Modelling Data-Centric Routing in Wireless Sensor Networks

363 indexed citations
published 2002

Impact in

Classified as

Authors
Bhaskar KrishnamachariDeborah EstrinStephen B. Wicker

In The Last Decade

doi.org/w35681576 →

Countries where authors are citing Modelling Data-Centric Routing in Wireless Sensor Networks

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This map shows the geographic impact of Modelling Data-Centric Routing in Wireless 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 Modelling Data-Centric Routing in Wireless 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 Modelling Data-Centric Routing in Wireless Sensor Networks more than expected).

Fields of papers citing Modelling Data-Centric Routing in Wireless Sensor Networks

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Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of Modelling Data-Centric Routing in Wireless 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 Modelling Data-Centric Routing in Wireless Sensor Networks.

About Modelling Data-Centric Routing in Wireless Sensor Networks

This paper, published in 2002, received 363 indexed citations . Written by Bhaskar Krishnamachari, Deborah Estrin and Stephen B. Wicker covering the research area of Computer Networks and Communications. It is primarily cited by scholars working on Computer Networks and Communications (353 citations), Electrical and Electronic Engineering (114 citations), Biomedical Engineering (20 citations), Computer Vision and Pattern Recognition (18 citations) and Water Science and Technology (15 citations).

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.

This paper is also available at doi.org/w35681576.

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