P. Mató

9.3k citations
20 papers · 258 indexed · h-index 7

P. Mató

16 papers receiving 237 citations

Peers

P. Mató
Comparison fields: 5 of 39
  • Nuclear and High Energy Physics 170
  • Hardware and Architecture 39
  • Computer Networks and Communications 121
  • Information Systems and Management 30
  • Radiation 28
Replace I. Belyaev with:
I. Belyaev Russia
M. Frank Switzerland
S. Belforte Italy
Niko Neufeld Switzerland
F. Ranjard Switzerland
R Chytracek Switzerland
Pere Mato Switzerland
P. Calafiura United States
P. Eerola Canada
G. Ganis Switzerland
P. Mató relative to I. Belyaev Russia I. Belyaev's profile →
Citations per field
00.5×1.5×2.1×
I. Belyaev · 1×
Citations per year

Countries citing papers authored by P. Mató

Since Specialization
Citations

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

Fields of papers citing papers by P. Mató

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20172
2 20151
3
Update of the Computing Models of the WLCG and the LHC Experiments
201417
4 200613
5 20056
6 20055
7 200533
8 200511
9 20052
10 20045
11
Moving the LHCb Monte Carlo Production System to the GRID
20011
12
Experience with the ALEPH Online system
20010
13 2001142
14 200012
15 19961
16 19940
17 19940
18 19932
19 19920
20 19895

About P. Mató

P. Mató is a scholar working on Nuclear and High Energy Physics, Computer Networks and Communications, Hardware and Architecture, Information Systems and Management and Astronomy and Astrophysics, having authored 20 papers that have together received 258 indexed citations. Recurring topics across this work include Distributed and Parallel Computing Systems (10 papers), Advanced Data Storage Technologies (9 papers), Particle physics theoretical and experimental studies (7 papers), Particle Detector Development and Performance (5 papers), Parallel Computing and Optimization Techniques (3 papers), Scientific Computing and Data Management (3 papers), Distributed systems and fault tolerance (2 papers) and Advanced Database Systems and Queries (2 papers). The work is most often cited by research in Nuclear and High Energy Physics (170 citations), Hardware and Architecture (39 citations), Computer Networks and Communications (121 citations), Information Systems and Management (30 citations) and Radiation (28 citations). P. Mató has collaborated with scholars based in Switzerland, United States and France. Frequent co-authors include M. Cattaneo, G. Corti, I. Belyaev, Guy Barrand, F. Ranjard, J. Harvey, R Chytracek, G. Gracia, P. Binko and E. van Herwijnen. 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, Computer Physics Communications, Journal of Physics Conference Series and IEEE Symposium Conference Record Nuclear Science 2004..

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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