IEEE Transactions on Network Science and Engineering

2.1k papers and 29.0k indexed citations
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About

The 2.1k papers published in IEEE Transactions on Network Science and Engineering in the last decades have received a total of 29.0k indexed citations. Papers published in IEEE Transactions on Network Science and Engineering usually cover Computer Networks and Communications (1.1k papers), Artificial Intelligence (574 papers) and Electrical and Electronic Engineering (467 papers) specifically the topics of Complex Network Analysis Techniques (330 papers), Distributed Control Multi-Agent Systems (280 papers) and IoT and Edge/Fog Computing (226 papers). The most active scholars publishing in IEEE Transactions on Network Science and Engineering are Tingwen Huang, Zhipeng Cai, Xu Zheng, Naixue Xiong, Jinde Cao, Gautam Srivastava, Houbing Song, Ju H. Park, Thippa Reddy Gadekallu and Mohsen Guizani.

In The Last Decade

IEEE Transactions on Network Science and Engineering

1.8k papers receiving 27.6k citations

Fields of papers published in IEEE Transactions on Network Science and Engineering

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers published in IEEE Transactions on Network 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 IEEE Transactions on Network Science and Engineering.

Countries where authors publish in IEEE Transactions on Network Science and Engineering

Since Specialization
Citations

This map shows the geographic impact of research published in IEEE Transactions on Network 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 IEEE Transactions on Network 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 IEEE Transactions on Network Science and Engineering more than expected).

Deep Learning-Powered Vessel Trajectory Prediction for Improving Smart Traffic Services in Maritime Internet of Things 2022 2026 2023 2024139
  1. Deep Learning-Powered Vessel Trajectory Prediction for Improving Smart Traffic Services in Maritime Internet of Things (2022)

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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