jinsong Wu China Jinsong Wu's profile →
Citations per field
00.5×1.5×
Jinsong Wu · 1×
Citations per year

Countries citing papers authored by Marco Riva

Since Specialization
Citations

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

Fields of papers citing papers by Marco Riva

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Marco Riva

This figure shows the co-authorship network connecting the top 25 collaborators of Marco Riva. A scholar is included among the top collaborators of Marco Riva 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 Marco Riva. Marco Riva 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
#WorkIndexed citations
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12 19
13 15
14 79
15 5
16 29
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18 9
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Shelf life of fresh cut vegetables as measured by an electronic nose. Preliminary study
14
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[Effectiveness of flunarizine in chronic headache. Double-blind study of placebo and amitriptyline].
3

About Marco Riva

Marco Riva is a scholar working on Genetics, Radiology, Nuclear Medicine and Imaging and Computational Mathematics, having authored 138 papers that have together received 2.9k indexed citations. Recurring topics across this work include Glioma Diagnosis and Treatment (47 papers), Meningioma and schwannoma management (26 papers) and Advanced Neuroimaging Techniques and Applications (24 papers). The work is most often cited by research in Genetics (1.1k citations), Radiology, Nuclear Medicine and Imaging (972 citations) and Cognitive Neuroscience (687 citations). Marco Riva has collaborated with scholars based in Italy, United States and United Kingdom. Frequent co-authors include Lorenzo Bello, Antonella Castellano, Alessandra Casarotti, Enrica Fava, Andrea Falini, Federico Pessina, Marco Rossi, Costanza Papagno, Alessandro Comi and Marco Conti Nibali. Their work appears in journals such as Journal of Clinical Oncology, PLoS ONE and Neurology.

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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