DATA CLUSTERING

382 indexed citations
published 2013

Countries where authors are citing DATA CLUSTERING

Specialization
Citations

This map shows the geographic impact of DATA CLUSTERING. 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 DATA CLUSTERING with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites DATA CLUSTERING more than expected).

Fields of papers citing DATA CLUSTERING

Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of DATA CLUSTERING. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the DATA CLUSTERING.

About DATA CLUSTERING

This paper, published in 2013, received 382 indexed citations . Written by Charų C. Aggarwal. It is primarily cited by scholars working on Artificial Intelligence (208 citations), Computer Vision and Pattern Recognition (96 citations) and Signal Processing (78 citations).

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.

This paper is also available at doi.org/10.1201/b15410.

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