G. Della Ricca

129.9k citations
11 papers · 35 indexed · h-index 4

G. Della Ricca

7 papers receiving 31 citations

Peers

G. Della Ricca
Comparison fields: 5 of 16
  • Nuclear and High Energy Physics 28
  • Information Systems and Management 4
  • Computer Networks and Communications 12
  • Radiation 3
  • Hardware and Architecture 2
Replace C. Gaspar with:
C. Gaspar Switzerland
R. Fantechi Italy
K. F. Read United States
G. Franzoni Switzerland
N. De Groot Netherlands
I. Segoni Italy
N. De Filippis Italy
H. K. Hadavand United States
W. Ehrenfeld Germany
H. Berns United States
G. Della Ricca relative to C. Gaspar Switzerland C. Gaspar's profile →
Citations per field
00.5×1.5×
C. Gaspar · 1×
Citations per year

Countries citing papers authored by G. Della Ricca

Since Specialization
Citations

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

Fields of papers citing papers by G. Della Ricca

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by G. Della Ricca. 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 G. Della Ricca. The network helps show where G. Della Ricca may publish in the future.

Co-authorship network

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

All Works

11 of 11 papers shown
#Work
1 20141
2 201014
3 20100
4 20083
5 20080
6 20071
7 20034
8
Results on Fermion-Pair Production at LEP running in 2000
20012
9 199910
10 19980
11
Algorithms for reduction of coherent noise in the silicon shower maximum detector of STIC
19970

About G. Della Ricca

G. Della Ricca is a scholar working on Nuclear and High Energy Physics, Hardware and Architecture and Computer Networks and Communications, having authored 11 papers that have together received 35 indexed citations. Recurring topics across this work include Particle physics theoretical and experimental studies (8 papers), Particle Detector Development and Performance (7 papers), Distributed and Parallel Computing Systems (4 papers), High-Energy Particle Collisions Research (3 papers), Parallel Computing and Optimization Techniques (2 papers), Quantum Chromodynamics and Particle Interactions (2 papers), Advanced Data Storage Technologies (2 papers) and Computational Physics and Python Applications (1 paper). The work is most often cited by research in Nuclear and High Energy Physics (28 citations), Information Systems and Management (4 citations) and Computer Networks and Communications (12 citations). G. Della Ricca has collaborated with scholars based in Italy, Switzerland and United States. Frequent co-authors include I. Segoni, A. Meyer, L. Tuura, F. Cossutti, B. Gobbo, M. Mulders, Jason Holt, M. Pimenta, N.J. Kjær and L. Vitale. Their work appears in journals such as Nuclear Instruments and Methods in Physics Research Section A Accelerators Spectrometers Detectors and Associated Equipment, The European Physical Journal C and Journal of Physics Conference Series.

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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