Big Data Research

356 papers and 5.5k indexed citations i.

About

The 356 papers published in Big Data Research in the last decades have received a total of 5.5k indexed citations. Papers published in Big Data Research usually cover Artificial Intelligence (132 papers), Information Systems (81 papers) and Computer Networks and Communications (80 papers) specifically the topics of Cloud Computing and Resource Management (39 papers), Data Management and Algorithms (30 papers) and Big Data and Business Intelligence (24 papers). The most active scholars publishing in Big Data Research are Minseo Kang, Jae-Gil Lee, Xiaolong Jin, Yuanzhuo Wang, Benjamin W. Wah, Xueqi Cheng, George K. Karagiannidis, H. V. Jagadish, Sherif Sakr and Kamal Taha.

In The Last Decade

Fields of papers published in Big Data Research

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries where authors publish in Big Data Research

Since Specialization
Citations

This map shows the geographic impact of research published in Big Data Research. 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 Research 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 Research 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