Matthew Garratt

4.1k citations
202 papers · 2.8k indexed · h-index 27

Impact in

Papers in

Matthew Garratt

188 papers receiving 2.7k citations

Peers

Matthew Garratt
Comparison fields: 5 of 128
  • Computer Vision and Pattern Recognition 1.1k
  • Control and Systems Engineering 1.2k
  • Aerospace Engineering 1.1k
  • Computer Networks and Communications 481
  • Artificial Intelligence 490
Replace Lincheng Shen with:
Lincheng Shen China
Sreenatha G. Anavatti Australia
Holger Voos Luxembourg
Nathan Koenig United States
Oskar von Stryk Germany
Danwei Wang Singapore
Stefano Carpin United States
Stjepan Bogdan Croatia
Luca Iocchi Italy
A. Howard United States
Matthew Garratt relative to Lincheng Shen China Lincheng Shen's profile →
Citations per field
00.5×1.5×
Lincheng Shen · 1×
Citations per year

Countries citing papers authored by Matthew Garratt

Since Specialization
Citations

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

Fields of papers citing papers by Matthew Garratt

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 20246
2 20242
3 20230
4 202314
5 202314
6 202311
7 20222
8 202256
9 202115
10 202114
11 202163
12 202019
13 20197
14 201924
15 201944
16 2019124
17 201937
18 20194
19 201938
20 20171

About Matthew Garratt

Matthew Garratt is a scholar working on Computer Vision and Pattern Recognition, Aerospace Engineering, Control and Systems Engineering, Instrumentation and Artificial Intelligence, having authored 202 papers that have together received 2.8k indexed citations. Recurring topics across this work include Adaptive Control of Nonlinear Systems (61 papers), Robotic Path Planning Algorithms (54 papers), Robotics and Sensor-Based Localization (40 papers), Distributed Control Multi-Agent Systems (28 papers), Advanced Vision and Imaging (25 papers), Fuzzy Logic and Control Systems (21 papers), Control Systems and Identification (16 papers) and Guidance and Control Systems (15 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (1.1k citations), Control and Systems Engineering (1.2k citations), Aerospace Engineering (1.1k citations), Computer Networks and Communications (481 citations) and Artificial Intelligence (490 citations). Matthew Garratt has collaborated with scholars based in Australia, Singapore and United Arab Emirates. Frequent co-authors include Sreenatha G. Anavatti, Fendy Santoso, H. R. Pota, Vu Phi Tran, Hussein A. Abbass, Ian R. Petersen, Andrew Lambert, Bilal Ahmed, Kathryn Kasmarik and Javaan Chahl. Their work appears in journals such as Swarm and Evolutionary Computation, IEEE Transactions on Intelligent Transportation Systems, IEEE Transactions on Systems Man and Cybernetics Systems, IEEE Transactions on Industrial Electronics and IEEE/ASME Transactions on Mechatronics.

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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