Computing in Science & Engineering

Computing in Science & Engineering (CiSE) is a bimonthly technical magazine published by the IEEE Computer Society. It was founded in 1999 from the merger of two publications: Computational Science & Engineering (CS&E) and Computers in Physics (CIP), the first published by IEEE and the second by the American Institute of Physics (AIP).[1][2] The founding editor-in-chief was George Cybenko,[3] known for proving one of the first versions of the universal approximation theorem of neural networks.

The magazine is interdisciplinary and covers topics such as numerical simulation, modeling, and data analysis and visualization. CiSE aims to provide its readers with practical information on the latest developments in computational methods and their applications in science and engineering. Computing in Science & Engineering publishes peer-reviewed technical articles, special issues, editorials, and departments (regular columns).

Notable articles

One of the most notable articles published in CiSE is "Matplotlib: A 2D Graphics Environment," by the late John D. Hunter.[4] It shows nearly 20 thousand full-text views and more than 15 thousand citations in IEEE Xplore (checked March 27, 2023). A very popular department article is "What is the Blockchain?" by member of the editorial board Massimo DiPierro.[5] Other notable articles include "Python for Scientific Computing" by Travis Oliphant,[6] which has nearly 15 thousand views in Xplore, and "The NumPy Array: A Structure for Efficient Numerical Computation," by Stefan van der Walt et al.[7]

The winner of the CiSE 2021 Best Paper Award was "Jupyter: Thinking and Storytelling With Code and Data," by Brian E. Granger and Fernando Pérez.[8]

References
  1. "CSDL | IEEE Computer Society". www.computer.org. Retrieved 2023-03-27.
  2. Holmes, Lewis M.; Cybenko, George (1998-11-01). "New Magazine Expands AIP's Computers in Physics and IEEE Computational Science & Engineering". Computers in Physics. 12 (6): 516–517. doi:10.1063/1.4822642. ISSN 0894-1866.
  3. "George Cybenko – George Cybenko's Personal Home Page". sites.dartmouth.edu. Retrieved 2023-03-27.
  4. Hunter, John D. (2007). "Matplotlib: A 2D Graphics Environment". Computing in Science & Engineering. 9 (3): 90–95. doi:10.1109/MCSE.2007.55. ISSN 1521-9615.
  5. Di Pierro, Massimo (2017). "What Is the Blockchain?". Computing in Science & Engineering. 19 (5): 92–95. doi:10.1109/MCSE.2017.3421554. ISSN 1521-9615.
  6. Oliphant, Travis E. (2007). "Python for Scientific Computing". Computing in Science & Engineering. 9 (3): 10–20. doi:10.1109/MCSE.2007.58. ISSN 1521-9615.
  7. van der Walt, Stéfan; Colbert, S Chris; Varoquaux, Gaël (2011). "The NumPy Array: A Structure for Efficient Numerical Computation". Computing in Science & Engineering. 13 (2): 22–30. doi:10.1109/MCSE.2011.37. ISSN 1521-9615.
  8. Granger, Brian E.; Perez, Fernando (2021-03-01). "Jupyter: Thinking and Storytelling With Code and Data". Computing in Science & Engineering. 23 (2): 7–14. doi:10.1109/MCSE.2021.3059263. ISSN 1521-9615.
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