William Phillips

2.3k citations
107 papers · 1.6k · h-index 21

Impact in

Papers in

William Phillips

100 papers receiving 1.5k citations

Peers

William Phillips
Comparison fields: 5 of 93
  • Computer Networks and Communications 947
  • Electrical and Electronic Engineering 728
  • Computer Vision and Pattern Recognition 207
  • Safety, Risk, Reliability and Quality 92
  • Ocean Engineering 146
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Yanjun Li China
G. Werner-Allen United States
Lawrence A. Klein United States
Tat-Ming Lok Hong Kong
Adnan Abu‐Dayya Qatar
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Citations per field
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Citations per year

Countries citing papers authored by William Phillips

Since Specialization
Citations

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

Fields of papers citing papers by William Phillips

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by William Phillips. 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 William Phillips. The network helps show where William Phillips may publish in the future.

Co-authors

The 25 scholars most cited alongside William Phillips, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with William Phillips Line = papers co-authored together William Phillips links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 107 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2009109
2
Exploiting subjectivity classification to improve information extraction
2005107
3 2005107
4 200478
5 200276
6 201274
7 201870
8 199963
9 201358
10 200557
11 201754
12 201747
13 201244
14 201743
15 201337
16 201237
17 201435
18 200234
19
An Introduction to the Sundance and AutoSlog Systems
201126
20 200626

About William Phillips

William Phillips is a scholar working on Computer Networks and Communications, Electrical and Electronic Engineering, Artificial Intelligence, Signal Processing and Computer Vision and Pattern Recognition, having authored 107 papers that have together received 1.6k indexed citations. Recurring topics across this work include Energy Efficient Wireless Sensor Networks (25 papers), Mobile Ad Hoc Networks (22 papers), Energy Harvesting in Wireless Networks (16 papers), Advanced Optical Network Technologies (10 papers), Neural Networks and Applications (10 papers), Network Traffic and Congestion Control (9 papers), Spectroscopy and Laser Applications (8 papers) and Underwater Vehicles and Communication Systems (8 papers). The work is most often cited by research in Computer Networks and Communications (947 citations), Electrical and Electronic Engineering (728 citations), Computer Vision and Pattern Recognition (207 citations), Safety, Risk, Reliability and Quality (92 citations) and Ocean Engineering (146 citations). William Phillips has collaborated with scholars based in Canada, United States and United Kingdom. Frequent co-authors include William Robertson, Nauman Aslam, M.M. Artimy, Frank Comeau, Ellen Riloff, S. Sivakumar, Zahoor Ali Khan, Bill Robertson, Abdullah Alomari and Janyce Wiebe. Their work appears in journals such as Sensors, Journal of Quantitative Spectroscopy and Radiative Transfer, The Computer Journal, Geotechnical and Geological Engineering and Personal and Ubiquitous Computing.

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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