C. Serfon

7.1k total citations
35 papers, 145 citations indexed

About

C. Serfon is a scholar working on Computer Networks and Communications, Information Systems and Management and Nuclear and High Energy Physics. According to data from OpenAlex, C. Serfon has authored 35 papers receiving a total of 145 indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Computer Networks and Communications, 20 papers in Information Systems and Management and 11 papers in Nuclear and High Energy Physics. Recurrent topics in C. Serfon's work include Distributed and Parallel Computing Systems (31 papers), Advanced Data Storage Technologies (25 papers) and Scientific Computing and Data Management (18 papers). C. Serfon is often cited by papers focused on Distributed and Parallel Computing Systems (31 papers), Advanced Data Storage Technologies (25 papers) and Scientific Computing and Data Management (18 papers). C. Serfon collaborates with scholars based in Switzerland, Germany and United States. C. Serfon's co-authors include M. Lassnig, V. Garonne, M-S. Barisits, A. M. Nairz, L. Goossens, R. Vigne, G. A. Stewart, T. A. Beermann, T. A. Beermann and T. Javůrek and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Physics Conference Series and Nuclear and Particle Physics Proceedings.

In The Last Decade

C. Serfon

28 papers receiving 139 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
C. Serfon Switzerland 6 141 72 43 16 13 35 145
J. Elmsheuser Switzerland 7 111 0.8× 64 0.9× 39 0.9× 17 1.1× 12 0.9× 32 131
A. Di Girolamo Switzerland 6 100 0.7× 59 0.8× 30 0.7× 13 0.8× 13 1.0× 35 114
S. Campana Switzerland 6 108 0.8× 62 0.9× 31 0.7× 22 1.4× 13 1.0× 30 123
P. van Gemmeren United States 8 128 0.9× 53 0.7× 79 1.8× 11 0.7× 16 1.2× 33 148
P. Nilsson United States 5 109 0.8× 62 0.9× 32 0.7× 16 1.0× 16 1.2× 25 119
A. M. Nairz Switzerland 7 123 0.9× 53 0.7× 60 1.4× 10 0.6× 12 0.9× 20 140
R. Santinelli Switzerland 4 112 0.8× 57 0.8× 44 1.0× 27 1.7× 17 1.3× 10 140
D. Spiga Italy 7 143 1.0× 65 0.9× 42 1.0× 24 1.5× 28 2.2× 52 156
N. Magini Switzerland 7 108 0.8× 50 0.7× 35 0.8× 22 1.4× 12 0.9× 24 120
A. Vaniachine United States 6 86 0.6× 35 0.5× 31 0.7× 13 0.8× 21 1.6× 16 100

Countries citing papers authored by C. Serfon

Since Specialization
Citations

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

Fields of papers citing papers by C. Serfon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of C. Serfon

This figure shows the co-authorship network connecting the top 25 collaborators of C. Serfon. A scholar is included among the top collaborators of C. Serfon 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 C. Serfon. C. Serfon is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Borodin, M., K. De, J. Elmsheuser, et al.. (2024). Accelerating science: The usage of commercial clouds in ATLAS Distributed Computing. SHILAP Revista de lepidopterología. 295. 7002–7002. 1 indexed citations
2.
Barisits, M-S., R. M. Barnsley, J. Elmsheuser, et al.. (2024). Extending Rucio with modern cloud storage support. SHILAP Revista de lepidopterología. 295. 1030–1030. 1 indexed citations
3.
Hara, T., M. Hernández Villanueva, H. Miyake, et al.. (2024). Migration to WebDAV in Belle II Experiment. SHILAP Revista de lepidopterología. 295. 1038–1038.
4.
Stagni, F., A. Boyer, A. Tsaregorodtsev, et al.. (2024). DIRAC current, upcoming and planned capabilities and technologies. SHILAP Revista de lepidopterología. 295. 4018–4018.
5.
Lassnig, M., M-S. Barisits, P. Laycock, et al.. (2020). Rucio beyond ATLAS: experiences from Belle II, CMS, DUNE, EISCAT3D, LIGO/VIRGO, SKA, XENON. SHILAP Revista de lepidopterología. 245. 11006–11006. 3 indexed citations
6.
Barisits, M-S., T. A. Beermann, V. Garonne, et al.. (2018). The ATLAS Data Management System Rucio: Supporting LHC Run-2 and beyond. Journal of Physics Conference Series. 1085. 32030–32030. 8 indexed citations
7.
Beermann, T. A., M. Lassnig, M-S. Barisits, C. Serfon, & V. Garonne. (2017). C3PO - A Dynamic Data Placement Agent for ATLAS Distributed Data Management. Journal of Physics Conference Series. 898. 62012–62012. 2 indexed citations
8.
Garonne, V., M-S. Barisits, T. A. Beermann, et al.. (2017). Experiences with the new ATLAS Distributed Data Management System. Journal of Physics Conference Series. 898. 62019–62019. 3 indexed citations
9.
Serfon, C., M-S. Barisits, T. A. Beermann, et al.. (2016). Rucio, the next-generation Data Management system in ATLAS. Nuclear and Particle Physics Proceedings. 273-275. 969–975. 8 indexed citations
10.
Barisits, M-S., C. Serfon, V. Garonne, et al.. (2014). ATLAS Replica Management in Rucio: Replication Rules and Subscriptions. Journal of Physics Conference Series. 513(4). 42003–42003. 8 indexed citations
11.
Beermann, T. A., Peter Maettig, G. A. Stewart, et al.. (2014). Popularity Prediction Tool for ATLAS Distributed Data Management. Journal of Physics Conference Series. 513(4). 42004–42004. 3 indexed citations
12.
Serfon, C., M-S. Barisits, T. A. Beermann, et al.. (2014). ATLAS DQ2 to Rucio renaming infrastructure. Journal of Physics Conference Series. 513(4). 42008–42008. 2 indexed citations
13.
Vigne, R., Erich Schikuta, V. Garonne, et al.. (2014). DDM Workload Emulation. Journal of Physics Conference Series. 513(4). 42048–42048. 2 indexed citations
14.
Garonne, V., R. Vigne, G. A. Stewart, et al.. (2014). Rucio – The next generation of large scale distributed system for ATLAS Data Management. Journal of Physics Conference Series. 513(4). 42021–42021. 38 indexed citations
15.
Stewart, G. A., V. Garonne, M. Lassnig, et al.. (2012). Advances in service and operations for ATLAS data management. Journal of Physics Conference Series. 368. 12005–12005. 2 indexed citations
16.
Lanciotti, E., N. Magini, N. Ratnikova, et al.. (2012). Data Storage Accounting and Verification at LHC experiments. Journal of Physics Conference Series. 396(3). 32090–32090. 2 indexed citations
17.
Campana, S., et al.. (2012). Evolving ATLAS Computing For Today's Networks. Journal of Physics Conference Series. 396(3). 32019–32019. 4 indexed citations
18.
Serfon, C. & V. Garonne. (2011). The consistency service of the ATLAS Distributed Data Management system. Journal of Physics Conference Series. 331(7). 72065–72065. 2 indexed citations
19.
Dai, T., A. De Salvo, E. B. Diehl, et al.. (2010). The ATLAS MDT remote calibration centers. Journal of Physics Conference Series. 219(2). 22028–22028.
20.
Serfon, C.. (2010). Data management tools and operational procedures in ATLAS : Example of the German cloud. Journal of Physics Conference Series. 219(4). 42053–42053. 5 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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