L. Haynes

820 citations
31 papers · 568 · h-index 12

Impact in

Papers in

    • Iterative Learning Control Systems 4
    • Engineering and Test Systems 4
    • Robotic Mechanisms and Dynamics 4
    • Adaptive Control of Nonlinear Systems 3
    • Fault Detection and Control Systems 3
    • Machine Fault Diagnosis Techniques 2
    • Real-time simulation and control systems 2
    • Neural Networks and Applications 4

L. Haynes

30 papers receiving 522 citations

Peers

L. Haynes
Comparison fields: 5 of 85
  • Control and Systems Engineering 328
  • Safety, Risk, Reliability and Quality 61
  • Medical Laboratory Technology 8
  • Mechanical Engineering 178
  • Industrial and Manufacturing Engineering 40
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Citations per field
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Citations per year

Countries citing papers authored by L. Haynes

Since Specialization
Citations

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

Fields of papers citing papers by L. Haynes

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside L. Haynes, 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 L. Haynes Line = papers co-authored together L. Haynes links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 31 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2005116
2 201274
3 198569
4 200465
5 200243
6 198442
7 199627
8 200423
9 199815
10 200213
11 200213
12
A Control System for an Automated Manufacturing Research Facility
198411
13 20029
14 20058
15
Control of Flexible Robot Arm
19876
16 20025
17 20024
18 19973
19 19973
20 20023

About L. Haynes

L. Haynes is a scholar working on Control and Systems Engineering, Artificial Intelligence, Mechanical Engineering, Electrical and Electronic Engineering and Hardware and Architecture, having authored 31 papers that have together received 568 indexed citations. Recurring topics across this work include Iterative Learning Control Systems (4 papers), Engineering and Test Systems (4 papers), Neural Networks and Applications (4 papers), Robotic Mechanisms and Dynamics (4 papers), Adaptive Control of Nonlinear Systems (3 papers), Fault Detection and Control Systems (3 papers), Machine Fault Diagnosis Techniques (2 papers) and Real-time simulation and control systems (2 papers). The work is most often cited by research in Control and Systems Engineering (328 citations), Safety, Risk, Reliability and Quality (61 citations), Medical Laboratory Technology (8 citations), Mechanical Engineering (178 citations) and Industrial and Manufacturing Engineering (40 citations). L. Haynes has collaborated with scholars based in United States and Egypt. Frequent co-authors include Chiman Kwan, R. Xu, Zhiyong Geng, K. Lau, R.J. Hocken, David Torgerson, Xiaodong Zhang, Steven Y. Liang, Ben Goldacre and Xiaowei Zhang. Their work appears in journals such as Robotics and Computer-Integrated Manufacturing, Control Engineering Practice, Fuzzy Sets and Systems, Journal of Biomedical Optics and International Journal of Vehicle Autonomous 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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