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.
About International Journal of Data Science and Analytics
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), Signal Processing (96 papers), Computational Mathematics (4 papers), Information Systems (149 papers) and Management Science and Operations Research (70 papers) specifically the topics of Anomaly Detection Techniques and Applications (60 papers), Complex Network Analysis Techniques (51 papers), Time Series Analysis and Forecasting (49 papers), Topic Modeling (47 papers), Recommender Systems and Techniques (37 papers), Sentiment Analysis and Opinion Mining (35 papers), Data Mining Algorithms and Applications (35 papers) and Machine Learning and Data Classification (35 papers). The most active scholars publishing in International Journal of Data Science and Analytics are Houtao Deng, Shaina Raza, Chen Ding, Saji K. Mathew, Joseph Ramsey, Frederick Eberhardt, Joshua Zhexue Huang, Salman Salloum, Ruslan Dautov and Longbing Cao.
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.