IEEE Transactions on Cloud Computing

1.2k papers and 22.3k indexed citations i.

About

The 1.2k papers published in IEEE Transactions on Cloud Computing in the last decades have received a total of 22.3k indexed citations. Papers published in IEEE Transactions on Cloud Computing usually cover Information Systems (804 papers), Computer Networks and Communications (763 papers) and Artificial Intelligence (344 papers) specifically the topics of Cloud Computing and Resource Management (576 papers), IoT and Edge/Fog Computing (369 papers) and Cryptography and Data Security (201 papers). The most active scholars publishing in IEEE Transactions on Cloud Computing are Rajkumar Buyya, Maria A. Rodriguez, Keqin Li, Sudip Misra, Baochun Li, Xuemin Shen, Subarna Chatterjee, Subhadeep Sarkar, Weifa Liang and Jiannong Cao.

In The Last Decade

Fields of papers published in IEEE Transactions on Cloud Computing

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers published in IEEE Transactions on Cloud Computing. 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 Cloud Computing.

Countries where authors publish in IEEE Transactions on Cloud Computing

Since Specialization
Citations

This map shows the geographic impact of research published in IEEE Transactions on Cloud Computing. 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 Cloud Computing 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 Cloud Computing more than expected).

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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