David McMillan

3.6k total citations · 1 hit paper
96 papers, 2.6k citations indexed

About

David McMillan is a scholar working on Aerospace Engineering, Safety, Risk, Reliability and Quality and Control and Systems Engineering. According to data from OpenAlex, David McMillan has authored 96 papers receiving a total of 2.6k indexed citations (citations by other indexed papers that have themselves been cited), including 39 papers in Aerospace Engineering, 34 papers in Safety, Risk, Reliability and Quality and 26 papers in Control and Systems Engineering. Recurrent topics in David McMillan's work include Wind Energy Research and Development (34 papers), Power System Reliability and Maintenance (21 papers) and Reliability and Maintenance Optimization (19 papers). David McMillan is often cited by papers focused on Wind Energy Research and Development (34 papers), Power System Reliability and Maintenance (21 papers) and Reliability and Maintenance Optimization (19 papers). David McMillan collaborates with scholars based in United Kingdom, Netherlands and Denmark. David McMillan's co-authors include James Carroll, Alasdair McDonald, G.W. Ault, Iain Dinwoodie, Matthew Revie, Iraklis Lazakis, David Infield, David Hill, Keith Bell and Maurizio Collu and has published in prestigious journals such as Renewable and Sustainable Energy Reviews, Remote Sensing of Environment and IEEE Transactions on Power Systems.

In The Last Decade

David McMillan

93 papers receiving 2.5k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Failure rate, repair time and unscheduled O&M cost analysis of offshore wind turbines

2015 459 citations James Carroll, David McMillan et al. Wind Energy profile →

Peers

Countries citing papers authored by David McMillan

Since Specialization

Citations

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

Fields of papers citing papers by David McMillan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of David McMillan

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

All Works

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20 of 20 papers shown

#	Work	Indexed citations
1	On the Sensitivity of Wind Turbine Failure Rate Estimates to Failure Definitions 2023 ·Journal of Physics Conference Series ·(unknown), (unknown), David McMillan, David García Cava	3
2	A Bayesian reliability analysis exploring the effect of scheduled maintenance on wind turbine time to failure 2023 ·Wind Energy ·(unknown), (unknown), David McMillan, (unknown)	2
3	A Bayesian hierarchical assessment of night shift working for offshore wind farms 2023 ·Wind Energy ·(unknown), David McMillan, (unknown), David García Cava	3
4	Opportunistic maintenance for offshore wind: A review and proposal of future framework 2023 ·Renewable and Sustainable Energy Reviews ·(unknown), Maurizio Collu, David McMillan, James Carroll, Andrea Coraddu	21
5	Subseasonal-to-Seasonal Forecasting for Wind Turbine Maintenance Scheduling 2022 ·ENLIGHTEN (Jurnal Bimbingan dan Konseling Islam) ·(unknown), Jethro Browell, David McMillan	4
6	Leveraging Turbine-Level Data for Improved Probabilistic Wind Power Forecasting 2019 ·IEEE Transactions on Sustainable Energy ·(unknown), Jethro Browell, David McMillan	58
7	Offshore Wind, Ready to Float? Global and UK Trends in the Floating Offshore Wind Market 2019 ·Strathprints: The University of Strathclyde institutional repository (University of Strathclyde) ·Matthew Hannon, (unknown), James Dixon, David McMillan, Maurizio Collu	30
8	Recycling offshore wind farms at decommissioning stage 2019 ·Energy Policy ·(unknown), David McMillan, (unknown), Edward Hart	66
9	A Data-driven Vessel Motion Model for Offshore Access Forecasting 2019 ·OCEANS 2019 - Marseille ·(unknown), Jethro Browell, David McMillan	4
10	Flight Phase Control Strategies for Airborne Wind Energy Systems 2018 ·Journal of Physics Conference Series ·(unknown), David McMillan, S. L. Tabor	1
11	Decision Support Tool for Offshore Wind Farm Vessel Routing under Uncertainty 2018 ·Energies ·(unknown), David McMillan, Matthew Revie	12
12	Use of turbine-level data for improved wind power forecasting 2017 ·ENLIGHTEN (Jurnal Bimbingan dan Konseling Islam) ·Jethro Browell, (unknown), David McMillan	8
13	The Effect of Upscaling and Performance Degradation on Onshore Wind Turbine Lifetime Extension Decision Making 2017 ·Journal of Physics Conference Series ·Tim Rubert, David McMillan, Paweł Niewczas	5
14	Review of Markov Models for Maintenance Optimization in the Context of Offshore Wind 2015 ·Annual Conference of the PHM Society ·(unknown), David McMillan, Matthew Revie	14
15	The Influence of Multiple Working Shifts for Offshore Wind Farm O&M Activities – Strathow-OM Tool 2015 ·(unknown), Iraklis Lazakis, Iain Dinwoodie, David McMillan, Matthew Revie, (unknown)	4
16	Operational strategies for offshore wind turbines to mitigate failure rate uncertainty on operational costs and revenue 2014 ·IET Renewable Power Generation ·Iain Dinwoodie, David McMillan	23
17	A Copula Model of Wind Turbine Performance 2010 ·IEEE Transactions on Power Systems ·Bruce Stephen, Stuart Galloway, David McMillan, David Hill, David Infield	73
18	Application of statistical wind models for system impacts 2009 ·Strathprints: The University of Strathclyde institutional repository (University of Strathclyde) ·David Hill, David McMillan, Keith Bell, David Infield, G.W. Ault	6
19	Implementing the Single European Sky : achievements to date and challenges to overcome 2008 ·David McMillan	0
20	Pedestrian level wind speeds in downtown Auckland 2002 ·Wind and Structures ·P. Richards, Gordon D. Mallinson, David McMillan, (unknown)	44

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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