Simon Blake

30 papers receiving 131 citations

Peers

Simon Blake
Comparison fields: 5 of 45
  • Safety, Risk, Reliability and Quality 44
  • Energy Engineering and Power Technology 7
  • Control and Systems Engineering 39
  • Statistics, Probability and Uncertainty 10
  • Electrical and Electronic Engineering 77
Replace L. Wang with:
L. Wang Canada
Tuomas Rauhala Finland
V. А. Tchekhovski Belarus
L.C. Zanetta Brazil
Yongzhi Cai China
Zeguang Li China
A.S. e Silva Brazil
J. Nordstrom United States
A.G. Phadke United States
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Countries citing papers authored by Simon Blake

Since Specialization
Citations

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

Fields of papers citing papers by Simon Blake

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Simon Blake, 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 Simon Blake Line = papers co-authored together Simon Blake links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 34 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201422
2 201917
3 20138
4 20198
5
Using Imprecise Continuous Time Markov Chains for Assessing the Reliability of Power Networks with Common Cause Failure and Non-Immediate Repair
20158
6 20147
7 20096
8 20136
9 20135
10 20145
11 20134
12
A Robust Data Driven Approach to Quantifying Common-Cause Failure in Power Networks
20134
13 20124
14 20174
15 20143
16 19793
17 20163
18 20132
19 20152
20 20102

About Simon Blake

Simon Blake is a scholar working on Electrical and Electronic Engineering, Safety, Risk, Reliability and Quality, Control and Systems Engineering, Astronomy and Astrophysics and Nuclear and High Energy Physics, having authored 34 papers that have together received 139 indexed citations. Recurring topics across this work include Power System Reliability and Maintenance (10 papers), Thermal Analysis in Power Transmission (7 papers), Astrophysics and Cosmic Phenomena (5 papers), Gamma-ray bursts and supernovae (4 papers), Optimal Power Flow Distribution (4 papers), Advanced Battery Technologies Research (3 papers), Probabilistic and Robust Engineering Design (3 papers) and Electrical Fault Detection and Protection (3 papers). The work is most often cited by research in Safety, Risk, Reliability and Quality (44 citations), Energy Engineering and Power Technology (7 citations), Control and Systems Engineering (39 citations), Statistics, Probability and Uncertainty (10 citations) and Electrical and Electronic Engineering (77 citations). Simon Blake has collaborated with scholars based in United Kingdom, France and United States. Frequent co-authors include Phil Taylor, David W. Miller, Chris Dent, David Roberts, Matthias C. M. Troffaes, Ilias Sarantakos, Jialiang Yi, David Greenwood, P. Davison and Jean-Philippe Amans. Their work appears in journals such as Remote Sensing, Journal of the Operational Research Society, IEEE Transactions on Power Systems, The Journal of Engineering and International Journal of Electrical Power & Energy Systems.

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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