ACM Transactions on Sensor Networks

1.0k papers and 18.5k indexed citations
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About

The 1.0k papers published in ACM Transactions on Sensor Networks in the last decades have received a total of 18.5k indexed citations. Papers published in ACM Transactions on Sensor Networks usually cover Computer Networks and Communications (638 papers), Electrical and Electronic Engineering (462 papers) and Artificial Intelligence (157 papers) specifically the topics of Energy Efficient Wireless Sensor Networks (393 papers), Indoor and Outdoor Localization Technologies (199 papers) and Energy Harvesting in Wireless Networks (175 papers). The most active scholars publishing in ACM Transactions on Sensor Networks are Mani Srivastava, Sajal K. Das, Falko Dressler, Isabel Dietrich, Mo Li, Marco Zúñiga, Saurabh Ganeriwal, Laura Balzano, Tian He and Gang Zhou.

In The Last Decade

Fields of papers published in ACM Transactions on Sensor Networks

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers published in ACM Transactions on Sensor 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 ACM Transactions on Sensor Networks.

Countries where authors publish in ACM Transactions on Sensor Networks

Since Specialization
Citations

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