Matthew Keally

478 total citations
12 papers, 355 citations indexed

About

Matthew Keally is a scholar working on Computer Networks and Communications, Biomedical Engineering and Computer Vision and Pattern Recognition. According to data from OpenAlex, Matthew Keally has authored 12 papers receiving a total of 355 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Computer Networks and Communications, 5 papers in Biomedical Engineering and 4 papers in Computer Vision and Pattern Recognition. Recurrent topics in Matthew Keally's work include Energy Efficient Wireless Sensor Networks (9 papers), Wireless Body Area Networks (5 papers) and Context-Aware Activity Recognition Systems (4 papers). Matthew Keally is often cited by papers focused on Energy Efficient Wireless Sensor Networks (9 papers), Wireless Body Area Networks (5 papers) and Context-Aware Activity Recognition Systems (4 papers). Matthew Keally collaborates with scholars based in United States, Singapore and Canada. Matthew Keally's co-authors include Gang Zhou, Guoliang Xing, Jianxin Wu, Xin Qi, Yantao Li, Xue Liu, Di Xiao, Shaojiang Deng, Weizhen Mao and Haining Wang and has published in prestigious journals such as IEEE Transactions on Parallel and Distributed Systems, Wireless Personal Communications and ACM Transactions on Sensor Networks.

In The Last Decade

Matthew Keally

12 papers receiving 338 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Matthew Keally United States	10	227	154	125	80	38	12	355
Dawud Gordon Germany	9	118 0.5×	95 0.6×	243 1.9×	48 0.6×	60 1.6×	21	325
Joshua Adkins United States	8	225 1.0×	187 1.2×	63 0.5×	31 0.4×	6 0.2×	22	328
Bob Iannucci United States	9	216 1.0×	279 1.8×	39 0.3×	95 1.2×	5 0.1×	29	375
Zhongtang Zhao China	10	64 0.3×	102 0.7×	187 1.5×	49 0.6×	42 1.1×	15	367
Kaisen Lin United States	5	165 0.7×	205 1.3×	84 0.7×	8 0.1×	95 2.5×	6	334
Michel Deriaz Switzerland	11	58 0.3×	97 0.6×	76 0.6×	34 0.4×	10 0.3×	35	241
Ni Zhu United Kingdom	5	119 0.5×	63 0.4×	106 0.8×	51 0.6×	7 0.2×	6	252
Haojun Teng China	8	238 1.0×	154 1.0×	27 0.2×	19 0.2×	14 0.4×	11	333
Jens Krösche Germany	6	43 0.2×	154 1.0×	100 0.8×	32 0.4×	30 0.8×	11	245
Tahera Hossain Japan	10	54 0.2×	50 0.3×	163 1.3×	89 1.1×	31 0.8×	27	264

Countries citing papers authored by Matthew Keally

Since Specialization

Citations

This map shows the geographic impact of Matthew Keally's research. 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 Matthew Keally with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Matthew Keally more than expected).

Fields of papers citing papers by Matthew Keally

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Matthew Keally. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Matthew Keally. The network helps show where Matthew Keally may publish in the future.

Co-authorship network of co-authors of Matthew Keally

This figure shows the co-authorship network connecting the top 25 collaborators of Matthew Keally. A scholar is included among the top collaborators of Matthew Keally based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Matthew Keally. Matthew Keally is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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12 of 12 papers shown

1.

Keally, Matthew, Gang Zhou, Guoliang Xing, David T. Nguyen, & Xin Qi. (2014). A Learning-Based Approach to Confident Event Detection in Heterogeneous Sensor Networks. ACM Transactions on Sensor Networks. 11(1). 1–28. 8 indexed citations

2.

Keally, Matthew, Gang Zhou, Guoliang Xing, & Jianxin Wu. (2013). Remora: Sensing resource sharing among smartphone-based body sensor networks. 1–10. 23 indexed citations

3.

Qi, Xin, et al.. (2013). AdaSense: Adapting sampling rates for activity recognition in Body Sensor Networks. 163–172. 46 indexed citations

4.

Qi, Xin, et al.. (2012). SAPSM. 11–20. 35 indexed citations

5.

Li, Yantao, Xin Qi, Matthew Keally, et al.. (2012). Communication Energy Modeling and Optimization through Joint Packet Size Analysis of BSN and WiFi Networks. IEEE Transactions on Parallel and Distributed Systems. 24(9). 1741–1751. 38 indexed citations

6.

Zhou, Gang, et al.. (2011). BodyT2: Throughput and time delay performance assurance for heterogeneous BSNs. 2750–2758. 16 indexed citations

7.

Zhou, Gang, et al.. (2011). A Self-Adaptive Spectrum Management Middleware for Wireless Sensor Networks. Wireless Personal Communications. 68(1). 131–151. 2 indexed citations

8.

Keally, Matthew, et al.. (2011). PBN. 246–259. 126 indexed citations

9.

Keally, Matthew, Gang Zhou, Guoliang Xing, & Jianxin Wu. (2011). Exploiting sensing diversity for confident sensing in wireless sensor networks. 1719–1727. 11 indexed citations

10.

Keally, Matthew, Gang Zhou, & Guoliang Xing. (2010). Watchdog: Confident Event Detection in Heterogeneous Sensor Networks. 279–288. 22 indexed citations

11.

Keally, Matthew, Gang Zhou, & Guoliang Xing. (2009). Sidewinder: A Predictive Data Forwarding Protocol for Mobile Wireless Sensor Networks. 1–9. 17 indexed citations

12.

Zhou, Gang, et al.. (2009). SAS: Self-Adaptive Spectrum Management for Wireless Sensor Networks. 1–6. 11 indexed 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.

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