Computer Science Review

470 papers and 20.2k indexed citations i.

About

The 470 papers published in Computer Science Review in the last decades have received a total of 20.2k indexed citations. Papers published in Computer Science Review usually cover Artificial Intelligence (183 papers), Computer Networks and Communications (157 papers) and Information Systems (129 papers) specifically the topics of IoT and Edge/Fog Computing (47 papers), Advanced Malware Detection Techniques (36 papers) and Network Security and Intrusion Detection (34 papers). The most active scholars publishing in Computer Science Review are Satu Elisa Schaeffer, Mantas Lukoševičius, Herbert Jaeger, Thierry Bouwmans, Dimitrios M. Thilikos, Ping Wang, Shi Dong, Khushnood Abbas, Mariëlle Stoelinga and Enno Ruijters.

In The Last Decade

Fields of papers published in Computer Science Review

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers published in Computer Science Review. 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 Computer Science Review.

Countries where authors publish in Computer Science Review

Since Specialization
Citations

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