Raymon van Dinter

950 total citations · 2 hit papers
8 papers, 532 citations indexed

About

Raymon van Dinter is a scholar working on Safety, Risk, Reliability and Quality, Information Systems and Artificial Intelligence. According to data from OpenAlex, Raymon van Dinter has authored 8 papers receiving a total of 532 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Safety, Risk, Reliability and Quality, 3 papers in Information Systems and 2 papers in Artificial Intelligence. Recurrent topics in Raymon van Dinter's work include Technology Assessment and Management (3 papers), Software Engineering Research (2 papers) and Explainable Artificial Intelligence (XAI) (2 papers). Raymon van Dinter is often cited by papers focused on Technology Assessment and Management (3 papers), Software Engineering Research (2 papers) and Explainable Artificial Intelligence (XAI) (2 papers). Raymon van Dinter collaborates with scholars based in Netherlands, Qatar and Singapore. Raymon van Dinter's co-authors include Cagatay Catal, Bedir Teki̇nerdoğan, Görkem Giray and Philippe Leduc and has published in prestigious journals such as Expert Systems with Applications, Applied Soft Computing and Computers & Industrial Engineering.

In The Last Decade

Raymon van Dinter

8 papers receiving 502 citations

Hit Papers

Predictive maintenance using digital twins: A systematic ... 2021 2026 2022 2024 2022 2021 50 100 150 200

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Raymon van Dinter Netherlands 6 178 81 73 68 57 8 532
Katerina Lepenioti Greece 7 218 1.2× 63 0.8× 58 0.8× 43 0.6× 60 1.1× 15 593
Fengtian Chang China 16 441 2.5× 87 1.1× 66 0.9× 57 0.8× 61 1.1× 42 758
Kwang-Kyu Seo South Korea 12 182 1.0× 59 0.7× 44 0.6× 85 1.3× 31 0.5× 48 600
Jaime Campos Sweden 12 138 0.8× 27 0.3× 64 0.9× 53 0.8× 82 1.4× 57 516
Tamás Ruppert Hungary 16 574 3.2× 34 0.4× 44 0.6× 48 0.7× 61 1.1× 54 873
Igor Kabashkin Latvia 11 74 0.4× 30 0.4× 29 0.4× 32 0.5× 66 1.2× 80 385
Mario Di Nardo Italy 15 282 1.6× 29 0.4× 53 0.7× 43 0.6× 36 0.6× 49 690
Vibhor Pandhare United States 8 446 2.5× 81 1.0× 35 0.5× 49 0.7× 162 2.8× 11 798
Ashkan Negahban United States 14 406 2.3× 53 0.7× 32 0.4× 24 0.4× 68 1.2× 40 936
Jim Davis United States 9 463 2.6× 55 0.7× 30 0.4× 107 1.6× 122 2.1× 20 809

Countries citing papers authored by Raymon van Dinter

Since Specialization
Citations

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

Fields of papers citing papers by Raymon van Dinter

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Raymon van Dinter. 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 Raymon van Dinter. The network helps show where Raymon van Dinter may publish in the future.

Co-authorship network of co-authors of Raymon van Dinter

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

All Works

8 of 8 papers shown
1.
Dinter, Raymon van, Cagatay Catal, Görkem Giray, & Bedir Teki̇nerdoğan. (2023). Just-in-time defect prediction for mobile applications: using shallow or deep learning?. Software Quality Journal. 31(4). 1281–1302. 8 indexed citations
2.
Dinter, Raymon van, et al.. (2023). Architecting a Digital Twin-Based Predictive Maintenance System for Modelling Cable Joint Degradation. Socio-Environmental Systems Modeling. 4(1). 1 indexed citations
3.
Dinter, Raymon van, et al.. (2023). Forecasting Partial Discharges of Cable Joints using Weather data. Socio-Environmental Systems Modeling. 30–31. 1 indexed citations
4.
Dinter, Raymon van, Bedir Teki̇nerdoğan, & Cagatay Catal. (2023). Reference architecture for digital twin-based predictive maintenance systems. Computers & Industrial Engineering. 177. 109099–109099. 45 indexed citations
5.
Dinter, Raymon van, Bedir Teki̇nerdoğan, & Cagatay Catal. (2022). Predictive maintenance using digital twins: A systematic literature review. Information and Software Technology. 151. 107008–107008. 235 indexed citations breakdown →
6.
Dinter, Raymon van, Cagatay Catal, & Bedir Teki̇nerdoğan. (2021). A Multi-Channel Convolutional Neural Network approach to automate the citation screening process. Applied Soft Computing. 112. 107765–107765. 15 indexed citations
7.
Dinter, Raymon van, Bedir Teki̇nerdoğan, & Cagatay Catal. (2021). Automation of systematic literature reviews: A systematic literature review. Information and Software Technology. 136. 106589–106589. 217 indexed citations breakdown →
8.
Dinter, Raymon van, Cagatay Catal, & Bedir Teki̇nerdoğan. (2021). A decision support system for automating document retrieval and citation screening. Expert Systems with Applications. 182. 115261–115261. 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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