Data Science and Engineering

4.0k citations
279 papers · · active since 1950

Impact in

Papers in

Data Science and Engineering

244 papers receiving 3.9k citations

Peers

Data Science and Engineering
Comparison fields: 5 of 165
  • Artificial Intelligence 2.0k
  • Signal Processing 537
  • Transportation 299
  • Information Systems 930
  • Computer Vision and Pattern Recognition 789
Replace Big Data Mining and Analytics with:
Big Data Mining and Analytics China
International Journal of Information Management Data Insights India
Big Data Research China
ACM Transactions on Management Information Systems United States
Synthesis lectures on artificial intelligence and machine learning United States
International Journal of Data Warehousing and Mining China
Progress in Artificial Intelligence Spain
International Journal of Web Information Systems Japan
Applied Computing and Informatics India
Journal of Artificial Intelligence and Soft Computing Research Poland
Data Science and Engineering relative to Big Data Mining and Analytics China Big Data Mining and Analytics's profile →
Citations per field
00.5×1.5×2.2×
Big Data Mining and Analytics · 1×
Citations per year

Countries where authors publish in Data Science and Engineering

Since Specialization
Citations

This map shows the geographic impact of research published in Data Science and Engineering. 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 and Engineering 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 and Engineering more than expected).

Fields of papers published in Data Science and Engineering

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

About Data Science and Engineering

The 279 papers published in Data Science and Engineering in the last decades have received a total of 4.0k indexed citations . Papers published in Data Science and Engineering usually cover Signal Processing (55 papers), Artificial Intelligence (145 papers), Information Systems (79 papers), Computer Networks and Communications (74 papers) and Statistical and Nonlinear Physics (34 papers) specifically the topics of Data Management and Algorithms (46 papers), Advanced Graph Neural Networks (42 papers), Complex Network Analysis Techniques (34 papers), Topic Modeling (32 papers), Recommender Systems and Techniques (32 papers), Advanced Database Systems and Queries (27 papers), Caching and Content Delivery (27 papers) and Graph Theory and Algorithms (25 papers). The most active scholars publishing in Data Science and Engineering are Guoliang Li, Haitao Yuan, Yanchun Zhang, Siuly Siuly, Kaiyu Li, Josep Domingo‐Ferrer, Kamran Behdinan, Ibrahim Khalil, Xun Yi and Prem Prakash Jayaraman.

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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