Computing and Software for Big Science Template
Write in a clean editor, then format for Computing and Software for Big Science in one click — DocuGuru applies the official Springer Nature template with superscript references and exports a submission-ready PDF plus the editable LaTeX source. Free to start.
About the Computing and Software for Big Science format
Computing and Software for Big Science is a peer-reviewed journal published by Springer Nature, covering Particle physics theoretical and experimental studies, Particle Detector Development and Performance, Distributed and Parallel Computing Systems.
| Publisher | Springer Nature |
|---|---|
| Reference style | Superscript numbered (Nature) Superscript — small raised numerals in the text 1. Smith, A., Jones, B. & Lee, C. A representative article title. Computing and Software for Big Science 12, 45–58 (2023).
Formats any DOI in Computing and Software for Big Science style. No sign-up. |
| Publishes research in | Particle physics theoretical and experimental studies Particle Detector Development and Performance Distributed and Parallel Computing Systems Advanced Data Storage Technologies Scientific Computing and Data Management |
| ISSN | 2510-2036 |
| Citation impact (2-yr) | 7.37 |
| h-index | 28 |
| i10-index | 54 |
| Total citations | 3,044 |
| Article processing charge | $3,280 |
| Top institutions publishing here | European Organization for Nuclear Research |
| Journal website | link.springer.com |
| You get | A submission-ready PDF and the editable LaTeX source — ready to submit. |
Papers published in Computing and Software for Big Science per year
Citation impact of Computing and Software for Big Science by publication year
Citations each year’s papers have accumulated so far — the most recent years are still building up.
Most-cited papers in Computing and Software for Big Science
Modern high-energy physics (HEP) enterprises, such as the Belle II experiment (Abe et al, Belle II Technical Design Report. KEK Report 2010-1, 2010 ; Kou et al, The Belle II Physics book. KEK Preprint 2018-27, 2018 ) at the KEK laboratory in Japan, create huge amounts of data. Sophisticated algorithms for simulation, reconstruction, visualization, and…
Rucio is an open-source software framework that provides scientific collaborations with the functionality to organize, manage, and access their data at scale. The data can be distributed across heterogeneous data centers at widely distributed locations. Rucio was originally developed to meet the requirements of the high-energy physics experiment ATLAS, and now is continuously extended to…
Particle physics has an ambitious and broad experimental programme for the coming decades. This programme requires large investments in detector hardware, either to build new facilities and experiments, or to upgrade existing ones. Similarly, it requires commensurate investment in the R&D of software to acquire, manage, process, and analyse the shear amounts of data to…
Abstract Accurate simulation of physical processes is crucial for the success of modern particle physics. However, simulating the development and interaction of particle showers with calorimeter detectors is a time consuming process and drives the computing needs of large experiments at the LHC and future colliders. Recently, generative machine learning models based on deep neural…