Joshua A. Tarbutton

32 papers receiving 523 citations

Peers

Joshua A. Tarbutton
Comparison fields: 5 of 61
  • Biomedical Engineering 308
  • Mechanical Engineering 203
  • Automotive Engineering 100
  • Industrial and Manufacturing Engineering 85
  • Control and Systems Engineering 81
Replace I. G. Goryacheva with:
I. G. Goryacheva Russia
Peiting Sun China
Kuanmin Mao China
Tingsheng Zhang China
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Hamzeh Bardaweel United States
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Joshua A. Tarbutton relative to I. G. Goryacheva Russia I. G. Goryacheva's profile →
Citations per field
00.5×2.7×
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Citations per year

Countries citing papers authored by Joshua A. Tarbutton

Since Specialization
Citations

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

Fields of papers citing papers by Joshua A. Tarbutton

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Joshua A. Tarbutton. 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 Joshua A. Tarbutton. The network helps show where Joshua A. Tarbutton may publish in the future.

Co-authorship network of co-authors of Joshua A. Tarbutton

This figure shows the co-authorship network connecting the top 25 collaborators of Joshua A. Tarbutton. A scholar is included among the top collaborators of Joshua A. Tarbutton 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 Joshua A. Tarbutton. Joshua A. Tarbutton is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 9
2 13
3 20
4 32
5 7
6 9
7
Improvement of a periodic error compensation algorithm based on the continuous wavelet transform
1
8 4
9 21
10 0
11 25
12 10
13 109
14
Condition-Based Maintenance at the University of South Carolina: A Smart Predictive System
0
15
Nonlinear vibration-interaction metric for health assessment of helicopter drivetrain systems
1
16
Application of wavelet analysis in heterodyne interferometry
1
17 20
18 37
19
Fiber-coupled 3-DOF interferometer for euv lithography stage metrology
1
20
Automated Digital Machining for Parallel Processors
1

About Joshua A. Tarbutton

Joshua A. Tarbutton is a scholar working on Industrial and Manufacturing Engineering, Medical Laboratory Technology and Computer Vision and Pattern Recognition, having authored 35 papers that have together received 534 indexed citations. Recurring topics across this work include Advanced Measurement and Metrology Techniques (9 papers), Manufacturing Process and Optimization (8 papers) and Advanced Surface Polishing Techniques (7 papers). The work is most often cited by research in Industrial and Manufacturing Engineering (85 citations), Automotive Engineering (100 citations) and Biomedical Engineering (308 citations). Joshua A. Tarbutton has collaborated with scholars based in United States, South Korea and Egypt. Frequent co-authors include ChaBum Lee, Sun‐Kyu Lee, Thomas R. Kurfess, Jonathan Ellis, Mohammad Motaher Hossain, Fei Shen, Max Kirkpatrick, Abolfazl Zolfaghari, Yong–June Shin and Tony L. Schmitz. Their work appears in journals such as Review of Scientific Instruments, Hydrology and earth system sciences and IEEE Transactions on Aerospace and Electronic Systems.

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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