S. Valat

784 total citations
11 papers, 29 citations indexed

About

S. Valat is a scholar working on Nuclear and High Energy Physics, Computer Networks and Communications and Radiation. According to data from OpenAlex, S. Valat has authored 11 papers receiving a total of 29 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Nuclear and High Energy Physics, 7 papers in Computer Networks and Communications and 3 papers in Radiation. Recurrent topics in S. Valat's work include Particle Detector Development and Performance (9 papers), Particle physics theoretical and experimental studies (4 papers) and Distributed and Parallel Computing Systems (4 papers). S. Valat is often cited by papers focused on Particle Detector Development and Performance (9 papers), Particle physics theoretical and experimental studies (4 papers) and Distributed and Parallel Computing Systems (4 papers). S. Valat collaborates with scholars based in Switzerland, Italy and Greece. S. Valat's co-authors include Niko Neufeld, R. Schwemmer, F. Pisani, T. Colombo, R. D. Krawczyk, P. Durante, B. Voneki, D. Galli, U. Marconi and M. Manzali and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Parallel and Distributed Systems and IEEE Transactions on Nuclear Science.

In The Last Decade

S. Valat

11 papers receiving 29 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
S. Valat Switzerland	4	21	17	7	4	4	11	29
T. Colombo Switzerland	4	28 1.3×	16 0.9×	6 0.9×	5 1.3×	3 0.8×	13	32
F. Pisani Switzerland	5	28 1.3×	27 1.6×	6 0.9×	4 1.0×	4 1.0×	14	37
M. Duranti Italy	4	12 0.6×	19 1.1×	6 0.9×	3 0.8×	2 0.5×	14	30
M. Manzali Italy	4	18 0.9×	16 0.9×	7 1.0×	2 0.5×	3 0.8×	14	29
S. Kama United States	3	12 0.6×	7 0.4×	6 0.9×	3 0.8×	2 0.5×	9	15
D. Levinthal United States	5	20 1.0×	20 1.2×	15 2.1×	7 1.8×	3 0.8×	9	40
T. Breitner Germany	3	18 0.9×	27 1.6×	4 0.6×	4 1.0×		5	35
J. Strube United States	6	9 0.4×	41 2.4×	6 0.9×	2 0.5×	8 2.0×	19	65
M. J. Bly United Kingdom	3	19 0.9×	6 0.4×	7 1.0×	4 1.0×	2 0.5×	6	31
H. Severini United States	3	16 0.8×	8 0.5×	9 1.3×	3 0.8×	2 0.5×	5	22

Countries citing papers authored by S. Valat

Since Specialization

Citations

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

Fields of papers citing papers by S. Valat

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of S. Valat

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

All Works

Sort: Min cites: Since: Top N: Style:

11 of 11 papers shown

1.

Krawczyk, R. D., T. Colombo, Niko Neufeld, F. Pisani, & S. Valat. (2022). Ethernet for High-Throughput Computing at CERN. IEEE Transactions on Parallel and Distributed Systems. 33(12). 3640–3650. 2 indexed citations

2.

Krawczyk, R. D., T. Colombo, Niko Neufeld, F. Pisani, & S. Valat. (2020). Feasibility tests of RoCE v2 for LHCb event building. SHILAP Revista de lepidopterología. 245. 1011–1011. 5 indexed citations

3.

Colombo, T., P. Durante, D. Galli, et al.. (2019). Flit-Level InfiniBand Network Simulations of the DAQ System of the LHCb Experiment for Run-3. IEEE Transactions on Nuclear Science. 66(7). 1159–1164. 5 indexed citations

4.

Colombo, T., P. Durante, D. Galli, et al.. (2019). The LHCb DAQ Upgrade for LHC Run3. IEEE Transactions on Nuclear Science. 66(7). 982–985. 4 indexed citations

5.

Valat, S., et al.. (2019). uMMAP-IO: User-Level Memory-Mapped I/O for HPC. 363–372. 3 indexed citations

6.

Valat, S., et al.. (2017). Exploring RapidIO Technology Within a DAQ System Event Building Network. IEEE Transactions on Nuclear Science. 64(9). 2598–2605. 3 indexed citations

7.

Valat, S., et al.. (2017). An Evaluation of 100-Gb/s LAN Networks for the LHCb DAQ Upgrade. IEEE Transactions on Nuclear Science. 64(6). 1480–1485. 1 indexed citations

8.

Valat, S., et al.. (2017). RapidIO as a multi-purpose interconnect. Journal of Physics Conference Series. 898. 82007–82007. 2 indexed citations

9.

Manzali, M., F. Giacomini, U. Marconi, et al.. (2017). Large-Scale DAQ Tests for the LHCb Upgrade. IEEE Transactions on Nuclear Science. 64(6). 1486–1493. 1 indexed citations

10.

Valat, S., et al.. (2016). Exploring RapidIO technology within a DAQ system event building network. CERN Bulletin. 1–4. 1 indexed citations

11.

Voneki, B., et al.. (2016). Evaluation of 100 Gb/s LAN networks for the LHCb DAQ upgrade. CERN Bulletin. 62. 1–3. 2 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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