Lachlan Nicholson

439 citations
5 papers · 266 · h-index 4

Impact in

  • Geology top 10%
    • 3D Surveying and Cultural Heritage
    • Advanced Image and Video Retrieval Techniques
    • Robotic Path Planning Algorithms
    • Advanced Vision and Imaging
    • Advanced Neural Network Applications

Papers in

Lachlan Nicholson

5 papers receiving 257 citations

Peers

Lachlan Nicholson
Comparison fields: 5 of 35
  • Geology 55
  • Computer Vision and Pattern Recognition 191
  • Aerospace Engineering 197
  • Control and Systems Engineering 70
  • Human-Computer Interaction 9
Replace René Wagner with:
René Wagner Germany
Andreas Richtsfeld Austria
Rémi Pautrat Switzerland
Thomas Mörwald Austria
Binbin Xu United Kingdom
Nikhil Keetha United States
Guangyao Zhai China
Dimos Tzoumanikas United Kingdom
Mariano Jaimez Spain
Juil Sock United Kingdom
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Citations per field
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Citations per year

Countries citing papers authored by Lachlan Nicholson

Since Specialization
Citations

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

Fields of papers citing papers by Lachlan Nicholson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 16 scholars most cited alongside Lachlan Nicholson, 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 Lachlan Nicholson Line = papers co-authored together Lachlan Nicholson links everyone, so they are left out of the graph.

All Works

5 of 5 papers shown

About Lachlan Nicholson

Lachlan Nicholson is a scholar working on Computer Vision and Pattern Recognition, Aerospace Engineering, Control and Systems Engineering, Artificial Intelligence and Management Science and Operations Research, having authored 5 papers that have together received 266 indexed citations. Recurring topics across this work include Advanced Image and Video Retrieval Techniques (3 papers), Robotics and Sensor-Based Localization (3 papers), Advanced Neural Network Applications (3 papers), Advanced Text Analysis Techniques (1 paper), Modular Robots and Swarm Intelligence (1 paper), Forecasting Techniques and Applications (1 paper), Stock Market Forecasting Methods (1 paper) and Robot Manipulation and Learning (1 paper). The work is most often cited by research in Geology (55 citations), Computer Vision and Pattern Recognition (191 citations), Aerospace Engineering (197 citations), Control and Systems Engineering (70 citations) and Human-Computer Interaction (9 citations). Lachlan Nicholson has collaborated with scholars based in Australia and United States. Frequent co-authors include Niko Sünderhauf, Michael Milford, Peter Corke, Fangyi Zhang, Liao Wu, Jürgen Leitner, Ben Upcroft, Markus Eich, Chris Lehnert and Joseph W. Durham. Their work appears in journals such as IEEE Robotics and Automation Letters.

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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