J. Elmsheuser

9.9k total citations
32 papers, 131 citations indexed

About

J. Elmsheuser is a scholar working on Computer Networks and Communications, Information Systems and Management and Nuclear and High Energy Physics. According to data from OpenAlex, J. Elmsheuser has authored 32 papers receiving a total of 131 indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Computer Networks and Communications, 20 papers in Information Systems and Management and 9 papers in Nuclear and High Energy Physics. Recurrent topics in J. Elmsheuser's work include Distributed and Parallel Computing Systems (29 papers), Advanced Data Storage Technologies (24 papers) and Scientific Computing and Data Management (20 papers). J. Elmsheuser is often cited by papers focused on Distributed and Parallel Computing Systems (29 papers), Advanced Data Storage Technologies (24 papers) and Scientific Computing and Data Management (20 papers). J. Elmsheuser collaborates with scholars based in Switzerland, Germany and United States. J. Elmsheuser's co-authors include F. Legger, A. Di Girolamo, R. W. Gardner, S. Campana, Andrew Hanushevsky, G. Duckeck, Wei Yang, I. Vukotić, M. Slater and A. Krasznahorkay and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Nuclear Science and Journal of Physics Conference Series.

In The Last Decade

J. Elmsheuser

31 papers receiving 127 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
J. Elmsheuser Switzerland 7 111 64 39 17 12 32 131
A. Di Girolamo Switzerland 6 100 0.9× 59 0.9× 30 0.8× 13 0.8× 13 1.1× 35 114
S. Ponce Switzerland 6 83 0.7× 37 0.6× 23 0.6× 13 0.8× 18 1.5× 16 94
A. Vaniachine United States 6 86 0.8× 35 0.5× 31 0.8× 13 0.8× 21 1.8× 16 100
T. Boccali Italy 6 79 0.7× 24 0.4× 37 0.9× 13 0.8× 20 1.7× 37 106
M. Bargiotti Italy 4 81 0.7× 41 0.6× 68 1.7× 18 1.1× 12 1.0× 6 138
Dave Dykstra United States 7 111 1.0× 49 0.8× 30 0.8× 17 1.0× 13 1.1× 37 123
N. Magini Switzerland 7 108 1.0× 50 0.8× 35 0.9× 22 1.3× 12 1.0× 24 120
M. Paterno United States 7 69 0.6× 34 0.5× 48 1.2× 17 1.0× 19 1.6× 27 119
P Saiz Switzerland 8 175 1.6× 86 1.3× 40 1.0× 36 2.1× 37 3.1× 23 194
C. Serfon Switzerland 6 141 1.3× 72 1.1× 43 1.1× 16 0.9× 13 1.1× 35 145

Countries citing papers authored by J. Elmsheuser

Since Specialization
Citations

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

Fields of papers citing papers by J. Elmsheuser

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of J. Elmsheuser

This figure shows the co-authorship network connecting the top 25 collaborators of J. Elmsheuser. A scholar is included among the top collaborators of J. Elmsheuser 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 J. Elmsheuser. J. Elmsheuser 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.
Schaarschmidt, J., J. R. Catmore, J. Elmsheuser, et al.. (2024). PHYSLITE - A new reduced common data format for ATLAS. SHILAP Revista de lepidopterología. 295. 6017–6017. 1 indexed citations
4.
Sandesara, J. A., et al.. (2024). ATLAS Data Analysis using a Parallel Workflow on Distributed Cloud-based Services with GPUs. SHILAP Revista de lepidopterología. 295. 4007–4007. 1 indexed citations
5.
Elmsheuser, J., A. De Salvo, R. Hauser, et al.. (2024). The ATLAS experiment software on ARM. SHILAP Revista de lepidopterología. 295. 5019–5019. 1 indexed citations
6.
De, K., J. Elmsheuser, A. Klimentov, et al.. (2021). Seamless integration of commercial Clouds with ATLAS Distributed Computing. SHILAP Revista de lepidopterología. 251. 2005–2005. 3 indexed citations
7.
Barisits, M-S., M. Borodin, A. Di Girolamo, et al.. (2020). ATLAS Data Carousel. SHILAP Revista de lepidopterología. 245. 4035–4035. 11 indexed citations
8.
Elmsheuser, J. & A. Di Girolamo. (2019). Overview of the ATLAS distributed computing system. SHILAP Revista de lepidopterología. 214. 3010–3010. 5 indexed citations
9.
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
10.
Barreiro, F., J. T. Childers, K. De, et al.. (2019). The Future of Distributed Computing Systems in ATLAS: Boldly Venturing Beyond Grids. SHILAP Revista de lepidopterología. 214. 3047–3047. 2 indexed citations
11.
Elmsheuser, J., L. Heinrich, G. A. Stewart, & M. Vogel. (2018). Using containers with ATLAS offline software. Journal of Physics Conference Series. 1085. 32042–32042. 1 indexed citations
12.
Elmsheuser, J., et al.. (2017). Large Scale Software Building with CMake in ATLAS. Journal of Physics Conference Series. 898. 72010–72010. 2 indexed citations
13.
Elmsheuser, J., et al.. (2017). A Roadmap to Continuous Integration for ATLAS Software Development. Journal of Physics Conference Series. 898. 72009–72009. 2 indexed citations
14.
Gardner, R. W., S. Campana, G. Duckeck, et al.. (2014). Data federation strategies for ATLAS using XRootD. Journal of Physics Conference Series. 513(4). 42049–42049. 28 indexed citations
15.
Llamas, Ramón, et al.. (2014). Testing as a Service with HammerCloud. Journal of Physics Conference Series. 513(6). 62031–62031. 1 indexed citations
16.
Elmsheuser, J., J. Ebke, U. Egede, et al.. (2011). Reinforcing user data analysis with Ganga in the LHC era: scalability, monitoring and user-support. Journal of Physics Conference Series. 331(7). 72011–72011. 2 indexed citations
17.
Elmsheuser, J., et al.. (2011). LHC Data Analysis Using NFSv4.1 (pNFS): A Detailed Evaluation. Journal of Physics Conference Series. 331(5). 52010–52010. 6 indexed citations
18.
Brochu, F., U. Egede, J. Elmsheuser, et al.. (2010). Ganga: User-friendly Grid job submission and management tool for LHC and beyond. Journal of Physics Conference Series. 219(7). 72022–72022. 4 indexed citations
19.
Elmsheuser, J., U. Egede, Benjamin Gaidioz, et al.. (2010). Distributed analysis in ATLAS using GANGA. Journal of Physics Conference Series. 219(7). 72002–72002. 7 indexed citations
20.
Elmsheuser, J., et al.. (2010). Functional and large-scale testing of the ATLAS distributed analysis facilities with Ganga. Journal of Physics Conference Series. 219(7). 72021–72021. 8 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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