Computing in Science & Engineering

70.8k citations
1.7k papers · · active since 1950

Impact in

    • Astronomy and Astrophysical Research
    • Stellar, planetary, and galactic studies
    • Galaxies: Formation, Evolution, Phenomena
    • Astrophysics and Star Formation Studies
    • Gamma-ray bursts and supernovae

Papers in

Computing in Science & Engineering

1.4k papers receiving 65.1k citations

Peers

Computing in Science & Engineering
Comparison fields: 5 of 242
  • Instrumentation 4.0k
  • Astronomy and Astrophysics 15.1k
  • Information Systems and Management 3.6k
  • Hardware and Architecture 3.1k
  • Computer Networks and Communications 6.7k
Replace Journal of the Royal Statistical Society Series B (Statistical Methodology) with:
Journal of the Royal Statistical Society Series B (Statistical Methodology) United States
Bell System Technical Journal United States
IEEE Signal Processing Magazine United States
SIAM Review United States
Machine Learning United States
ACM Transactions on Mathematical Software United States
Statistical Science United States
Neural Computation United States
IBM Journal of Research and Development United States
International Journal of Computer Vision United States
Computing in Science & Engineering relative to Journal of the Royal Statistical Society Series B (Statistical Methodology) United States Journal of the Royal Statistical Society Series B (Statistical Methodology)'s profile →
Citations per field
00.5×11.4×
Journal of the Royal Statistical Society Series B (Statistical Methodology) · 1×
Citations per year

Countries where authors publish in Computing in Science & Engineering

Since Specialization
Citations

This map shows the geographic impact of research published in Computing in Science & Engineering. 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 papers published in Computing in Science & Engineering with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Computing in Science & Engineering more than expected).

Fields of papers published in Computing in Science & Engineering

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers published in Computing in Science & Engineering. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers published in Computing in Science & Engineering.

About Computing in Science & Engineering

The 1.7k papers published in Computing in Science & Engineering in the last decades have received a total of 70.8k indexed citations . Papers published in Computing in Science & Engineering usually cover Information Systems and Management (329 papers), Hardware and Architecture (162 papers), Computer Graphics and Computer-Aided Design (70 papers), Computer Networks and Communications (393 papers) and Information Systems (212 papers) specifically the topics of Scientific Computing and Data Management (322 papers), Distributed and Parallel Computing Systems (291 papers), Parallel Computing and Optimization Techniques (151 papers), Advanced Data Storage Technologies (116 papers), Computational Physics and Python Applications (95 papers), Cloud Computing and Resource Management (70 papers), Data Visualization and Analytics (69 papers) and Research Data Management Practices (68 papers). The most active scholars publishing in Computing in Science & Engineering are John D. Hunter, Gaël Varoquaux, Travis E. Oliphant, Stéfan van der Walt, Brian Granger, Fernando Pérez, Frank McKenna, Dietrich Braess, Karsten W. Jacobsen and D. P. Landau.

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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