Mark David Jenkins

627 total citations
18 papers, 492 citations indexed

About

Mark David Jenkins is a scholar working on Civil and Structural Engineering, Mechanical Engineering and Computer Vision and Pattern Recognition. According to data from OpenAlex, Mark David Jenkins has authored 18 papers receiving a total of 492 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Civil and Structural Engineering, 6 papers in Mechanical Engineering and 5 papers in Computer Vision and Pattern Recognition. Recurrent topics in Mark David Jenkins's work include Infrastructure Maintenance and Monitoring (9 papers), Non-Destructive Testing Techniques (5 papers) and Asphalt Pavement Performance Evaluation (3 papers). Mark David Jenkins is often cited by papers focused on Infrastructure Maintenance and Monitoring (9 papers), Non-Destructive Testing Techniques (5 papers) and Asphalt Pavement Performance Evaluation (3 papers). Mark David Jenkins collaborates with scholars based in United Kingdom. Mark David Jenkins's co-authors include Gordon Morison, Peter Barrie, Mike Mannion, James I. Drever, A. Nesbitt and Brian Stewart and has published in prestigious journals such as Journal of Geophysical Research Atmospheres, IEEE Transactions on Intelligent Transportation Systems and IEEE Transactions on Cybernetics.

In The Last Decade

Mark David Jenkins

18 papers receiving 477 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mark David Jenkins United Kingdom 11 372 139 52 52 46 18 492
Xiaoming Huang China 11 407 1.1× 82 0.6× 53 1.0× 31 0.6× 41 0.9× 51 524
Wenjun Wang China 13 457 1.2× 167 1.2× 66 1.3× 69 1.3× 92 2.0× 41 630
Shi Qiu China 10 252 0.7× 92 0.7× 35 0.7× 64 1.2× 47 1.0× 33 366
Mohamad Alipour United States 13 487 1.3× 106 0.8× 75 1.4× 32 0.6× 89 1.9× 44 671
Tatsuro Yamane Japan 12 473 1.3× 89 0.6× 62 1.2× 36 0.7× 83 1.8× 16 606
Van-Duc Tran Vietnam 9 436 1.2× 117 0.8× 68 1.3× 60 1.2× 34 0.7× 16 533
Di Jia China 12 380 1.0× 73 0.5× 36 0.7× 26 0.5× 67 1.5× 47 555
Jingtao Zhong China 10 435 1.2× 99 0.7× 74 1.4× 45 0.9× 49 1.1× 21 502
Kyle Dunphy Canada 7 353 0.9× 82 0.6× 62 1.2× 25 0.5× 37 0.8× 9 488

Countries citing papers authored by Mark David Jenkins

Since Specialization
Citations

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

Fields of papers citing papers by Mark David Jenkins

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mark David Jenkins. 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 Mark David Jenkins. The network helps show where Mark David Jenkins may publish in the future.

Co-authorship network of co-authors of Mark David Jenkins

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

All Works

18 of 18 papers shown
1.
Jenkins, Mark David, et al.. (2022). Weakly-Supervised Surface Crack Segmentation by Generating Pseudo-Labels Using Localization With a Classifier and Thresholding. IEEE Transactions on Intelligent Transportation Systems. 23(12). 24083–24094. 33 indexed citations
2.
Jenkins, Mark David, et al.. (2021). An Enhanced Photorealistic Immersive System using Augmented Situated Visualization within Virtual Reality. 2021 IEEE Conference on Virtual Reality and 3D User Interfaces Abstracts and Workshops (VRW). 514–515. 3 indexed citations
3.
Jenkins, Mark David, et al.. (2021). Enhanced Low-cost Web-based Virtual Tour Experience for Prospective Students. 2021 IEEE Conference on Virtual Reality and 3D User Interfaces Abstracts and Workshops (VRW). 677–678. 5 indexed citations
4.
Jenkins, Mark David, et al.. (2021). 3D visual inspection system framework for structural condition monitoring and analysis. Automation in Construction. 128. 103755–103755. 20 indexed citations
5.
Jenkins, Mark David, et al.. (2020). Optimized deep encoder-decoder methods for crack segmentation. Digital Signal Processing. 108. 102907–102907. 72 indexed citations
6.
Jenkins, Mark David, et al.. (2020). Rapid Development of a Low-cost Web-based 360 Virtual Tour. ResearchOnline (Glasgow Caledonian University). 315–322. 4 indexed citations
7.
Jenkins, Mark David, et al.. (2019). Segmentation of Surface Cracks Based on a Fully Convolutional Neural Network and Gated Scale Pooling. ResearchOnline (Glasgow Caledonian University). 1–5. 7 indexed citations
8.
Jenkins, Mark David, et al.. (2019). A Convolutional Neural Network for Pavement Surface Crack Segmentation Using Residual Connections and Attention Gating. ResearchOnline (Glasgow Caledonian University). 1460–1464. 92 indexed citations
9.
Jenkins, Mark David, et al.. (2019). Deep Complex Neural Network Learning for High-Voltage Insulation Fault Classification from Complex Bispectrum Representation. ResearchOnline (Glasgow Caledonian University). 1–5. 10 indexed citations
10.
Jenkins, Mark David, et al.. (2018). A Deep Convolutional Neural Network for Semantic Pixel-Wise Segmentation of Road and Pavement Surface Cracks. ResearchOnline. 2120–2124. 126 indexed citations
11.
Jenkins, Mark David, et al.. (2018). Road crack detection using a single stage detector based deep neural network. ResearchOnline (Glasgow Caledonian University). 1–5. 22 indexed citations
12.
Jenkins, Mark David, et al.. (2018). Deep Residual Neural Network for EMI Event Classification Using Bispectrum Representations. ResearchOnline (Glasgow Caledonian University). 186–190. 10 indexed citations
13.
Jenkins, Mark David, et al.. (2017). An imaging system for visual inspection and structural condition monitoring of railway tunnels. ResearchOnline (Glasgow Caledonian University). 19 indexed citations
14.
Jenkins, Mark David, et al.. (2016). Selective Sampling Importance Resampling Particle Filter Tracking With Multibag Subspace Restoration. IEEE Transactions on Cybernetics. 48(1). 264–276. 13 indexed citations
15.
Jenkins, Mark David, et al.. (2015). Extended fast compressive tracking with weighted multi-frame template matching for fast motion tracking. Pattern Recognition Letters. 69. 82–87. 15 indexed citations
16.
Morison, Gordon, et al.. (2014). An implementation focused approach to teaching image processing and machine vision - from theory to beagleboard. ResearchOnline (Glasgow Caledonian University). 274–277. 5 indexed citations
17.
Jenkins, Mark David, et al.. (2014). An extended Real-Time Compressive Tracking Method using weighted multi-frame Cosine Similarity Metric. ResearchOnline (Glasgow Caledonian University). 147–151. 3 indexed citations
18.
Jenkins, Mark David, et al.. (1987). Chemical composition of fresh snow on Mount Everest. Journal of Geophysical Research Atmospheres. 92(D9). 10999–11002. 33 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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