V. Monaco

104.6k citations
47 papers · 465 indexed · h-index 12

Impact in

Papers in

V. Monaco

42 papers receiving 457 citations

Peers

V. Monaco
Comparison fields: 5 of 50
  • Radiation 310
  • Physical Therapy, Sports Therapy and Rehabilitation 69
  • Pulmonary and Respiratory Medicine 342
  • Nuclear and High Energy Physics 70
  • Psychiatry and Mental health 48
Replace W. Hao with:
W. Hao China
F. Pennazio Italy
Lucio Pereira Neves Brazil
A.J. Boston United Kingdom
José M. Lárraga‐Gutiérrez Mexico
K. S. Grogg United States
G. Belli Italy
Antonio Gilardi Switzerland
M. Maolinbay United States
Ekaterina Mikhaylova Spain
V. Monaco relative to W. Hao China W. Hao's profile →
Citations per field
00.5×10×20×31.1×
W. Hao · 1×
Citations per year

Countries citing papers authored by V. Monaco

Since Specialization
Citations

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

Fields of papers citing papers by V. Monaco

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 47 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201470
2 201358
3 201735
4 201230
5 202026
6 202222
7 201621
8 201719
9 200917
10 202013
11 202112
12 200911
13 201811
14 201710
15 20199
16 20189
17 20207
18 20197
19 20086
20 20225

About V. Monaco

V. Monaco is a scholar working on Radiation, Nuclear and High Energy Physics, Pulmonary and Respiratory Medicine, Physical Therapy, Sports Therapy and Rehabilitation and Electrical and Electronic Engineering, having authored 47 papers that have together received 465 indexed citations. Recurring topics across this work include Radiation Therapy and Dosimetry (33 papers), Radiation Detection and Scintillator Technologies (21 papers), Particle Detector Development and Performance (17 papers), Radiation Effects in Electronics (17 papers), Advanced Radiotherapy Techniques (9 papers), Particle accelerators and beam dynamics (3 papers), CCD and CMOS Imaging Sensors (3 papers) and Motor Control and Adaptation (3 papers). The work is most often cited by research in Radiation (310 citations), Physical Therapy, Sports Therapy and Rehabilitation (69 citations), Pulmonary and Respiratory Medicine (342 citations), Nuclear and High Energy Physics (70 citations) and Psychiatry and Mental health (48 citations). V. Monaco has collaborated with scholars based in Italy, Brazil and Switzerland. Frequent co-authors include S. Giordanengo, R. Cirio, R. Sacchi, Silvestro Micera, Dario Martelli, M. Donetti, A. Vignati, Lorenzo Bassi Luciani, F. Marchetto and A. Attili. Their work appears in journals such as Nuclear Instruments and Methods in Physics Research Section A Accelerators Spectrometers Detectors and Associated Equipment, Medical Physics, Physics in Medicine and Biology, Journal of Instrumentation and Physica Medica.

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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