International Journal of Data Science and Analytics

7.6k citations
851 papers · · active since 2016

Impact in

Papers in

    • Anomaly Detection Techniques and Applications 65
    • Topic Modeling 51
    • Sentiment Analysis and Opinion Mining 40
    • Machine Learning and Data Classification 36
    • Advanced Graph Neural Networks 36
    • Time Series Analysis and Forecasting 54

International Journal of Data Science and Analytics

633 papers receiving 7.3k citations

Peers

International Journal of Data Science and Analytics
Comparison fields: 5 of 198
  • Artificial Intelligence 2.8k
  • Health Informatics 96
  • Transportation 420
  • Information Systems 1.3k
  • Signal Processing 558
Replace Frontiers of Information Technology & Electronic Engineering with:
Frontiers of Information Technology & Electronic Engineering China
Machine Intelligence Research China
Egyptian Informatics Journal India
Frontiers of Computer Science China
Social Network Analysis and Mining United States
Informatics United States
AI Communications Spain
International Journal of Interactive Multimedia and Artificial Intelligence Spain
International Journal of Computers Communications & Control China
CAAI Transactions on Intelligence Technology China
International Journal of Data Science and Analytics relative to Frontiers of Information Technology & Electronic Engineering China Frontiers of Information Technology & Electronic Engineering's profile →
Citations per field
00.5×1.5×
Frontiers of Information Technology & Electronic Engineering · 1×
Citations per year

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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 851 papers published in International Journal of Data Science and Analytics in the last decades have received a total of 7.6k indexed citations . Papers published in International Journal of Data Science and Analytics usually cover Artificial Intelligence (416 papers), Signal Processing (102 papers), Information Systems (155 papers), Computational Mathematics (4 papers) and Management Science and Operations Research (77 papers) specifically the topics of Anomaly Detection Techniques and Applications (65 papers), Complex Network Analysis Techniques (58 papers), Time Series Analysis and Forecasting (54 papers), Topic Modeling (51 papers), Sentiment Analysis and Opinion Mining (40 papers), Recommender Systems and Techniques (40 papers), Machine Learning and Data Classification (36 papers) and Advanced Graph Neural Networks (36 papers). The most active scholars publishing in International Journal of Data Science and Analytics are Houtao Deng, Longbing Cao, Shaina Raza, Chen Ding, Saji K. Mathew, Muhammed Sadiq T, Joseph Ramsey, Salman Salloum, Ruslan Dautov and Joshua Zhexue Huang.

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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