Richard Dwight

996 total citations
37 papers, 640 citations indexed

About

Richard Dwight is a scholar working on Safety, Risk, Reliability and Quality, Management Information Systems and Medical Laboratory Technology. According to data from OpenAlex, Richard Dwight has authored 37 papers receiving a total of 640 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Safety, Risk, Reliability and Quality, 7 papers in Management Information Systems and 7 papers in Medical Laboratory Technology. Recurrent topics in Richard Dwight's work include Reliability and Maintenance Optimization (11 papers), Quality and Safety in Healthcare (7 papers) and Quality and Supply Management (6 papers). Richard Dwight is often cited by papers focused on Reliability and Maintenance Optimization (11 papers), Quality and Safety in Healthcare (7 papers) and Quality and Supply Management (6 papers). Richard Dwight collaborates with scholars based in Australia, United Kingdom and United Arab Emirates. Richard Dwight's co-authors include Tieling Zhang, Phil Scarf, Cristiano Alexandre Virgínio Cavalcante, M.D. Berrade, Paul E. McMahon, Paul M. K. Gordon, Petri Helo, Kongkiti Phusavat, Wenxu Li and Pornthep Anussornnitisarn and has published in prestigious journals such as Expert Systems with Applications, IEEE Access and International Journal of Production Economics.

In The Last Decade

Richard Dwight

36 papers receiving 582 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Richard Dwight Australia 14 255 122 116 105 87 37 640
Gopinath Chattopadhyay Australia 13 308 1.2× 98 0.8× 126 1.1× 130 1.2× 117 1.3× 76 678
Peter Söderholm Sweden 14 250 1.0× 67 0.5× 107 0.9× 155 1.5× 119 1.4× 49 715
D. J. Sherwin Sweden 10 340 1.3× 37 0.3× 153 1.3× 116 1.1× 62 0.7× 26 611
Adriaan Van Horenbeek Belgium 14 533 2.1× 39 0.3× 248 2.1× 182 1.7× 217 2.5× 27 1.1k
W.J. Kolarik United States 12 263 1.0× 19 0.2× 156 1.3× 119 1.1× 78 0.9× 30 724
Lawrence Mann United States 11 214 0.8× 49 0.4× 57 0.5× 58 0.6× 57 0.7× 15 493
Basim Al‐Najjar Sweden 16 541 2.1× 54 0.4× 129 1.1× 367 3.5× 300 3.4× 69 1.2k
Christer Stenström Sweden 12 164 0.6× 121 1.0× 60 0.5× 178 1.7× 128 1.5× 44 643
Urho Pulkkinen Finland 11 228 0.9× 69 0.6× 179 1.5× 325 3.1× 395 4.5× 44 914
Nanua Singh United States 15 258 1.0× 14 0.1× 164 1.4× 101 1.0× 107 1.2× 39 854

Countries citing papers authored by Richard Dwight

Since Specialization
Citations

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

Fields of papers citing papers by Richard Dwight

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Richard Dwight

This figure shows the co-authorship network connecting the top 25 collaborators of Richard Dwight. A scholar is included among the top collaborators of Richard Dwight 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 Richard Dwight. Richard Dwight 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.
Dwight, Richard, et al.. (2025). Maintenance planning using a digital twin: principles and case studies. Reliability Engineering & System Safety. 265. 111496–111496. 1 indexed citations
2.
Hussain, Muhammad Nihal, et al.. (2024). Energy pipeline degradation condition assessment using predictive analytics – challenges, issues, and future directions. Journal of Pipeline Science and Engineering. 4(3). 100178–100178. 7 indexed citations
3.
Kiridena, Senevi, Wenxu Li, & Richard Dwight. (2022). Development and Validation of an Overall Equipment Efficiency Measurement Model for Supporting Operational Excellence. IFAC-PapersOnLine. 55(10). 3076–3081. 3 indexed citations
4.
McMahon, Paul E., Tieling Zhang, & Richard Dwight. (2020). Approaches to Dealing With Missing Data in Railway Asset Management. IEEE Access. 8. 48177–48194. 11 indexed citations
5.
McMahon, Paul E., Tieling Zhang, & Richard Dwight. (2020). Requirements for Big Data Adoption for Railway Asset Management. IEEE Access. 8. 15543–15564. 33 indexed citations
6.
Kiridena, Senevi, et al.. (2018). Contextualist-retroductive case study design for strategic asset management research. Production Planning & Control. 29(16). 1332–1342. 4 indexed citations
7.
Zhang, Tieling, et al.. (2016). Developing an optimum maintenance policy by life cycle cost analysis – a case study. International Journal of Production Research. 54(19). 5946–5962. 7 indexed citations
8.
Li, Wenxu, Richard Dwight, & Tieling Zhang. (2015). On the study of vibration of a supported railway rail using the semi-analytical finite element method. Journal of Sound and Vibration. 345. 121–145. 25 indexed citations
9.
Dwight, Richard, et al.. (2015). Managing Maintenance Resources for Better Asset Utilisation. 11(2). 123–134. 2 indexed citations
10.
Hanson, David G., et al.. (2014). Curve Squeal: Causes, Treatments and Results. 4 indexed citations
11.
Dwight, Richard, et al.. (2013). A framework for the engineering asset management system. Journal of Quality in Maintenance Engineering. 19(4). 398–412. 42 indexed citations
12.
Lau, H.C.W. & Richard Dwight. (2011). A fuzzy-based decision support model for engineering asset condition monitoring – A case study of examination of water pipelines. Expert Systems with Applications. 38(10). 13342–13350. 18 indexed citations
13.
Dwight, Richard, et al.. (2009). The role of asset management in enterprise strategy success. Research Online (University of Wollongong). 68. 2 indexed citations
14.
Dwight, Richard, et al.. (2006). Determining wheel-rail wear conditions using wheel-rail noise. Research Online (University of Wollongong). 389. 2 indexed citations
15.
Dwight, Richard, Timothy J. McCarthy, Anna L. Carew, & Brian Ferry. (2006). Providing a Context for First Year Engineering Students: A Report on Attempts at Course Inversion. Research Online (University of Wollongong). 170. 2 indexed citations
16.
Dwight, Richard, et al.. (2006). On-board Wheel-rail Noise Monitoring for the Direction of Track Maintenance. 521. 3 indexed citations
17.
Scarf, Phil, et al.. (2006). Asset replacement for an urban railway using a modified two-cycle replacement model. Journal of the Operational Research Society. 58(9). 1123–1137. 13 indexed citations
18.
Scarf, Phil, et al.. (2004). On reliability criteria and the implied cost of failure for a maintained component. Reliability Engineering & System Safety. 89(2). 199–207. 23 indexed citations
19.
Dwight, Richard. (1999). Searching for real maintenance performance measures. Journal of Quality in Maintenance Engineering. 5(3). 258–275. 37 indexed citations
20.
Dwight, Richard. (1994). Connecting Maintenance Performance to Business Improvement. 159. 1 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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