ArrayTrack: a fine-grained indoor location system
Impact in
Classified as
- Authors
- Jie XiongKyle Jamieson
- Journal
- Institutional Knowledge (InK) - Institutional Knowledge at Singapore Management University (Singapore Management University)
In The Last Decade
doi.org/w7783792 →Countries where authors are citing ArrayTrack: a fine-grained indoor location system
This map shows the geographic impact of ArrayTrack: a fine-grained indoor location system. 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 ArrayTrack: a fine-grained indoor location system with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites ArrayTrack: a fine-grained indoor location system more than expected).
Fields of papers citing ArrayTrack: a fine-grained indoor location system
This network shows the impact of ArrayTrack: a fine-grained indoor location system. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the ArrayTrack: a fine-grained indoor location system.
About ArrayTrack: a fine-grained indoor location system
This paper, published in 2013, received 554 indexed citations . Written by Jie Xiong and Kyle Jamieson covering the research area of Electrical and Electronic Engineering and Ocean Engineering. It is primarily cited by scholars working on Electrical and Electronic Engineering (529 citations), Ocean Engineering (237 citations), Signal Processing (194 citations), Aerospace Engineering (102 citations) and Computer Networks and Communications (87 citations). Published in Institutional Knowledge (InK) - Institutional Knowledge at Singapore Management University (Singapore Management University).
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/w7783792.