Knowledge and Information Systems

2.4k papers and 46.5k indexed citations i.

About

The 2.4k papers published in Knowledge and Information Systems in the last decades have received a total of 46.5k indexed citations. Papers published in Knowledge and Information Systems usually cover Artificial Intelligence (1.6k papers), Information Systems (813 papers) and Signal Processing (539 papers) specifically the topics of Data Management and Algorithms (364 papers), Data Mining Algorithms and Applications (331 papers) and Complex Network Analysis Techniques (218 papers). The most active scholars publishing in Knowledge and Information Systems are Eamonn Keogh, Carlos A. Coello Coello, Igor Kononenko, Erik Štrumbelj, Chotirat Ann Ratanamahatana, Zhi‐Hua Zhou, Diane J. Cook, Philip S. Yu, Jure Leskovec and Jaewon Yang.

In The Last Decade

Fields of papers published in Knowledge and Information Systems

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers published in Knowledge and Information Systems. 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 Knowledge and Information Systems.

Countries where authors publish in Knowledge and Information Systems

Since Specialization
Citations

This map shows the geographic impact of research published in Knowledge and Information Systems. 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 Knowledge and Information Systems with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Knowledge and Information Systems 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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2025