V. Bartsch

47.4k total citations
12 papers, 46 citations indexed

About

V. Bartsch is a scholar working on Computer Networks and Communications, Hardware and Architecture and Radiation. According to data from OpenAlex, V. Bartsch has authored 12 papers receiving a total of 46 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Computer Networks and Communications, 4 papers in Hardware and Architecture and 3 papers in Radiation. Recurrent topics in V. Bartsch's work include Parallel Computing and Optimization Techniques (4 papers), Advanced Data Storage Technologies (4 papers) and Particle Detector Development and Performance (3 papers). V. Bartsch is often cited by papers focused on Parallel Computing and Optimization Techniques (4 papers), Advanced Data Storage Technologies (4 papers) and Particle Detector Development and Performance (3 papers). V. Bartsch collaborates with scholars based in Germany, United Kingdom and Sweden. V. Bartsch's co-authors include G. Quast, D. Pleiter, Alistair Hart, Manolis Marazakis, Antoniu Pop, Petar Radojković, Stefano Markidis, Dominique Drouin, Benoît Dupont de Dinechin and Daniel Raho and has published in prestigious journals such as Nuclear Instruments and Methods in Physics Research Section A Accelerators Spectrometers Detectors and Associated Equipment, Physical Review Research and The International Journal of High Performance Computing Applications.

In The Last Decade

V. Bartsch

9 papers receiving 44 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
V. Bartsch Germany 4 24 21 12 10 8 12 46
Sverre Jarp Switzerland 5 29 1.2× 25 1.2× 26 2.2× 12 1.2× 6 0.8× 18 57
D. Petravick United States 5 43 1.8× 10 0.5× 17 1.4× 11 1.1× 4 0.5× 17 56
S. Stancu Switzerland 5 44 1.8× 8 0.4× 11 0.9× 11 1.1× 6 0.8× 17 55
S. Baehr Germany 5 24 1.0× 29 1.4× 6 0.5× 20 2.0× 4 0.5× 10 44
E. Berman United States 4 17 0.7× 4 0.2× 10 0.8× 8 0.8× 4 0.5× 12 29
D. Levinthal United States 5 20 0.8× 15 0.7× 20 1.7× 3 0.3× 7 0.9× 9 40
S. Valat Switzerland 4 21 0.9× 7 0.3× 17 1.4× 4 0.4× 4 0.5× 11 29
E. Cano Switzerland 6 43 1.8× 11 0.5× 19 1.6× 8 0.8× 4 0.5× 24 62
M. J. Bly United Kingdom 3 19 0.8× 7 0.3× 6 0.5× 2 0.2× 4 0.5× 6 31
Jean-Yves Berthou France 4 27 1.1× 16 0.8× 3 0.3× 7 0.7× 10 1.3× 8 45

Countries citing papers authored by V. Bartsch

Since Specialization
Citations

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

Fields of papers citing papers by V. Bartsch

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of V. Bartsch

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

All Works

12 of 12 papers shown
1.
Bartsch, V., et al.. (2025). Optimal number-conserved linear encoding for practical fermionic simulation. Physical Review Research. 7(3). 1 indexed citations
2.
Iakymchuk, Roman, et al.. (2021). Efficient and Eventually Consistent Collective Operations. arXiv (Cornell University). 621–630.
3.
Iakymchuk, Roman, et al.. (2018). Interoperability strategies for GASPI and MPI in large-scale scientific applications. The International Journal of High Performance Computing Applications. 33(3). 554–568. 3 indexed citations
4.
Aumage, Olivier, et al.. (2018). INTERTWinE, Programming Model INTERoperability ToWards Exascale, H2020. Impact. 2018(5). 45–47.
5.
Pinto, Christian, Daniel Raho, Denis Dutoit, et al.. (2017). Paving the Way Towards a Highly Energy-Efficient and Highly Integrated Compute Node for the Exascale Revolution: The ExaNoDe Approach. Research Explorer (The University of Manchester). 486–493. 20 indexed citations
6.
Gong, Jing, Ivy Peng, Stefano Markidis, et al.. (2015). Evaluation of Parallel Communication Models in Nekbone, a Nek5000 Mini-Application. Fraunhofer-Publica (Fraunhofer-Gesellschaft). 760–767. 8 indexed citations
7.
Bartsch, V.. (2012). The ATLAS trigger performance and evolution. 1781–1786. 1 indexed citations
9.
Bartsch, V., S. Belforte, R. Illingworth, et al.. (2005). Testing the CDF Distributed Computing Framework. CERN Document Server (European Organization for Nuclear Research). 1 indexed citations
10.
Bartsch, V. & G. Quast. (2003). Expected Signal Observability at Future Experiments. CERN Bulletin. 7 indexed citations
11.
Bartsch, V., W. de Boer, A. Dierlamm, et al.. (2002). Lorentz angle measurements in silicon detectors. Nuclear Instruments and Methods in Physics Research Section A Accelerators Spectrometers Detectors and Associated Equipment. 478(1-2). 330–332. 4 indexed citations
12.
Boer, W. de, V. Bartsch, A. Dierlamm, et al.. (2002). Measurements with a CMOS pixel sensor in magnetic fields. Nuclear Instruments and Methods in Physics Research Section A Accelerators Spectrometers Detectors and Associated Equipment. 487(1-2). 163–169. 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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