Reliable Computing

440 papers and 4.1k indexed citations i.

About

The 440 papers published in Reliable Computing in the last decades have received a total of 4.1k indexed citations. Papers published in Reliable Computing usually cover Computational Theory and Mathematics (300 papers), Control and Systems Engineering (78 papers) and Signal Processing (73 papers) specifically the topics of Numerical Methods and Algorithms (260 papers), Polynomial and algebraic computation (115 papers) and Digital Filter Design and Implementation (65 papers). The most active scholars publishing in Reliable Computing are Sergey P. Shary, Arnold Neumaier, Lubomir V. Kolev, Martin Berz, Kyoko Makino, Владик Крейнович, Gilles Mauris, Didier Dubois, Henri Prade and Laurent Foulloy.

In The Last Decade

Fields of papers published in Reliable Computing

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers published in Reliable Computing. 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 Reliable Computing.

Countries where authors publish in Reliable Computing

Since Specialization
Citations

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

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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