IEEE Transactions on Emerging Topics in Computing

927 papers and 17.3k indexed citations
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About

The 927 papers published in IEEE Transactions on Emerging Topics in Computing in the last decades have received a total of 17.3k indexed citations. Papers published in IEEE Transactions on Emerging Topics in Computing usually cover Electrical and Electronic Engineering (351 papers), Artificial Intelligence (301 papers) and Computer Networks and Communications (282 papers) specifically the topics of Advanced Memory and Neural Computing (117 papers), Physical Unclonable Functions (PUFs) and Hardware Security (69 papers) and IoT and Edge/Fog Computing (64 papers). The most active scholars publishing in IEEE Transactions on Emerging Topics in Computing are Nei Kato, Niraj K. Jha, Song Guo, Arsalan Mosenia, Albert Y. Zomaya, Jiajia Liu, Chi Harold Liu, Zubair Md. Fadlullah, Charith Perera and Srimal Jayawardena.

In The Last Decade

IEEE Transactions on Emerging Topics in Computing

845 papers receiving 16.5k citations

Fields of papers published in IEEE Transactions on Emerging Topics in Computing

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries where authors publish in IEEE Transactions on Emerging Topics in Computing

Since Specialization
Citations

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

Identifying At-Risk Students for Early Interventions—A Time-Series Clustering Approach 2015 2026 2018 2022 63
  1. Identifying At-Risk Students for Early Interventions—A Time-Series Clustering Approach (2015)

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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