Journal of Sensor and Actuator Networks

651 papers and 7.7k indexed citations
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About

The 651 papers published in Journal of Sensor and Actuator Networks in the last decades have received a total of 7.7k indexed citations. Papers published in Journal of Sensor and Actuator Networks usually cover Computer Networks and Communications (334 papers), Electrical and Electronic Engineering (265 papers) and Artificial Intelligence (92 papers) specifically the topics of IoT and Edge/Fog Computing (103 papers), Energy Efficient Wireless Sensor Networks (102 papers) and Energy Harvesting in Wireless Networks (50 papers). The most active scholars publishing in Journal of Sensor and Actuator Networks are Melanie Swan, Takuro Sato, Giovanni Pau, Fabio Arena, Alessandro Severino, Adnan M. Abu‐Mahfouz, Slaviša Aleksić, Kay Römer, Qasem Abu Al‐Haija and Carlo Alberto Boano.

In The Last Decade

Journal of Sensor and Actuator Networks

557 papers receiving 7.2k citations

Fields of papers published in Journal of Sensor and Actuator Networks

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers published in Journal of Sensor and Actuator Networks. 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 Journal of Sensor and Actuator Networks.

Countries where authors publish in Journal of Sensor and Actuator Networks

Since Specialization
Citations

This map shows the geographic impact of research published in Journal of Sensor and Actuator Networks. 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 Journal of Sensor and Actuator Networks with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Journal of Sensor and Actuator Networks 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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