Open Computer Science

296 papers and 1.6k indexed citations

About

The 296 papers published in Open Computer Science in the last decades have received a total of 1.6k indexed citations. Papers published in Open Computer Science usually cover Artificial Intelligence (107 papers), Computer Vision and Pattern Recognition (74 papers) and Information Systems (71 papers) specifically the topics of Network Security and Intrusion Detection (15 papers), Software Engineering Research (15 papers) and Advanced Software Engineering Methodologies (13 papers). The most active scholars publishing in Open Computer Science are Raji Ghawi, Jürgen Pfeffer, M. Gethsiyal Augasta, T. Kathirvalavakumar, Adıtya Kumar Sahu, Kaushik Mishra, Santosh Kumar Majhi, Veenu Mangat, Satchidananda Dehuri and Sung‐Bae Cho.

In The Last Decade

Open Computer Science

251 papers receiving 1.5k citations

Fields of papers published in Open Computer Science

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries where authors publish in Open Computer Science

Since Specialization
Citations

This map shows the geographic impact of research published in Open 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 Open 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 Open 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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2026