M-S. Barisits

35.3k total citations
29 papers, 187 citations indexed

About

M-S. Barisits is a scholar working on Computer Networks and Communications, Information Systems and Management and Nuclear and High Energy Physics. According to data from OpenAlex, M-S. Barisits has authored 29 papers receiving a total of 187 indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Computer Networks and Communications, 15 papers in Information Systems and Management and 5 papers in Nuclear and High Energy Physics. Recurrent topics in M-S. Barisits's work include Distributed and Parallel Computing Systems (25 papers), Advanced Data Storage Technologies (21 papers) and Scientific Computing and Data Management (13 papers). M-S. Barisits is often cited by papers focused on Distributed and Parallel Computing Systems (25 papers), Advanced Data Storage Technologies (21 papers) and Scientific Computing and Data Management (13 papers). M-S. Barisits collaborates with scholars based in Switzerland, Austria and Germany. M-S. Barisits's co-authors include M. Lassnig, V. Garonne, C. Serfon, Dejan Kostić, Nedeljko Vasić, A. M. Nairz, L. Goossens, G. A. Stewart, R. Vigne and T. A. Beermann and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Computational Science and Journal of Physics Conference Series.

In The Last Decade

M-S. Barisits

27 papers receiving 174 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
M-S. Barisits Switzerland 8 179 66 50 35 21 29 187
P Saiz Switzerland 8 175 1.0× 86 1.3× 36 0.7× 40 1.1× 37 1.8× 23 194
D. Oleynik United States 10 211 1.2× 118 1.8× 35 0.7× 55 1.6× 36 1.7× 42 227
V. Garonne Switzerland 8 245 1.4× 110 1.7× 40 0.8× 57 1.6× 31 1.5× 45 260
S. Metson United Kingdom 7 133 0.7× 60 0.9× 29 0.6× 42 1.2× 13 0.6× 18 151
S. Campana Switzerland 6 108 0.6× 62 0.9× 22 0.4× 31 0.9× 13 0.6× 30 123
J. Elmsheuser Switzerland 7 111 0.6× 64 1.0× 17 0.3× 39 1.1× 12 0.6× 32 131
Ramiro Voicu United States 6 120 0.7× 24 0.4× 49 1.0× 11 0.3× 18 0.9× 21 126
Andrew Hanushevsky United States 6 128 0.7× 43 0.7× 21 0.4× 19 0.5× 32 1.5× 26 135
Benjamin Gaidioz Switzerland 9 193 1.1× 80 1.2× 24 0.5× 26 0.7× 26 1.2× 29 203
Ian Bird Switzerland 5 119 0.7× 63 1.0× 34 0.7× 20 0.6× 25 1.2× 8 146

Countries citing papers authored by M-S. Barisits

Since Specialization
Citations

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

Fields of papers citing papers by M-S. Barisits

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by M-S. Barisits. 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 M-S. Barisits. The network helps show where M-S. Barisits may publish in the future.

Co-authorship network of co-authors of M-S. Barisits

This figure shows the co-authorship network connecting the top 25 collaborators of M-S. Barisits. A scholar is included among the top collaborators of M-S. Barisits 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 M-S. Barisits. M-S. Barisits 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.
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
2.
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
3.
Barisits, M-S., et al.. (2020). Forecasting network throughput of remote data access in computing grids. Journal of Computational Science. 44. 101158–101158. 1 indexed citations
4.
Barisits, M-S., M. Borodin, A. Di Girolamo, et al.. (2020). ATLAS Data Carousel. SHILAP Revista de lepidopterología. 245. 4035–4035. 11 indexed citations
5.
Barisits, M-S., F. Barreiro, T. A. Beermann, et al.. (2019). The Data Ocean Project. SHILAP Revista de lepidopterología. 214. 4020–4020. 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.
Barisits, M-S., C. Serfon, V. Garonne, et al.. (2017). Automatic rebalancing of data in ATLAS distributed data management. Journal of Physics Conference Series. 898. 62006–62006. 1 indexed citations
10.
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
11.
Barisits, M-S., Eva Kühn, & M. Lassnig. (2016). A Hybrid Simulation Model for Data Grids. 9. 255–260. 1 indexed citations
12.
Barisits, M-S., C. Serfon, V. Garonne, et al.. (2015). Resource control in ATLAS distributed data management: Rucio Accounting and Quotas. Journal of Physics Conference Series. 664(6). 62002–62002. 2 indexed citations
13.
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
14.
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
15.
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
16.
Vigne, R., Erich Schikuta, V. Garonne, et al.. (2014). DDM Workload Emulation. Journal of Physics Conference Series. 513(4). 42048–42048. 2 indexed citations
17.
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
18.
Lassnig, M., V. Garonne, G. A. Stewart, et al.. (2014). The ATLAS data management software engineering process. Journal of Physics Conference Series. 513(5). 52017–52017. 1 indexed citations
19.
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
20.
Lassnig, M., et al.. (2011). A similarity measure for time, frequency, and dependencies in large-scale workloads. 1–11. 4 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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