Matt Quinn

1.2k citations
19 papers · 528 · h-index 11

Impact in

Papers in

Matt Quinn

18 papers receiving 472 citations

Peers

Matt Quinn
Comparison fields: 5 of 67
  • Applied Mathematics 116
  • Modeling and Simulation 37
  • Cognitive Neuroscience 124
  • Control and Systems Engineering 150
  • Numerical Analysis 33
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Citations per field
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Citations per year

Countries citing papers authored by Matt Quinn

Since Specialization
Citations

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

Fields of papers citing papers by Matt Quinn

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 15 scholars most cited alongside Matt Quinn, 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 Matt Quinn Line = papers co-authored together Matt Quinn links everyone, so they are left out of the graph.

All Works

19 of 19 papers shown
#Work
1 2005146
2 1985115
3 200383
4 200231
5 200229
6
Evolving teamwork and role-allocation with real robots
200224
7 198516
8 200315
9 200213
10 201813
11 198212
12 198810
13 20028
14 20024
15
Evolving Formation Movement for a Homogeneous Multi-Robot System: Teamwork and Role-Allocation with Real Robots
20023
16
Evolving Team Behaviour for Real Robots
20023
17
Joint state and parameter estimation
19831
18 19831
19
Phytophthora species can be reliably detected by dogs both from infested substrates and infected plants
20201

About Matt Quinn

Matt Quinn is a scholar working on Artificial Intelligence, Control and Systems Engineering, Mechanical Engineering, Computer Networks and Communications and Electrical and Electronic Engineering, having authored 19 papers that have together received 528 indexed citations. Recurring topics across this work include Reinforcement Learning in Robotics (7 papers), Modular Robots and Swarm Intelligence (4 papers), Evolutionary Algorithms and Applications (3 papers), Stability and Control of Uncertain Systems (2 papers), Control Systems and Identification (2 papers), Advanced Memory and Neural Computing (2 papers), Plant Pathogens and Resistance (2 papers) and Neural Networks and Applications (2 papers). The work is most often cited by research in Applied Mathematics (116 citations), Modeling and Simulation (37 citations), Cognitive Neuroscience (124 citations), Control and Systems Engineering (150 citations) and Numerical Analysis (33 citations). Matt Quinn has collaborated with scholars based in United Kingdom, Netherlands and Belgium. Frequent co-authors include Elio Tuci, Inman Harvey, Rachel Wood, Ezequiel A. Di Paolo, Phil Husbands, A. J. Pritchard, Kjartan G. Magnússon, Matteo Garbelotto, Tedmund J. Swiecki and Elizabeth Bernhardt. Their work appears in journals such as Adaptive Behavior, IMA Journal of Mathematical Control and Information, Applied Mathematics & Optimization, Numerical Functional Analysis and Optimization and Artificial Life.

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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