Victoria M. Catterson

3.0k total citations · 1 hit paper
73 papers, 2.3k citations indexed

About

Victoria M. Catterson is a scholar working on Electrical and Electronic Engineering, Control and Systems Engineering and Materials Chemistry. According to data from OpenAlex, Victoria M. Catterson has authored 73 papers receiving a total of 2.3k indexed citations (citations by other indexed papers that have themselves been cited), including 41 papers in Electrical and Electronic Engineering, 40 papers in Control and Systems Engineering and 19 papers in Materials Chemistry. Recurrent topics in Victoria M. Catterson's work include Power Transformer Diagnostics and Insulation (28 papers), High voltage insulation and dielectric phenomena (19 papers) and Machine Fault Diagnosis Techniques (13 papers). Victoria M. Catterson is often cited by papers focused on Power Transformer Diagnostics and Insulation (28 papers), High voltage insulation and dielectric phenomena (19 papers) and Machine Fault Diagnosis Techniques (13 papers). Victoria M. Catterson collaborates with scholars based in United Kingdom, United States and Canada. Victoria M. Catterson's co-authors include S.D.J. McArthur, E.M. Davidson, Nikos Hatziargyriou, Ferdinanda Ponci, Aris Dimeas, Toshihisa Funabashi, Jose Ignacio Aizpurua, Toshihisa Funabashi, Brian Stewart and Maria Del Carmen Segovia Garcia and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Industrial Electronics and CHEST Journal.

In The Last Decade

Victoria M. Catterson

70 papers receiving 2.1k citations

Hit Papers

align trajectories sort by overperformance

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.

Multi-Agent Systems for Power Engineering Applications—Part I: Concepts, Approaches, and Technical Challenges

2007 820 citations S.D.J. McArthur, E.M. Davidson et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Victoria M. Catterson United Kingdom	18	1.5k	1.3k	278	273	246	73	2.3k
Alfredo Vaccaro Italy	32	2.9k 1.9×	1.7k 1.3×	258 0.9×	155 0.6×	374 1.5×	203	3.7k
Roberto Napoli Italy	27	2.5k 1.6×	925 0.7×	309 1.1×	89 0.3×	144 0.6×	106	3.2k
Hamid Reza Shaker Denmark	30	1.6k 1.1×	1.5k 1.2×	442 1.6×	80 0.3×	106 0.4×	193	2.8k
Elias Kyriakides Cyprus	36	4.2k 2.8×	3.1k 2.5×	275 1.0×	207 0.8×	181 0.7×	183	5.1k
P.A. Crossley United Kingdom	33	3.8k 2.5×	3.1k 2.4×	182 0.7×	284 1.0×	215 0.9×	223	4.4k
Dusmanta Kumar Mohanta India	31	2.1k 1.4×	1.8k 1.4×	153 0.6×	119 0.4×	91 0.4×	165	3.1k
Wenhu Tang China	35	2.8k 1.8×	1.1k 0.9×	473 1.7×	771 2.8×	95 0.4×	173	3.7k
Xiangjun Zeng China	26	2.1k 1.4×	1.8k 1.4×	154 0.6×	93 0.3×	114 0.5×	230	2.7k
S.D.J. McArthur United Kingdom	31	2.7k 1.8×	2.5k 2.0×	694 2.5×	517 1.9×	476 1.9×	184	4.4k
Hongyu Wu United States	31	2.3k 1.5×	1.1k 0.8×	273 1.0×	216 0.8×	385 1.6×	134	3.2k

Countries citing papers authored by Victoria M. Catterson

Since Specialization

Citations

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

Fields of papers citing papers by Victoria M. Catterson

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Victoria M. Catterson. 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 Victoria M. Catterson. The network helps show where Victoria M. Catterson may publish in the future.

Co-authorship network of co-authors of Victoria M. Catterson

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Catterson, Victoria M., et al.. (2024). Meta-Analysis of Sexual Violence in Armed Conflict: Implications for a Women, Peace, and Security Agenda. Violence and Gender. 11(2). 59–71. 1 indexed citations

Gandomi, Amir, Shahrzad Hosseini Vajargah, Victoria M. Catterson, et al.. (2023). Drivers of mortality in COVID ARDS depend on patient sub-type. Computers in Biology and Medicine. 166. 107483–107483. 2 indexed citations

Temesgen, Zelalem, Colleen F. Kelley, Frank Cerasoli, et al.. (2022). C reactive protein utilisation, a biomarker for early COVID-19 treatment, improves lenzilumab efficacy: results from the randomised phase 3 ‘LIVE-AIR’ trial. Thorax. 78(6). thoraxjnl–2022. 8 indexed citations

Aizpurua, Jose Ignacio, et al.. (2019). Improved power transformer condition monitoring under uncertainty through soft computing and probabilistic health index. Applied Soft Computing. 85. 105530–105530. 31 indexed citations

Aizpurua, Jose Ignacio, et al.. (2018). Uncertainty-Aware Fusion of Probabilistic Classifiers for Improved Transformer Diagnostics. IEEE Transactions on Systems Man and Cybernetics Systems. 51(1). 621–633. 17 indexed citations

Aizpurua, Jose Ignacio, et al.. (2018). Adaptive Power Transformer Lifetime Predictions Through Machine Learning and Uncertainty Modeling in Nuclear Power Plants. IEEE Transactions on Industrial Electronics. 66(6). 4726–4737. 125 indexed citations

Marinelli, Mattia, Kai Heussen, Alexander Prostejovsky, et al.. (2017). Scenario-based approach adopted in the ELECTRA project for deriving innovative control room functionality. CIRED - Open Access Proceedings Journal. 2017(1). 1450–1453. 1 indexed citations

West, Graeme, et al.. (2016). Implementation Of A Bayesian Linear Regression Framework For Nuclear Prognostics. PHM Society European Conference. 3(1). 1 indexed citations

Catterson, Victoria M., et al.. (2016). Diagnosis of Tidal Turbine Vibration Data through Deep Neural Networks. PHM Society European Conference. 3(1). 17 indexed citations

10.

McGhee, Michael, et al.. (2014). Prognostic Modeling of Valve Degradation within Power Stations. Annual Conference of the PHM Society. 6(1). 9 indexed citations

11.

Catterson, Victoria M., et al.. (2014). Prognostic modeling for electrical treeing in solid insulation using pulse sequence analysis. Research Explorer (The University of Manchester). 373–376. 6 indexed citations

12.

Catterson, Victoria M., et al.. (2014). Anomaly Detection Techniques for the Condition Monitoring of Tidal Turbines. Annual Conference of the PHM Society. 6(1). 2 indexed citations

13.

Catterson, Victoria M., E.M. Davidson, & S.D.J. McArthur. (2011). Embedded Intelligence for Electrical Network Operation and Control. IEEE Intelligent Systems. 26(2). 38–45. 16 indexed citations

14.

Catterson, Victoria M., E.M. Davidson, & S.D.J. McArthur. (2011). Practical applications of multi‐agent systems in electric power systems. European Transactions on Electrical Power. 22(2). 235–252. 32 indexed citations

15.

Bahadoorsingh, S., et al.. (2010). The role of circumstance monitoring on the diagnostic interpretation of condition monitoring data. Research Explorer (The University of Manchester). 1–5. 2 indexed citations

16.

Bahadoorsingh, S., et al.. (2010). Interpretation of partial discharge activity in the presence of harmonics. Research Explorer (The University of Manchester). 1–4. 7 indexed citations

17.

Catterson, Victoria M., et al.. (2009). Design of an intelligent diagnostic architecture to support the condition monitoring of power generation assets. International Universities Power Engineering Conference. 1–5. 2 indexed citations

18.

Catterson, Victoria M., et al.. (2009). Integrating an Agent-Based Wireless Sensor Network within an Existing Multi-Agent Condition Monitoring System. 1–6. 9 indexed citations

19.

Judd, M.D., S.D.J. McArthur, Alistair Reid, et al.. (2006). Investigation of radiometric partial discharge detection for use in switched HVDC testing. 2006 IEEE Power Engineering Society General Meeting. 135. 7 pp.–7 pp.. 12 indexed citations

20.

Catterson, Victoria M. & S.D.J. McArthur. (2006). Using evidence combination for transformer defect diagnosis. Strathprints: The University of Strathclyde institutional repository (University of Strathclyde). 1(1). 10 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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