PeerJ Computer Science

2.2k papers and 20.2k indexed citations i.

About

The 2.2k papers published in PeerJ Computer Science in the last decades have received a total of 20.2k indexed citations. Papers published in PeerJ Computer Science usually cover Artificial Intelligence (916 papers), Computer Vision and Pattern Recognition (450 papers) and Information Systems (447 papers) specifically the topics of Topic Modeling (137 papers), Sentiment Analysis and Opinion Mining (128 papers) and Advanced Neural Network Applications (90 papers). The most active scholars publishing in PeerJ Computer Science are Davide Chicco, Matthijs J. Warrens, Giuseppe Jurman, Christopher Fonnesbeck, Thomas V. Wiecki, John Salvatier, Jordan Anaya, Florian P. Breitwieser, Steven L. Salzberg and Jennifer Lu.

In The Last Decade

Fields of papers published in PeerJ Computer Science

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries where authors publish in PeerJ Computer Science

Since Specialization
Citations

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