SN Computer Science

2.8k papers and 15.6k indexed citations i.

About

The 2.8k papers published in SN Computer Science in the last decades have received a total of 15.6k indexed citations. Papers published in SN Computer Science usually cover Artificial Intelligence (1.1k papers), Computer Vision and Pattern Recognition (679 papers) and Computer Networks and Communications (539 papers) specifically the topics of Network Security and Intrusion Detection (159 papers), IoT and Edge/Fog Computing (155 papers) and COVID-19 diagnosis using AI (145 papers). The most active scholars publishing in SN Computer Science are Iqbal H. Sarker, Md. Milon Islam, R. R. Sedamkar, L. J. Muhammad, Sani Sharif Usman, Md. Rashedul Islam, Saurabh Pal, Santosh Kumar Bharti, Samir Patel and Devansh Shah.

In The Last Decade

Fields of papers published in SN Computer Science

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries where authors publish in SN Computer Science

Since Specialization
Citations

This map shows the geographic impact of research published in SN 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 SN 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 SN 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.

Explore journals with similar magnitude of impact

Rankless by CCL
2025