Big Data

388 papers and 6.6k indexed citations

About

The 388 papers published in Big Data in the last decades have received a total of 6.6k indexed citations. Papers published in Big Data usually cover Artificial Intelligence (139 papers), Information Systems (64 papers) and Management Science and Operations Research (48 papers) specifically the topics of Big Data and Business Intelligence (36 papers), Anomaly Detection Techniques and Applications (23 papers) and Complex Network Analysis Techniques (22 papers). The most active scholars publishing in Big Data are Melanie Swan, Tom Fawcett, Foster Provost, Dongwon Lee, Huan Liu, Kai Shu, Suhang Wang, Luís M. A. Bettencourt, Ahmad B. Hassanat and Gina Neff.

In The Last Decade

Big Data

336 papers receiving 6.3k citations

Fields of papers published in Big Data

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers published in Big Data. 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 Big Data.

Countries where authors publish in Big Data

Since Specialization
Citations

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