A line in the sand: a wireless sensor network for target detection, classification, and tracking

608 indexed citations

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This paper, published in 2004, received 608 indexed citations. Written by Anish Arora, Prabal Dutta, Sandip Bapat, Vinod Kulathumani, Hui Zhang, Vinayak Naik, Vikas Mittal, Hui Cao, Murat Demirbaş and Mohamed G. Gouda covering the research area of Computer Networks and Communications. It is primarily cited by scholars working on Computer Networks and Communications (499 citations), Electrical and Electronic Engineering (289 citations) and Artificial Intelligence (94 citations). Published in Computer Networks.

Countries where authors are citing A line in the sand: a wireless sensor network for target detection, classification, and tracking

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This map shows the geographic impact of A line in the sand: a wireless sensor network for target detection, classification, and tracking. 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 A line in the sand: a wireless sensor network for target detection, classification, and tracking with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites A line in the sand: a wireless sensor network for target detection, classification, and tracking more than expected).

Fields of papers citing A line in the sand: a wireless sensor network for target detection, classification, and tracking

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Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of A line in the sand: a wireless sensor network for target detection, classification, and tracking. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the A line in the sand: a wireless sensor network for target detection, classification, and tracking.

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/10.1016/j.comnet.2004.06.007.

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