Lachlan Nicholson

458 citations
6 papers · 316 · 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

6 papers receiving 308 citations

Peers

Lachlan Nicholson
Comparison fields: 5 of 38
  • Geology 60
  • Computer Vision and Pattern Recognition 222
  • Aerospace Engineering 227
  • Control and Systems Engineering 77
  • Human-Computer Interaction 11
Replace Rémi Pautrat with:
Rémi Pautrat Switzerland
René Wagner Germany
Thomas Mörwald Austria
Adrián Peñate-Sánchez Spain
Mariano Jaimez Spain
Tristan Laidlow United Kingdom
Juil Sock United Kingdom
Jan Heller Czechia
Lucas Nogueira United States
Martin Rünz United Kingdom
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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 18 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

6 of 6 papers shown

About Lachlan Nicholson

Lachlan Nicholson is a scholar working on Computer Vision and Pattern Recognition, Aerospace Engineering, Computer Science Applications, Artificial Intelligence and Management Science and Operations Research, having authored 6 papers that have together received 316 indexed citations. Recurring topics across this work include Advanced Neural Network Applications (4 papers), Advanced Image and Video Retrieval Techniques (3 papers), Robotics and Sensor-Based Localization (3 papers), Stock Market Forecasting Methods (1 paper), Adversarial Robustness in Machine Learning (1 paper), Mobile Crowdsensing and Crowdsourcing (1 paper), Forecasting Techniques and Applications (1 paper) and Modular Robots and Swarm Intelligence (1 paper). The work is most often cited by research in Geology (60 citations), Computer Vision and Pattern Recognition (222 citations), Aerospace Engineering (227 citations), Control and Systems Engineering (77 citations) and Human-Computer Interaction (11 citations). Lachlan Nicholson has collaborated with scholars based in Australia and United States. Frequent co-authors include Niko Sünderhauf, Michael John Milford, Chris Lehnert, Liao Wu, Markus Eich, Ben Upcroft, Trung Thanh Pham, Peter Corke, Jürgen Leitner and Chris McCool. Their work appears in journals such as IEEE Robotics and Automation Letters, QUT ePrints (Queensland University of Technology) and arXiv (Cornell University).

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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