David Laverty

2.9k total citations
119 papers, 2.1k citations indexed

About

David Laverty is a scholar working on Electrical and Electronic Engineering, Control and Systems Engineering and Computer Networks and Communications. According to data from OpenAlex, David Laverty has authored 119 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 88 papers in Electrical and Electronic Engineering, 82 papers in Control and Systems Engineering and 31 papers in Computer Networks and Communications. Recurrent topics in David Laverty's work include Smart Grid Security and Resilience (41 papers), Power System Optimization and Stability (40 papers) and Power Systems Fault Detection (35 papers). David Laverty is often cited by papers focused on Smart Grid Security and Resilience (41 papers), Power System Optimization and Stability (40 papers) and Power Systems Fault Detection (35 papers). David Laverty collaborates with scholars based in United Kingdom, Ireland and United States. David Laverty's 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 and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Cleaner Production and IEEE Access.

In The Last Decade

David Laverty

112 papers receiving 2.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
David Laverty United Kingdom 22 1.3k 1.3k 392 292 233 119 2.1k
Santiago Grijalva United States 32 2.8k 2.1× 1.7k 1.2× 319 0.8× 191 0.7× 303 1.3× 206 3.4k
Chee‐Wooi Ten United States 21 1.2k 0.9× 1.8k 1.3× 960 2.4× 531 1.8× 398 1.7× 56 2.6k
Shaowei Huang China 22 1.3k 1.0× 879 0.7× 249 0.6× 109 0.4× 138 0.6× 132 1.9k
Chuan He China 20 1.5k 1.1× 392 0.3× 317 0.8× 141 0.5× 137 0.6× 90 2.0k
Hamed Mohsenian‐Rad United States 41 4.5k 3.4× 2.9k 2.1× 956 2.4× 573 2.0× 359 1.5× 135 5.5k
S. Massoud Amin United States 13 1.1k 0.8× 947 0.7× 302 0.8× 107 0.4× 167 0.7× 35 1.7k
Victoria M. Catterson United Kingdom 18 1.5k 1.1× 1.3k 1.0× 246 0.6× 85 0.3× 278 1.2× 73 2.3k
Charalambos Konstantinou Saudi Arabia 25 596 0.4× 1.0k 0.8× 688 1.8× 397 1.4× 498 2.1× 119 1.8k
Roberto Napoli Italy 27 2.5k 1.9× 925 0.7× 144 0.4× 58 0.2× 309 1.3× 106 3.2k
K. Shanti Swarup India 33 3.6k 2.7× 1.9k 1.4× 177 0.5× 82 0.3× 425 1.8× 241 4.3k

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-authorship network of co-authors of David Laverty

This figure shows the co-authorship network connecting the top 25 collaborators of David Laverty. A scholar is included among the top collaborators of David Laverty 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 Laverty. David Laverty 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.
Elkhateb, Ahmad, et al.. (2024). A New Single-Active-Switch Non-Isolated Dual-Output Step-up Converter. Research Portal (Queen's University Belfast). 310–317. 1 indexed citations
2.
Laverty, David, et al.. (2024). Data Selection Tool for Analysis of Time Synchronised Sampled Values (TSSV) in Power Systems. Research Portal (Queen's University Belfast). 1–6.
3.
Celeita, David, et al.. (2023). IEC 61850-9-2 based module for state estimation in co-simulated power grids. International Journal of Power Electronics and Drive Systems/International Journal of Electrical and Computer Engineering. 13(3). 2555–2555. 1 indexed citations
4.
McLaughlin, Kieran, et al.. (2023). Secure Real-Time Industrial IoT Communications in Smart Grids Using Named Data Networking. Research Portal (Queen's University Belfast). 1–6. 1 indexed citations
5.
Elkhateb, Ahmad, et al.. (2023). Voltage Lifting Techniques for Non-Isolated DC/DC Converters. Electronics. 12(3). 718–718. 9 indexed citations
6.
Laverty, David, et al.. (2022). Open Source Time Synchronised Sampled Value Logger for Power System Studies. Research Portal (Queen's University Belfast). 1–6. 1 indexed citations
7.
Celeita, David, et al.. (2022). Power systems monitoring with IEC 61850-9-2 Sampled Values for state estimation with the OpenPMU. Research Portal (Queen's University Belfast). 341–346.
8.
Brogan, Paul, et al.. (2021). MQTT Architecture for Stream Analytics of PMU Data. Research Portal (Queen's University Belfast). 1–7. 1 indexed citations
9.
Vanfretti, Luigi, et al.. (2021). FluxPMU - A Maker's Guide of a DIY Synchronized Phasor Measurement Unit. Research Portal (Queen's University Belfast). 1–5.
10.
Laverty, David, et al.. (2017). IEC 61850 substation configuration language as a basis for automated security and SDN configuration. Research Portal (Queen's University Belfast). 1–5. 7 indexed citations
11.
Khan, Rafiullah, et al.. (2017). Model based intrusion detection system for synchrophasor applications in smart grid. 1–5. 16 indexed citations
12.
Laverty, David, Harold Kirkham, D. John Morrow, & Xueqin Liu. (2017). Estimation of goodness of fit of synchrophasors during transient faults. Research Portal (Queen's University Belfast). 1–5. 10 indexed citations
13.
Laverty, David, et al.. (2017). Modernizing wide-area grid communications for distributed energy resource applications using MQTT publish-subscribe protocol. Research Portal (Queen's University Belfast). 1–5. 12 indexed citations
14.
Laverty, David, et al.. (2017). A modular phasor measurement unit design featuring open data exchange methods. 1–5. 9 indexed citations
15.
Khan, Rafiullah, Kieran McLaughlin, David Laverty, & Sakir Sezer. (2017). STRIDE-based threat modeling for cyber-physical systems. Research Portal (Queen's University Belfast). 1–6. 153 indexed citations
16.
Khan, Rafiullah, Kieran McLaughlin, David Laverty, & Sakir Sezer. (2017). Design and Implementation of Security Gateway for Synchrophasor Based Real-Time Control and Monitoring in Smart Grid. IEEE Access. 5. 11626–11644. 33 indexed citations
17.
Brogan, Paul, et al.. (2014). XML data interface and PMU testing applications for synchrophasor estimation with a reconfigurable controller. Research Portal (Queen's University Belfast). 1–5. 3 indexed citations
18.
Laverty, David, et al.. (2014). Securing the smart grid. Research Portal (Queen's University Belfast). 2011. 1–6. 10 indexed citations
19.
Laverty, David, et al.. (2011). OpenPMU: Open source platform for Synchrophasor applications and research. Research Portal (Queen's University Belfast). 1–6. 16 indexed citations
20.
Laverty, David, D. John Morrow, Robert Best, & P.A. Crossley. (2009). Differential ROCOF relay for Loss-of-Mains protection of Renewable Generation using phasor measurement over Internet Protocol. Research Explorer (The University of Manchester). 1–1. 25 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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