Keith Webster

472 citations
12 papers · 356 · 1 hit paper · h-index 6

Impact in

Papers in

Keith Webster

10 papers receiving 343 citations

Keith Webster's Hit Papers

A physics-informed deep learning approach for bearing fault detection 2021 · 216 citations
2160+1+3Years since publication50100150200

Peers

Keith Webster
Comparison fields: 5 of 65
  • Control and Systems Engineering 146
  • Mechanical Engineering 110
  • Biomedical Engineering 111
  • Mechanics of Materials 61
  • Agronomy and Crop Science 24
Replace Zhongxian Li with:
Zhongxian Li China
Zhou Chen China
Xiaoqiang Wen China
Zetian Si China
Ferhan Kayihan United States
Jingjing Zhong China
Thomas Palmé Switzerland
Weichun Ge China
Ahmad S. Saleh Jordan
Markus Gölles Austria
Keith Webster relative to Zhongxian Li China Zhongxian Li's profile →
Citations per field
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Zhongxian Li · 1×
Citations per year

Countries citing papers authored by Keith Webster

Since Specialization
Citations

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

Fields of papers citing papers by Keith Webster

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 14 scholars most cited alongside Keith Webster, 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 Keith Webster Line = papers co-authored together Keith Webster links everyone, so they are left out of the graph.

All Works

12 of 12 papers shown
#Work
1
A physics-informed deep learning approach for bearing fault detection
Hit paper breakdown →
2021216
2 201257
3 201132
4 201421
5 201913
6 20019
7 20154
8 20121
9 20181
10 20111
11 20181
12
Evaluation of environmental stress imposed by a coal-ash effluent: Wisconsin power plant impact study
19850

About Keith Webster

Keith Webster is a scholar working on Mechanics of Materials, Biomedical Engineering, Mechanical Engineering, Geochemistry and Petrology and Agronomy and Crop Science, having authored 12 papers that have together received 356 indexed citations. Recurring topics across this work include Forest Biomass Utilization and Management (6 papers), Biofuel production and bioconversion (6 papers), Thermochemical Biomass Conversion Processes (3 papers), Agricultural Engineering and Mechanization (3 papers), Machine Fault Diagnosis Techniques (1 paper), Microbial Metabolic Engineering and Bioproduction (1 paper), Gear and Bearing Dynamics Analysis (1 paper) and Fish Ecology and Management Studies (1 paper). The work is most often cited by research in Control and Systems Engineering (146 citations), Mechanical Engineering (110 citations), Biomedical Engineering (111 citations), Mechanics of Materials (61 citations) and Agronomy and Crop Science (24 citations). Keith Webster has collaborated with scholars based in United States. Frequent co-authors include Matthew J. Darr, Adam Thelen, Sheng Shen, Mohammadkazem Sadoughi, Shawn Kenny, Hao Lü, Chao Kun Hu, Venkat Pavan Nemani, Ajay Shah and Dustin L. Dalluge. Their work appears in journals such as Energies, Bioresource Technology, Engineering Applications of Artificial Intelligence, AgriEngineering and 2012 Dallas, Texas, July 29 - August 1, 2012.

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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