Gavin Pearson

1.1k total citations
25 papers, 227 citations indexed

About

Gavin Pearson is a scholar working on Artificial Intelligence, Computer Networks and Communications and Aerospace Engineering. According to data from OpenAlex, Gavin Pearson has authored 25 papers receiving a total of 227 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Artificial Intelligence, 6 papers in Computer Networks and Communications and 6 papers in Aerospace Engineering. Recurrent topics in Gavin Pearson's work include Fusion materials and technologies (4 papers), Magnetic confinement fusion research (4 papers) and Semantic Web and Ontologies (4 papers). Gavin Pearson is often cited by papers focused on Fusion materials and technologies (4 papers), Magnetic confinement fusion research (4 papers) and Semantic Web and Ontologies (4 papers). Gavin Pearson collaborates with scholars based in United States, United Kingdom and Italy. Gavin Pearson's co-authors include Tien Pham, Alun Preece, Federico Cerutti, Supriyo Chakraborty, Dave Braines, Richard Tomsett, Lance Kaplan, Mani Srivastava, Dinesh Verma and Thomas La Porta and has published in prestigious journals such as Review of Scientific Instruments, Journal of Nuclear Materials and Journal of Vacuum Science & Technology A Vacuum Surfaces and Films.

In The Last Decade

Gavin Pearson

25 papers receiving 215 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Gavin Pearson United States 7 108 51 43 35 32 25 227
Julia Badger United States 8 74 0.7× 17 0.3× 30 0.7× 62 1.8× 40 1.3× 20 226
Kailas Vodrahalli United States 7 86 0.8× 50 1.0× 58 1.3× 17 0.5× 7 0.2× 13 254
Tanmay Rajpurohit United States 11 114 1.1× 45 0.9× 16 0.4× 22 0.6× 157 4.9× 29 340
Milad Moradi Austria 11 274 2.5× 22 0.4× 44 1.0× 13 0.4× 13 0.4× 17 371
Ahmed El Ouadrhiri Morocco 5 201 1.9× 45 0.9× 45 1.0× 13 0.4× 10 0.3× 16 265
Adam Pearce United States 4 143 1.3× 21 0.4× 25 0.6× 6 0.2× 10 0.3× 8 293
Sergey Butakov Canada 9 122 1.1× 82 1.6× 93 2.2× 70 2.0× 9 0.3× 49 273
Christoph Lüth Germany 8 136 1.3× 24 0.5× 24 0.6× 4 0.1× 10 0.3× 46 237
Ching Nam Hang Singapore 8 100 0.9× 27 0.5× 62 1.4× 10 0.3× 3 0.1× 12 202

Countries citing papers authored by Gavin Pearson

Since Specialization
Citations

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

Fields of papers citing papers by Gavin Pearson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gavin Pearson

This figure shows the co-authorship network connecting the top 25 collaborators of Gavin Pearson. A scholar is included among the top collaborators of Gavin Pearson based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Gavin Pearson. Gavin Pearson is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Li, Yuhua, et al.. (2024). The transformative potential of vector symbolic architecture for cognitive processing at the network edge. ORCA Online Research @Cardiff (Cardiff University). 38–38. 2 indexed citations
2.
Tomsett, Richard, Alun Preece, Dave Braines, et al.. (2020). Rapid Trust Calibration through Interpretable and Uncertainty-Aware AI. Patterns. 1(4). 100049–100049. 84 indexed citations
3.
Seger, Elizabeth, et al.. (2020). Tackling threats to informed decision-making in democratic societies: Promoting epistemic security in a technologically-advanced world. Apollo (University of Cambridge). 9 indexed citations
4.
Verma, Dinesh, et al.. (2019). VoI for complex AI based solutions in coalition environments. 97. 8–8. 1 indexed citations
5.
Verma, Dinesh, et al.. (2017). A generative model for predicting terrorist incidents. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 10190. 101900E–101900E. 3 indexed citations
6.
Pham, Tien, et al.. (2015). Distributed analytics and information science. International Conference on Information Fusion. 245–252. 5 indexed citations
7.
Cerutti, Federico, Alice Toniolo, Dave Braines, et al.. (2015). When is Lying the Right Choice. 1 indexed citations
8.
Pearson, Gavin, et al.. (2013). U.K. MoD Land Open Systems Architecture and coalition interoperability with the U.S.. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 8742. 87420C–87420C. 4 indexed citations
9.
Pearson, Gavin. (2012). Dynamic management of layered ISR systems. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 8389. 838906–838906. 2 indexed citations
10.
Verma, Dinesh, et al.. (2009). An end to end life cycle for ISR in coalition networks. International Conference on Information Fusion. 1378–1384. 1 indexed citations
11.
Pham, Tien, et al.. (2008). Intelligence, Surveillance, and Reconnaissance fusion for coalition operations. International Conference on Information Fusion. 1–8. 28 indexed citations
12.
Preece, Alun, Mario Gómez, Geeth de Mel, et al.. (2008). Matching sensors to missions using a knowledge-based approach. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 6981. 698109–698109. 31 indexed citations
13.
Pearson, Gavin & Tien Pham. (2008). The challenge of sensor information processing and delivery within network and information science research. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 6981. 698105–698105. 5 indexed citations
14.
Pearson, Gavin. (2008). A vision of network-centric ISTAR and the resulting challenges. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 6963. 696302–696302. 8 indexed citations
15.
Preece, Alun, Melody Moore Jackson, Gavin Pearson, & Tien Pham. (2008). Sensor-mission assignment: a scenario-driven walkthrough. ORCA Online Research @Cardiff. 1 indexed citations
16.
Pearson, Gavin, et al.. (2002). Stack and area tritium monitoring systems for the Tokamak Fusion Test Reactor (TFTR). 695–699. 1 indexed citations
17.
Nagy, A., W. Blanchard, R. Camp, et al.. (2002). TFTR tritium accounting system for DT-operation. 1. 573–576. 3 indexed citations
18.
Pearson, Gavin, et al.. (2002). Bridging two biomedical journal databases with XML - a case study. 309–314. 2 indexed citations
19.
Zweben, S. J., Carmelo Gentile, A. Nagy, et al.. (1999). In-vessel tritium measurements using beta decay in the Tokamak Fusion Test Reactor. Review of Scientific Instruments. 70(1). 1119–1122. 3 indexed citations
20.
Ulrickson, M. & Gavin Pearson. (1982). An infrared thermometer for tokamak limiter surface temperature measurements. Journal of Nuclear Materials. 111-112. 91–94. 3 indexed citations

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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