G.J. McCance

1.7k total citations
13 papers, 80 citations indexed

About

G.J. McCance is a scholar working on Computer Networks and Communications, Information Systems and Management and Artificial Intelligence. According to data from OpenAlex, G.J. McCance has authored 13 papers receiving a total of 80 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Computer Networks and Communications, 7 papers in Information Systems and Management and 2 papers in Artificial Intelligence. Recurrent topics in G.J. McCance's work include Distributed and Parallel Computing Systems (13 papers), Advanced Data Storage Technologies (11 papers) and Scientific Computing and Data Management (7 papers). G.J. McCance is often cited by papers focused on Distributed and Parallel Computing Systems (13 papers), Advanced Data Storage Technologies (11 papers) and Scientific Computing and Data Management (7 papers). G.J. McCance collaborates with scholars based in Switzerland, Russia and United States. G.J. McCance's co-authors include Maria Girone, X. Espinal Curull, D. Cameron, G. A. Stewart, S. Campana, J. Schovancova, Ian Bird, Ákos Frohner, J. Van Eldik and Peter Kunszt and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Physics Conference Series and arXiv (Cornell University).

In The Last Decade

G.J. McCance

12 papers receiving 77 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
G.J. McCance Switzerland 6 79 32 15 14 6 13 80
J. Schovancova Switzerland 6 65 0.8× 36 1.1× 10 0.7× 11 0.8× 13 2.2× 17 73
A. Sciabà Switzerland 6 90 1.1× 38 1.2× 18 1.2× 12 0.9× 17 2.8× 37 93
John Hover United States 6 71 0.9× 40 1.3× 8 0.5× 22 1.6× 12 2.0× 18 83
A. McNab United Kingdom 5 68 0.9× 24 0.8× 8 0.5× 30 2.1× 5 0.8× 16 82
G. Tortone Italy 3 76 1.0× 25 0.8× 21 1.4× 41 2.9× 5 0.8× 10 88
Luciano Gaido Italy 4 37 0.5× 20 0.6× 11 0.7× 13 0.9× 6 1.0× 10 46
J. Schovancova United States 4 49 0.6× 26 0.8× 13 0.9× 7 0.5× 12 2.0× 5 52
S. Ponce Switzerland 6 83 1.1× 37 1.2× 18 1.2× 13 0.9× 23 3.8× 16 94
José Manuel Rodríguez Caballero United States 4 82 1.0× 47 1.5× 10 0.7× 12 0.9× 20 3.3× 11 86
A. Dorigo Italy 4 40 0.5× 24 0.8× 8 0.5× 16 1.1× 4 0.7× 9 43

Countries citing papers authored by G.J. McCance

Since Specialization
Citations

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

Fields of papers citing papers by G.J. McCance

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of G.J. McCance

This figure shows the co-authorship network connecting the top 25 collaborators of G.J. McCance. A scholar is included among the top collaborators of G.J. McCance based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with G.J. McCance. G.J. McCance is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

13 of 13 papers shown
1.
McCance, G.J., et al.. (2020). Managing the CERN Batch System with Kubernetes. SHILAP Revista de lepidopterología. 245. 7048–7048. 1 indexed citations
2.
Smith, David E., A. Di Girolamo, Ivan Glushkov, et al.. (2019). Sharing server nodes for storage and computer. SHILAP Revista de lepidopterología. 214. 8025–8025. 5 indexed citations
3.
Bird, Ian, S. Campana, Maria Girone, et al.. (2019). Architecture and prototype of a WLCG data lake for HL-LHC. SHILAP Revista de lepidopterología. 214. 4024–4024. 15 indexed citations
4.
Schovancova, J., et al.. (2018). Understanding the Performance of a Prototype of a WLCG Data Lake for HL-LHC. CERN Bulletin. 898. 332–333. 1 indexed citations
5.
Field, Laurence, et al.. (2017). CERN Computing in Commercial Clouds. Journal of Physics Conference Series. 898. 82030–82030. 3 indexed citations
6.
McCance, G.J., et al.. (2017). Future Approach to tier-0 extension. Journal of Physics Conference Series. 898. 82040–82040. 2 indexed citations
7.
McCance, G.J., et al.. (2015). Scaling Agile Infrastructure to People. Journal of Physics Conference Series. 664(2). 22026–22026. 4 indexed citations
8.
Andrade, Priscila Cristina da Silva Thiengo de, et al.. (2012). Review of CERN Data Centre Infrastructure. Journal of Physics Conference Series. 396(4). 42002–42002. 18 indexed citations
9.
Abadie, L., James W. Casey, Ákos Frohner, et al.. (2007). Grid-Enabled Standards-based Data Management. 60–71. 1 indexed citations
10.
Stewart, G. A., et al.. (2007). Storage and data management in EGEE. 69–77. 12 indexed citations
11.
Kunszt, Peter, et al.. (2006). Data Storage, Access and Catalogs in gLite. 166–170. 8 indexed citations
12.
Casey, James W., Ákos Frohner, L. P. Guy, et al.. (2003). Next-Generation EU DataGrid Data Management Services. arXiv (Cornell University). 9 indexed citations
13.
McCance, G.J.. (2003). Metadata Management in the EU DataGrid.. 1 indexed citations

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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