M. Dell’Orso

48.9k citations
38 papers · 205 · h-index 8

Impact in

Papers in

M. Dell’Orso

33 papers receiving 198 citations

Peers

M. Dell’Orso
Comparison fields: 5 of 29
  • Nuclear and High Energy Physics 142
  • Hardware and Architecture 50
  • Radiation 44
  • Computer Networks and Communications 63
  • Artificial Intelligence 39
Replace S. Galeotti with:
S. Galeotti Italy
F. Spinella Italy
P. Mató Switzerland
U. Marconi Italy
G. Punzi Italy
N. Turini Italy
G. Ganis Switzerland
I. Belyaev Russia
Jie Kuang China
L. Taylor United States
M. Dell’Orso relative to S. Galeotti Italy S. Galeotti's profile →
Citations per field
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Citations per year

Countries citing papers authored by M. Dell’Orso

Since Specialization
Citations

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

Fields of papers citing papers by M. Dell’Orso

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by M. Dell’Orso. 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 M. Dell’Orso. The network helps show where M. Dell’Orso may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 38 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200631
2 198821
3 198817
4 201113
5 199511
6 201110
7 20019
8 19887
9 20017
10 19867
11 19966
12 20176
13 19905
14 20135
15 20165
16 19904
17 20134
18 19994
19 20094
20 20023

About M. Dell’Orso

M. Dell’Orso is a scholar working on Nuclear and High Energy Physics, Computer Networks and Communications, Hardware and Architecture, Radiation and Artificial Intelligence, having authored 38 papers that have together received 205 indexed citations. Recurring topics across this work include Particle Detector Development and Performance (20 papers), Particle physics theoretical and experimental studies (16 papers), Advanced Data Storage Technologies (10 papers), Radiation Detection and Scintillator Technologies (8 papers), Network Packet Processing and Optimization (7 papers), Parallel Computing and Optimization Techniques (6 papers), Algorithms and Data Compression (5 papers) and CCD and CMOS Imaging Sensors (4 papers). The work is most often cited by research in Nuclear and High Energy Physics (142 citations), Hardware and Architecture (50 citations), Radiation (44 citations), Computer Networks and Communications (63 citations) and Artificial Intelligence (39 citations). M. Dell’Orso has collaborated with scholars based in Italy, United States and Switzerland. Frequent co-authors include P. Giannetti, A. Bardi, M. Piendibene, S. Belforte, F. Morsani, D. Passuello, G. Volpi, F. Crescioli, L. Ristori and F. Spinella. Their work appears in journals such as IEEE Transactions on Nuclear Science, Nuclear Instruments and Methods in Physics Research Section A Accelerators Spectrometers Detectors and Associated Equipment, Journal of Instrumentation, Journal of Physics Conference Series and 2000 IEEE Nuclear Science Symposium. Conference Record (Cat. No.00CH37149).

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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