N. V. Biesuz

41.1k citations
20 papers · 58 indexed · h-index 6

N. V. Biesuz

17 papers receiving 54 citations

Peers

N. V. Biesuz
Comparison fields: 5 of 25
  • Nuclear and High Energy Physics 23
  • Radiation 12
  • Hardware and Architecture 6
  • Instrumentation 3
  • Computer Vision and Pattern Recognition 8
Replace N. Pozzobon with:
N. Pozzobon Italy
D. Zou United States
Saverio Citraro Italy
D. Barrientos Spain
S. Popa Romania
J.F. Genat France
K. Kordas Greece
L. Ristori Italy
Ł. Mik Poland
A. Rose United Kingdom
N. V. Biesuz relative to N. Pozzobon Italy N. Pozzobon's profile →
Citations per field
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N. Pozzobon · 1×
Citations per year

Countries citing papers authored by N. V. Biesuz

Since Specialization
Citations

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

Fields of papers citing papers by N. V. Biesuz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20253
3 20251
4 20251
5 20251
6 20245
7 20246
8 20245
9 20235
10 20225
11 20221
12 20210
13 20210
14 20203
15 20191
16 20192
17 20169
18 20162
19 20153
20 20145

About N. V. Biesuz

N. V. Biesuz is a scholar working on Nuclear and High Energy Physics, Hardware and Architecture, Radiation, Bioengineering and Computer Networks and Communications, having authored 20 papers that have together received 58 indexed citations. Recurring topics across this work include Particle Detector Development and Performance (11 papers), CCD and CMOS Imaging Sensors (5 papers), Network Packet Processing and Optimization (4 papers), Medical Imaging Techniques and Applications (3 papers), Advanced Data Storage Technologies (3 papers), Photocathodes and Microchannel Plates (2 papers), Particle physics theoretical and experimental studies (2 papers) and Interconnection Networks and Systems (2 papers). The work is most often cited by research in Nuclear and High Energy Physics (23 citations), Radiation (12 citations), Hardware and Architecture (6 citations), Instrumentation (3 citations) and Computer Vision and Pattern Recognition (8 citations). N. V. Biesuz has collaborated with scholars based in Italy, Switzerland and France. Frequent co-authors include R. Bolzonella, M. Fiorini, V. Cavallini, P. Cardarelli, P. Giannetti, X. Llopart, Giovanni Mettivier, Francesco Brun, M. Piendibene and Luca Brombal. Their work appears in journals such as Journal of Instrumentation, IEEE Transactions on Nuclear Science, Nuclear Instruments and Methods in Physics Research Section A Accelerators Spectrometers Detectors and Associated Equipment, Computer Physics Communications 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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