Luke Reedman

1000 total citations
36 papers, 734 citations indexed

About

Luke Reedman is a scholar working on Electrical and Electronic Engineering, Renewable Energy, Sustainability and the Environment and Economics and Econometrics. According to data from OpenAlex, Luke Reedman has authored 36 papers receiving a total of 734 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Electrical and Electronic Engineering, 13 papers in Renewable Energy, Sustainability and the Environment and 10 papers in Economics and Econometrics. Recurrent topics in Luke Reedman's work include Climate Change Policy and Economics (9 papers), Smart Grid Energy Management (8 papers) and Environmental Impact and Sustainability (7 papers). Luke Reedman is often cited by papers focused on Climate Change Policy and Economics (9 papers), Smart Grid Energy Management (8 papers) and Environmental Impact and Sustainability (7 papers). Luke Reedman collaborates with scholars based in Australia, China and United Kingdom. Luke Reedman's co-authors include Jing Qiu, Paul Graham, Ke Meng, Dongxiao Wang, Loi Lei Lai, Peter J Coombes, Josh Wall, Julio H. Braslavsky, Zhao Yang Dong and Xi Chen and has published in prestigious journals such as SHILAP Revista de lepidopterología, Applied Energy and IEEE Transactions on Power Systems.

In The Last Decade

Luke Reedman

32 papers receiving 694 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Luke Reedman Australia 12 393 208 167 162 119 36 734
A.J. Seebregts Netherlands 14 467 1.2× 107 0.5× 190 1.1× 276 1.7× 146 1.2× 27 989
Bingkang Li China 18 534 1.4× 179 0.9× 135 0.8× 117 0.7× 98 0.8× 39 860
Klaus Skytte Denmark 15 809 2.1× 109 0.5× 294 1.8× 351 2.2× 100 0.8× 54 1.1k
Giancarlo Áquila Brazil 20 461 1.2× 112 0.5× 150 0.9× 159 1.0× 112 0.9× 46 906
Géremi Gilson Dranka Brazil 12 422 1.1× 104 0.5× 58 0.3× 151 0.9× 38 0.3× 28 598
Tian Xia China 16 557 1.4× 201 1.0× 114 0.7× 128 0.8× 61 0.5× 58 804
Peerapat Vithayasrichareon Australia 11 309 0.8× 68 0.3× 140 0.8× 150 0.9× 71 0.6× 23 522
Cedric De Jonghe Belgium 14 996 2.5× 228 1.1× 139 0.8× 228 1.4× 47 0.4× 30 1.1k
Arnaud Mercier Netherlands 12 601 1.5× 130 0.6× 98 0.6× 282 1.7× 155 1.3× 12 1.0k
Clara F. Heuberger United Kingdom 14 650 1.7× 211 1.0× 130 0.8× 202 1.2× 139 1.2× 18 1.1k

Countries citing papers authored by Luke Reedman

Since Specialization
Citations

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

Fields of papers citing papers by Luke Reedman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Luke Reedman

This figure shows the co-authorship network connecting the top 25 collaborators of Luke Reedman. A scholar is included among the top collaborators of Luke Reedman 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 Luke Reedman. Luke Reedman 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.
Reedman, Luke, et al.. (2022). Modelling least-cost technology pathways to decarbonise the New South Wales energy system by 2050. SHILAP Revista de lepidopterología. 3. 100041–100041. 11 indexed citations
2.
Fragkos, Panagiotis, Roberto Schaeffer, Luke Reedman, et al.. (2020). Energy system transitions and low-carbon pathways in Australia, Brazil, Canada, China, EU-28, India, Indonesia, Japan, Republic of Korea, Russia and the United States. Energy. 216. 119385–119385. 193 indexed citations
3.
Chen, Xi, et al.. (2020). A new trading mechanism for prosumers based on flexible reliability preferences in active distribution network. Applied Energy. 283. 116272–116272. 5 indexed citations
4.
Denis-Ryan, Amandine, et al.. (2020). Decarbonisation futures: solutions, actions and benchmarks for a net zero emissions Australia. 17 indexed citations
5.
Chen, Xi, Jing Qiu, Luke Reedman, & Zhao Yang Dong. (2019). A Statistical Risk Assessment Framework for Distribution Network Resilience. IEEE Transactions on Power Systems. 34(6). 4773–4783. 48 indexed citations
6.
Reedman, Luke, Alexandre C. Köberle, Roberto Schaeffer, et al.. (2018). Long-term, Low-emission Pathways in Australia, Brazil, Canada, China, EU, India, Indonesia, Japan, Republic of Korea, Russia, and United States. 76. 5 indexed citations
7.
Reedman, Luke, et al.. (2018). Comparison of CST with different hours of storage in the Australian National Electricity Market. Renewable Energy. 122. 487–496. 3 indexed citations
8.
Wang, Dongxiao, Jing Qiu, Luke Reedman, Ke Meng, & Loi Lei Lai. (2018). Two-stage energy management for networked microgrids with high renewable penetration. Applied Energy. 226. 39–48. 176 indexed citations
9.
Hayward, Jennifer A., et al.. (2017). A Global and Local Learning Model of Transport (GALLM-T). 2 indexed citations
10.
Qiu, Jing, et al.. (2017). Network reinforcement for grid resiliency under extreme events. 1–5. 6 indexed citations
11.
Hayward, Jennifer A., et al.. (2017). Low emissions technology roadmap. 11 indexed citations
12.
Braslavsky, Julio H., Josh Wall, & Luke Reedman. (2015). Optimal distributed energy resources and the cost of reduced greenhouse gas emissions in a large retail shopping centre. Applied Energy. 155. 120–130. 46 indexed citations
13.
Dunstall, Simon, Tarek Elgindy, Andreas Ernst, et al.. (2013). Accounting for renewable energy supply intermittency in energy systems modelling. Piantadosi, J., Anderssen, R.S. and Boland J. (eds) MODSIM2013, 20th International Congress on Modelling and Simulation. 1 indexed citations
14.
Hayward, Jennifer A., Alan Rai, Geoff James, et al.. (2013). Modelling the Future Grid Forum scenarios. CSIRO. 10 indexed citations
15.
Wagner, Liam & Luke Reedman. (2012). Establishing the potential grid benefits and detractions of the deployment of vehicles to grid electric vehicles. Queensland's institutional digital repository (The University of Queensland). 111(5). 475–483. 1 indexed citations
16.
Reedman, Luke. (2011). Can the Large Scale Deployment of Distributed Generation Onto Electricity Markets Reduce Carbon Emissions: An Australian Case Study. 1 indexed citations
17.
Reedman, Luke & Paul Graham. (2011). Road transport sector modelling: supplementary report on clean energy future and government policy scenarios.
18.
Adams, Phillip, Deborah O’Connell, Jennifer A. Hayward, et al.. (2011). Sustainable Aviation Fuels Road Map: Data Assumptions and Modelling. CSIRO. 10 indexed citations
19.
Wagner, Liam & Luke Reedman. (2010). Modeling the deployment of plug-in hybrid and electric vehicles and their effects on the Australian National Electricity Market. Griffith Research Online (Griffith University, Queensland, Australia). 165–170. 6 indexed citations
20.

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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