David Laverty

2.9k citations
119 papers · 2.1k indexed · h-index 22

Impact in

Papers in

David Laverty

112 papers receiving 2.0k citations

Peers

David Laverty
Comparison fields: 5 of 109
  • Control and Systems Engineering 1.3k
  • Electrical and Electronic Engineering 1.3k
  • Computer Networks and Communications 392
  • Safety, Risk, Reliability and Quality 150
  • Information Systems 292
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Chee‐Wooi Ten United States
Shaowei Huang China
S. Massoud Amin United States
Victoria M. Catterson United Kingdom
Mahmoud M. Amin United States
Charalambos Konstantinou Saudi Arabia
Santiago Grijalva United States
George Gross United States
Dilan Sahin Türkiye
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Citations per year

Countries citing papers authored by David Laverty

Since Specialization
Citations

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

Fields of papers citing papers by David Laverty

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 119 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2017153
2 2016150
3 2016124
4 2016111
5 2013108
6 201587
7 201086
8 201576
9 201464
10 202264
11 201057
12 201754
13 202250
14 201643
15 202142
16 201634
17 201733
18 202233
19 201631
20
Differential ROCOF relay for Loss-of-Mains protection of Renewable Generation using phasor measurement over Internet Protocol
200925

About David Laverty

David Laverty is a scholar working on Electrical and Electronic Engineering, Control and Systems Engineering, Computer Networks and Communications, Information Systems and Artificial Intelligence, having authored 119 papers that have together received 2.1k indexed citations. Recurring topics across this work include Smart Grid Security and Resilience (41 papers), Power System Optimization and Stability (40 papers), Power Systems Fault Detection (35 papers), Islanding Detection in Power Systems (26 papers), Smart Grid Energy Management (19 papers), Microgrid Control and Optimization (18 papers), Network Security and Intrusion Detection (15 papers) and Power Line Communications and Noise (11 papers). The work is most often cited by research in Control and Systems Engineering (1.3k citations), Electrical and Electronic Engineering (1.3k citations), Computer Networks and Communications (392 citations), Safety, Risk, Reliability and Quality (150 citations) and Information Systems (292 citations). David Laverty has collaborated with scholars based in United Kingdom, Ireland and United States. Frequent co-authors include D. John Morrow, Robert Best, Kieran McLaughlin, Rafiullah Khan, Sakir Sezer, Seán McLoone, Xueqin Liu, P.A. Crossley, Aoife Foley and Sakir Sezer. Their work appears in journals such as IEEE Transactions on Power Delivery, IEEE Transactions on Smart Grid, IEEE Access, IEEE Transactions on Instrumentation and Measurement and IET Smart Grid.

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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