IEEE Transactions on Emerging Topics in Computing · 1×
×2.6188/71CM
×1.07k/7kAI
×2.61k/517TRANS
×0.74k/5kIS
×1.13k/3kCVPR
Citations per year
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Countries where authors publish in IEEE Transactions on Big Data
Since Specialization
Citations
This map shows the geographic impact of research published in IEEE Transactions on Big Data. 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 IEEE Transactions on Big Data with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites IEEE Transactions on Big Data more than expected).
Fields of papers published in IEEE Transactions on Big Data
This network shows the impact of papers published in IEEE Transactions on Big Data. 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 IEEE Transactions on Big Data.
About IEEE Transactions on Big Data
The 832 papers published in IEEE Transactions on Big Data in the last decades have received a total of 14.8k indexed citations . Papers published in IEEE Transactions on Big Data usually cover Computational Mathematics (12 papers), Artificial Intelligence (432 papers), Transportation (70 papers), Computer Vision and Pattern Recognition (189 papers) and Information Systems (201 papers) specifically the topics of Privacy-Preserving Technologies in Data (115 papers), Advanced Graph Neural Networks (97 papers), Complex Network Analysis Techniques (81 papers), Human Mobility and Location-Based Analysis (62 papers), Cryptography and Data Security (58 papers), Data Management and Algorithms (52 papers), Recommender Systems and Techniques (50 papers) and Cloud Computing and Resource Management (49 papers). The most active scholars publishing in IEEE Transactions on Big Data are Yu Zheng, Xingquan Zhu, Daokun Zhang, Chengqi Zhang, Jie Yin, Joseph Ferreira, Marta C. González, Shan Jiang, Laurence T. Yang and Feng Xia.
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.