Data Science Journal

745 papers and 5.9k indexed citations i.

About

The 745 papers published in Data Science Journal in the last decades have received a total of 5.9k indexed citations. Papers published in Data Science Journal usually cover Information Systems (291 papers), Information Systems and Management (234 papers) and Artificial Intelligence (201 papers) specifically the topics of Research Data Management Practices (224 papers), Scientific Computing and Data Management (207 papers) and Data Quality and Management (128 papers). The most active scholars publishing in Data Science Journal are Yangyong Zhu, Li Cai, Dirk Pilat, M. A. Parsons, Paul F. Uhlir, Stephanie Russo Carroll, Desi Rodriguez-Lonebear, Norman Paskin, Jianhui Li and Adam Schultz.

In The Last Decade

Fields of papers published in Data Science Journal

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers published in Data Science Journal. 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 Data Science Journal.

Countries where authors publish in Data Science Journal

Since Specialization
Citations

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