E. Cano

19.0k citations
24 papers · 62 indexed · h-index 6

Impact in

Papers in

E. Cano

19 papers receiving 59 citations

Peers

E. Cano
Comparison fields: 5 of 21
  • Information Systems and Management 17
  • Computer Networks and Communications 43
  • Hardware and Architecture 11
  • Nuclear and High Energy Physics 19
  • Radiation 2
Replace D. Petravick with:
D. Petravick United States
G. Petrucciani Switzerland
O. Bärring Switzerland
M. Michelotto Italy
H. Meinhard Switzerland
S. Piperov United States
Sergey Belov Russia
B. Panzer-Steindel Switzerland
K. Ciba Switzerland
S. Gowdy United Kingdom
E. Cano relative to D. Petravick United States D. Petravick's profile →
Citations per field
00.5×
D. Petravick · 1×
Citations per year

Countries citing papers authored by E. Cano

Since Specialization
Citations

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

Fields of papers citing papers by E. Cano

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.

#Work
1 20216
2 20206
3 20006
4 20125
5 20155
6 20195
7 20155
8 20064
9 20143
10
The run control and monitoring system of the CMS experiment
20073
11 20003
12 20172
13 20012
14 20251
15
Evaluation of Myrinet for the Event Builder of the CMS experiment
20001
16 20151
17 20061
18 20141
19 20001
20 20241

About E. Cano

E. Cano is a scholar working on Computer Networks and Communications, Nuclear and High Energy Physics, Information Systems and Management, Biomedical Engineering and Hardware and Architecture, having authored 24 papers that have together received 62 indexed citations. Recurring topics across this work include Distributed and Parallel Computing Systems (16 papers), Advanced Data Storage Technologies (16 papers), Particle Detector Development and Performance (8 papers), Superconducting Materials and Applications (5 papers), Scientific Computing and Data Management (5 papers), Parallel Computing and Optimization Techniques (4 papers), Spacecraft and Cryogenic Technologies (3 papers) and Particle Accelerators and Free-Electron Lasers (2 papers). The work is most often cited by research in Information Systems and Management (17 citations), Computer Networks and Communications (43 citations), Hardware and Architecture (11 citations), Nuclear and High Energy Physics (19 citations) and Radiation (2 citations). E. Cano has collaborated with scholars based in Switzerland, United States and Russia. Frequent co-authors include Steven Murray, Julien Leduc, Giuseppe Lo Presti, N. Sinanis, F. Meijers, P. Sphicas, E. Wildner, D. Samyn, S. Cittolin and D. Tommasini. Their work appears in journals such as IEEE Transactions on Applied Superconductivity, IEEE Transactions on Nuclear Science, Computer Physics Communications, Processes and SHILAP Revista de lepidopterología.

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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