Pere Mato

1.0k citations
28 papers · 325 · h-index 10

Impact in

Papers in

Pere Mato

24 papers receiving 303 citations

Peers

Pere Mato
Comparison fields: 5 of 38
  • Information Systems and Management 83
  • Nuclear and High Energy Physics 149
  • Computer Networks and Communications 207
  • Hardware and Architecture 43
  • Radiation 20
Replace M. Potekhin with:
M. Potekhin United States
P. Calafiura United States
Jim Kowalkowski United States
A Casajús Ramo Spain
P. Mató Switzerland
Philippe Canal United States
M. Cattaneo Switzerland
P. Vande Vyvre Switzerland
Jakob Blomer Switzerland
P. Eerola Canada
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Citations per field
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Citations per year

Countries citing papers authored by Pere Mato

Since Specialization
Citations

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

Fields of papers citing papers by Pere Mato

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201080
2 201459
3 201631
4 201015
5
GAUDI-Architecture design document
199812
6 201712
7 200912
8 202011
9 201110
10 201210
11
CVMFS - a file system for the CernVM virtual appliance
20089
12 20119
13
LHC Cloud Computing with CernVM
20108
14 20148
15 20237
16 20056
17 20146
18 20155
19 20124
20 20044

About Pere Mato

Pere Mato is a scholar working on Computer Networks and Communications, Nuclear and High Energy Physics, Hardware and Architecture, Information Systems and Management and Artificial Intelligence, having authored 28 papers that have together received 325 indexed citations. Recurring topics across this work include Distributed and Parallel Computing Systems (18 papers), Advanced Data Storage Technologies (12 papers), Particle physics theoretical and experimental studies (11 papers), Particle Detector Development and Performance (8 papers), Parallel Computing and Optimization Techniques (8 papers), Scientific Computing and Data Management (7 papers), Computational Physics and Python Applications (3 papers) and Peer-to-Peer Network Technologies (2 papers). The work is most often cited by research in Information Systems and Management (83 citations), Nuclear and High Energy Physics (149 citations), Computer Networks and Communications (207 citations), Hardware and Architecture (43 citations) and Radiation (20 citations). Pere Mato has collaborated with scholars based in Switzerland, United Kingdom and United States. Frequent co-authors include Frank Gaede, P. Bunc̆ić, M. Frank, C. Grefe, Jakob Blomer, D. Piparo, Yong Yao, B. Hegner, Enric Tejedor and Jakub Mościcki. Their work appears in journals such as Future Generation Computer Systems, Nuclear Instruments and Methods in Physics Research Section A Accelerators Spectrometers Detectors and Associated Equipment, SHILAP Revista de lepidopterología, Journal of Physics Conference Series and EPJ Web of Conferences.

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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