Michael O’Boyle

461 total citations
9 papers, 149 citations indexed

About

Michael O’Boyle is a scholar working on Computer Vision and Pattern Recognition, Hardware and Architecture and Artificial Intelligence. According to data from OpenAlex, Michael O’Boyle has authored 9 papers receiving a total of 149 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Computer Vision and Pattern Recognition, 3 papers in Hardware and Architecture and 2 papers in Artificial Intelligence. Recurrent topics in Michael O’Boyle's work include Parallel Computing and Optimization Techniques (3 papers), Advanced Image and Video Retrieval Techniques (2 papers) and Robotics and Sensor-Based Localization (2 papers). Michael O’Boyle is often cited by papers focused on Parallel Computing and Optimization Techniques (3 papers), Advanced Image and Video Retrieval Techniques (2 papers) and Robotics and Sensor-Based Localization (2 papers). Michael O’Boyle collaborates with scholars based in United Kingdom, United States and Ireland. Michael O’Boyle's co-authors include David W. Self, Marco Amadeo, Bruno Bodin, Björn Franke, Paul H. J. Kelly, Mikel Luján, Luigi Nardi, Andrew J. Davison, Steve Furber and José Cano and has published in prestigious journals such as Psychology and Aging, Research Explorer (The University of Manchester) and Edinburgh Research Explorer (University of Edinburgh).

In The Last Decade

Michael O’Boyle

9 papers receiving 144 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Michael O’Boyle United Kingdom	6	75	61	27	23	23	9	149
Yu Liang China	8	99 1.3×	10 0.2×	3 0.1×	21 0.9×	32 1.4×	42	227
Henryk Josiński Poland	8	93 1.2×	7 0.1×	8 0.3×	49 2.1×	11 0.5×	32	219
Sachithra Hemachandra United States	8	127 1.7×	54 0.9×	2 0.1×	85 3.7×	9 0.4×	11	193
Benjamin Smith France	10	20 0.3×	18 0.3×	4 0.1×	82 3.6×	3 0.1×	19	197
G. Baltus Netherlands	3	73 1.0×	25 0.4×	2 0.1×	71 3.1×	10 0.4×	4	209
Silke Lang Switzerland	6	288 3.8×	34 0.6×	25 0.9×	5 0.2×		11	382
Ankita Pramanik India	7	37 0.5×	8 0.1×	6 0.2×	6 0.3×	57 2.5×	33	142
Damien Brulin France	7	110 1.5×	17 0.3×	3 0.1×	23 1.0×	73 3.2×	17	246
Daniela Hall France	7	109 1.5×	20 0.3×		20 0.9×	9 0.4×	10	132
Gabriel B. Costa United States	8	28 0.4×	8 0.1×	7 0.3×	18 0.8×	11 0.5×	20	152

Countries citing papers authored by Michael O’Boyle

Since Specialization

Citations

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

Fields of papers citing papers by Michael O’Boyle

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Michael O’Boyle. 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 Michael O’Boyle. The network helps show where Michael O’Boyle may publish in the future.

Co-authorship network of co-authors of Michael O’Boyle

This figure shows the co-authorship network connecting the top 25 collaborators of Michael O’Boyle. A scholar is included among the top collaborators of Michael O’Boyle 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 Michael O’Boyle. Michael O’Boyle is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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9 of 9 papers shown

Radu, Valentin, Jack Turner, José Cano, et al.. (2019). Performance Aware Convolutional Neural Network Channel Pruning for Embedded GPUs. ENLIGHTEN (Jurnal Bimbingan dan Konseling Islam). 24–34. 25 indexed citations

Bodin, Bruno, et al.. (2018). Algorithmic Performance-Accuracy Trade-off in 3D Vision Applications. Edinburgh Research Explorer (University of Edinburgh). 123–124. 1 indexed citations

Cano, José, Yiming Yang, Bruno Bodin, Vijay Nagarajan, & Michael O’Boyle. (2018). Automatic Parameter Tuning of Motion Planning Algorithms. ENLIGHTEN (Jurnal Bimbingan dan Konseling Islam). 8103–8109. 7 indexed citations

Bodin, Bruno, Luigi Nardi, Mikel Luján, et al.. (2018). SLAMBench2: Multi-Objective Head-to-Head Benchmarking for Visual SLAM. Research Explorer (The University of Manchester). 3637–3644. 45 indexed citations

Bodin, Bruno, Luigi Nardi, M. Zeeshan Zia, et al.. (2016). Integrating Algorithmic Parameters into Benchmarking and Design Space Exploration in 3D Scene Understanding. Research Explorer (The University of Manchester). 57–69. 30 indexed citations

Harris, David, et al.. (2014). Harris, O'Boyle & Warbrick. Oxford University Press eBooks. 3 indexed citations

Franke, Björn & Michael O’Boyle. (2001). An empirical evaluation of high level transformations for embedded processors. 59–59. 4 indexed citations

O’Boyle, Michael, Marco Amadeo, & David W. Self. (1990). Cognitive complaints in elderly depressed and pseudodemented patients.. Psychology and Aging. 5(3). 467–468. 18 indexed citations

O’Boyle, Michael, Marco Amadeo, & David W. Self. (1990). Cognitive complaints in elderly depressed and pseudodemented patients.. Psychology and Aging. 5(3). 467–468. 16 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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