James Kuria Kimotho

1.4k citations
22 papers · 1.0k indexed · 1 hit paper · h-index 9

James Kuria Kimotho

21 papers receiving 998 citations

Hit Papers

Condition Monitoring of Bearing Damage in Electromechanic...8402016202620192022250500750

Peers

James Kuria Kimotho
Comparison fields: 5 of 54
  • Control and Systems Engineering 853
  • Mechanical Engineering 443
  • Mechanics of Materials 255
  • Artificial Intelligence 227
  • Industrial and Manufacturing Engineering 68
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Countries citing papers authored by James Kuria Kimotho

Since Specialization
Citations

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

Fields of papers citing papers by James Kuria Kimotho

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by James Kuria Kimotho. 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 James Kuria Kimotho. The network helps show where James Kuria Kimotho may publish in the future.

Co-authorship network

The 10 scholars most cited alongside James Kuria Kimotho, 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 James Kuria Kimotho Line = papers co-authored together James Kuria Kimotho links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20240
2 20241
3 20243
4 202318
5 20221
6 20221
7 20212
8 20207
9 20202
10
Health-Index Based Prognostics for a Turbofan Engine using Ensemble of Machine Learning Algorithms
20191
11 201712
12
Development and Performance Evaluation of Prognostic Approaches for Technical Systems
20172
13
Condition Monitoring of Bearing Damage in Electromechanical Drive Systems by Using Motor Current Signals of Electric Motors: A Benchmark Data Set for Data-Driven Classificationbreakdown →
2016840
14 201421
15 20141
16 201455
17 20138
18 201328
19
Modeling and Simulation of Vibrations of a Tractor Gearbox
20121
20 201111

About James Kuria Kimotho

James Kuria Kimotho is a scholar working on Control and Systems Engineering, Mechanical Engineering and Safety, Risk, Reliability and Quality, having authored 22 papers that have together received 1.0k indexed citations. Recurring topics across this work include Machine Fault Diagnosis Techniques (13 papers), Fault Detection and Control Systems (10 papers), Gear and Bearing Dynamics Analysis (5 papers), Tribology and Lubrication Engineering (2 papers), Lubricants and Their Additives (2 papers), Advanced Surface Polishing Techniques (2 papers), Engineering Diagnostics and Reliability (2 papers) and Advanced machining processes and optimization (2 papers). The work is most often cited by research in Control and Systems Engineering (853 citations), Mechanical Engineering (443 citations) and Mechanics of Materials (255 citations). James Kuria Kimotho has collaborated with scholars based in Germany, Kenya and South Korea. Frequent co-authors include Walter Sextro, Detmar Zimmer, Tobias Meyer, Jackson G. Njiri, Pyung Hwang, Tobias Hemsel, Onesmus Muvengei, Peter Muchiri, Eyke Hüllermeier and James Mutua. Their work appears in journals such as SHILAP Revista de lepidopterología, SAE technical papers on CD-ROM/SAE technical paper series and IEEE Transactions on Reliability.

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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