A. Nesbitt

1.2k total citations
76 papers, 1.0k citations indexed

About

A. Nesbitt is a scholar working on Electrical and Electronic Engineering, Materials Chemistry and Mechanical Engineering. According to data from OpenAlex, A. Nesbitt has authored 76 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 36 papers in Electrical and Electronic Engineering, 32 papers in Materials Chemistry and 19 papers in Mechanical Engineering. Recurrent topics in A. Nesbitt's work include High voltage insulation and dielectric phenomena (27 papers), Power Transformer Diagnostics and Insulation (25 papers) and Advanced Chemical Physics Studies (15 papers). A. Nesbitt is often cited by papers focused on High voltage insulation and dielectric phenomena (27 papers), Power Transformer Diagnostics and Insulation (25 papers) and Advanced Chemical Physics Studies (15 papers). A. Nesbitt collaborates with scholars based in United Kingdom, Germany and United States. A. Nesbitt's co-authors include Richard Day, A. Hodgson, Gordon Morison, Brian Stewart, D. Bakavos, K.J. Snowdon, David Bond, John W. Ellis, Richard M. Day and Lynne Davies and has published in prestigious journals such as The Journal of Chemical Physics, SHILAP Revista de lepidopterología and Expert Systems with Applications.

In The Last Decade

A. Nesbitt

73 papers receiving 963 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
A. Nesbitt United Kingdom 17 334 289 239 232 190 76 1.0k
Kangwei Wang China 17 173 0.5× 238 0.8× 477 2.0× 57 0.2× 223 1.2× 44 934
Yanli Zhang China 22 363 1.1× 314 1.1× 751 3.1× 249 1.1× 112 0.6× 182 1.7k
Yu Tian China 20 108 0.3× 236 0.8× 619 2.6× 213 0.9× 45 0.2× 71 1.2k
F.P. Dawson Canada 23 421 1.3× 374 1.3× 1.3k 5.3× 132 0.6× 181 1.0× 188 2.1k
Dongqi Liu China 18 85 0.3× 351 1.2× 437 1.8× 64 0.3× 183 1.0× 99 1.1k
Danyang Zhu China 20 916 2.7× 300 1.0× 377 1.6× 120 0.5× 50 0.3× 73 1.6k
Wenfu Wei China 21 779 2.3× 323 1.1× 375 1.6× 249 1.1× 54 0.3× 115 1.5k
Ming Huang China 23 388 1.2× 224 0.8× 244 1.0× 40 0.2× 31 0.2× 105 1.3k
Xiaopeng Wu China 18 121 0.4× 99 0.3× 355 1.5× 70 0.3× 127 0.7× 58 1.1k
Jiawei Li China 20 169 0.5× 317 1.1× 814 3.4× 225 1.0× 95 0.5× 115 1.3k

Countries citing papers authored by A. Nesbitt

Since Specialization
Citations

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

Fields of papers citing papers by A. Nesbitt

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of A. Nesbitt

This figure shows the co-authorship network connecting the top 25 collaborators of A. Nesbitt. A scholar is included among the top collaborators of A. Nesbitt 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 A. Nesbitt. A. Nesbitt 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.
Massimi, Lorenzo, Marco Endrizzi, A. Nesbitt, et al.. (2023). Quantification of porosity in composite plates using planar X-ray phase contrast imaging. NDT & E International. 139. 102935–102935. 2 indexed citations
2.
Nesbitt, A., et al.. (2022). Dynamic Noise Reduction with Deep Residual Shrinkage Networks for Online Fault Classification. Sensors. 22(2). 515–515. 7 indexed citations
3.
Nesbitt, A., et al.. (2022). Unsupervised Source Separation for Multi-Label Classification. 2022 30th European Signal Processing Conference (EUSIPCO). 1686–1690.
4.
Nesbitt, A., et al.. (2021). Data-Driven Anomaly Detection in High-Voltage Transformer Bushings with LSTM Auto-Encoder. Sensors. 21(21). 7426–7426. 12 indexed citations
5.
Nesbitt, A., et al.. (2019). A Hybrid Cloud for Data Analytics in Electrical Substation Condition Monitoring Systems. ResearchOnline (Glasgow Caledonian University). 283–288. 1 indexed citations
6.
Morison, Gordon, et al.. (2018). Entropy-Based Feature Extraction for Electromagnetic Discharges Classification in High-Voltage Power Generation. Entropy. 20(8). 549–549. 5 indexed citations
7.
Morison, Gordon, et al.. (2018). Imaging Time Series for the Classification of EMI Discharge Sources. Sensors. 18(9). 3098–3098. 16 indexed citations
8.
Morison, Gordon, et al.. (2018). Classification of Partial Discharge Signals by Combining Adaptive Local Iterative Filtering and Entropy Features. Sensors. 18(2). 406–406. 27 indexed citations
9.
Morison, Gordon, et al.. (2017). Classification of partial discharge signals by combining adaptive local iterative filtering and entropy features. ResearchOnline. 335–338. 11 indexed citations
10.
Nesbitt, A., et al.. (2015). Statistical analysis of simultaneous partial discharge measurements from IEC60270, HFCT and HFCT EMI methods. ResearchOnline (Glasgow Caledonian University). 2. 454–457. 2 indexed citations
11.
12.
Nesbitt, A., et al.. (2014). Analysis of HV cable faults based on correlated HFCT and IEC60270 measurements. ResearchOnline (Glasgow Caledonian University). 7. 168–171. 4 indexed citations
13.
Wilkinson, Arthur, et al.. (2013). Comparison Of The Dynamic Curing Kinetics Of Araldite DLS 772 / 4 4' DDS Epoxy System Using Differential Scanning Calorimetry And Microwave Heated Calorimeter. International journal of scientific and technology research. 2(5). 6–15. 2 indexed citations
14.
Wilkinson, Arthur, et al.. (2013). Decomposition And Chemical Analysis Of Cured Epoxy System Using A Microwave Reaction System. International journal of scientific and technology research. 2(2). 19–26. 1 indexed citations
15.
Wilkinson, Arthur, et al.. (2013). Effect Of Curing Method On Physical And Mechanical Properties Of Araldite DLS 772 / 4 4 DDS Epoxy System. International journal of scientific and technology research. 2(2). 12–18. 5 indexed citations
16.
Mas’ud, Abdullahi Abubakar, Brian Stewart, Scott G. McMeekin, & A. Nesbitt. (2010). An ensemble Neural Network for recognizing PD patterns. International Universities Power Engineering Conference. 1–6. 5 indexed citations
17.
Nesbitt, A., et al.. (2010). Hygrothermal degradation of 977-2A carbon/epoxy composite laminates cured in autoclave and Quickstep. Composites Part A Applied Science and Manufacturing. 41(8). 942–953. 57 indexed citations
18.
Yusoff, Rozita, Mohamed Kheireddine Aroua, A. Nesbitt, & Richard Day. (2007). CURING OF POLYMERIC COMPOSITES USING MICROWAVE RESIN TRANSFER MOULDING (RTM). SHILAP Revista de lepidopterología. 18 indexed citations
19.
Nesbitt, A., et al.. (2004). Development of a microwave calorimeter for simultaneous thermal analysis, infrared spectroscopy and dielectric measurements. Measurement Science and Technology. 15(11). 2313–2324. 32 indexed citations
20.
Snowdon, K.J., et al.. (1998). Surface-induced dissociation of H3+ and C4H10+ on Pt(111) and CH+ on Cu(111). International Journal of Mass Spectrometry and Ion Processes. 174(1-3). 73–80. 5 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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