The 701 papers published in International Journal of Data Science and Analytics in the last decades have received a total of 5.8k indexed citations.
Papers published in International Journal of Data Science and Analytics usually cover Artificial Intelligence (370 papers), Information Systems (149 papers) and Signal Processing (96 papers) specifically the topics of Anomaly Detection Techniques and Applications (60 papers), Complex Network Analysis Techniques (51 papers) and Time Series Analysis and Forecasting (49 papers). The most active scholars publishing in International Journal of Data Science and Analytics are Houtao Deng, Chen Ding, Shaina Raza, Saji K. Mathew, Joseph Ramsey, Frederick Eberhardt, Longbing Cao, Salman Salloum, Ruslan Dautov and Joshua Zhexue Huang.
In The Last Decade
International Journal of Data Science and Analytics
550 papers
receiving
5.5k citations
Peers
International Journal of Data Science and Analytics
Comparison fields: 5 of 204
Artificial Intelligence2.3k
Information Systems1.1k
Sociology and Political Science663
Computer Networks and Communications511
Management Science and Operations Research462
Replace Data with:
DataUnited States
InformaticsUnited States
International Journal of Interactive Multimedia and Artificial IntelligenceSpain
IEEE Technology and Society MagazineUnited States
Big Data and Cognitive ComputingUnited States
Annals of Data ScienceIndia
PatternsUnited States
Frontiers in Big DataUnited States
International Journal of Computers Communications & ControlChina
Citations per field, relative to International Journal of Data Science and Analytics
International Journal of Data Science and Analytics · 1×
×0.81.8kAI
×0.8858IS
×0.7472SPS
×1.3640CNC
×1.2562MSOR
Citations per year, relative to International Journal of Data Science and Analytics
International Journal of Data Science and Analytics · 1×
2016
2017
2018
2019
2020
2021
2022
2023
2024
2025
2026
Countries where authors publish in International Journal of Data Science and Analytics
Since
Specialization
Citations
This map shows the geographic impact of research published in International Journal of Data Science and Analytics. 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 International Journal of Data Science and Analytics with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites International Journal of Data Science and Analytics more than expected).
Fields of papers published in International Journal of Data Science and Analytics
This network shows the impact of papers published in International Journal of Data Science and Analytics. 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 International Journal of Data Science and Analytics.
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.