Nathan Larkin

29 papers receiving 1.1k citations

Peers

Nathan Larkin
Comparison fields: 5 of 54
  • Automotive Engineering 576
  • Industrial and Manufacturing Engineering 366
  • Mechanical Engineering 735
  • Control and Systems Engineering 258
  • Computer Vision and Pattern Recognition 164
Replace Joseph Polden with:
Joseph Polden Australia
Stephen van Duin Australia
Prahar M. Bhatt United States
Shanben Chen China
Oğuzhan Yılmaz Türkiye
Rishi K. Malhan United States
Yanling Xu China
Shanben Chen China
Chengkai Dai Hong Kong
Chunyang Xia China
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Citations per field
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Citations per year

Countries citing papers authored by Nathan Larkin

Since Specialization
Citations

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

Fields of papers citing papers by Nathan Larkin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 19 scholars most cited alongside Nathan Larkin, 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 Nathan Larkin Line = papers co-authored together Nathan Larkin links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 29 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2011224
2 2015212
3 2016176
4 2015149
5 2016133
6 201633
7 201119
8 201118
9 201614
10 201714
11 201213
12
Multi-Direction Slicing of STL Models for Robotic Wire-Feed Additive Manufacturing
201512
13 201411
14 201611
15
Offline programming for short batch robotic welding
20118
16 20116
17 20136
18 20136
19 20186
20
Investigation into feasibility of hybrid laser-GMAW process for welding high strength quenched and tempered steel
20126

About Nathan Larkin

Nathan Larkin is a scholar working on Mechanical Engineering, Control and Systems Engineering, Computer Vision and Pattern Recognition, Industrial and Manufacturing Engineering and Aerospace Engineering, having authored 29 papers that have together received 1.1k indexed citations. Recurring topics across this work include Robotic Path Planning Algorithms (11 papers), Robot Manipulation and Learning (10 papers), Welding Techniques and Residual Stresses (8 papers), Manufacturing Process and Optimization (8 papers), Additive Manufacturing Materials and Processes (6 papers), Additive Manufacturing and 3D Printing Technologies (5 papers), Advanced Manufacturing and Logistics Optimization (4 papers) and Robotics and Sensor-Based Localization (4 papers). The work is most often cited by research in Automotive Engineering (576 citations), Industrial and Manufacturing Engineering (366 citations), Mechanical Engineering (735 citations), Control and Systems Engineering (258 citations) and Computer Vision and Pattern Recognition (164 citations). Nathan Larkin has collaborated with scholars based in Australia, Singapore and Japan. Frequent co-authors include Zengxi Pan, Stephen van Duin, Huijun Li, Dominic Cuiuri, Donghong Ding, John Norrish, Joseph Polden, Chen Shen, Mark D. Callaghan and R.A. Scott. Their work appears in journals such as Robotics and Computer-Integrated Manufacturing, Journal of Intelligent & Robotic Systems, Metallurgical and Materials Transactions B, Journal of Cleaner Production and Computer-Aided Design.

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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