Gordon Dobie

1.4k total citations
110 papers, 979 citations indexed

About

Gordon Dobie is a scholar working on Mechanical Engineering, Aerospace Engineering and Civil and Structural Engineering. According to data from OpenAlex, Gordon Dobie has authored 110 papers receiving a total of 979 indexed citations (citations by other indexed papers that have themselves been cited), including 48 papers in Mechanical Engineering, 36 papers in Aerospace Engineering and 24 papers in Civil and Structural Engineering. Recurrent topics in Gordon Dobie's work include Non-Destructive Testing Techniques (32 papers), Robotics and Sensor-Based Localization (32 papers) and Ultrasonics and Acoustic Wave Propagation (22 papers). Gordon Dobie is often cited by papers focused on Non-Destructive Testing Techniques (32 papers), Robotics and Sensor-Based Localization (32 papers) and Ultrasonics and Acoustic Wave Propagation (22 papers). Gordon Dobie collaborates with scholars based in United Kingdom, Switzerland and Austria. Gordon Dobie's co-authors include Gareth Pierce, Charles MacLeod, Rahul Summan, G. Hayward, Robert Watson, Anthony Gachagan, Graeme West, Carmelo Mineo, Simon Whiteley and Joseph C. Jackson and has published in prestigious journals such as SHILAP Revista de lepidopterología, Sensors and Journal of Sound and Vibration.

In The Last Decade

Gordon Dobie

100 papers receiving 947 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Gordon Dobie United Kingdom	18	349	277	210	192	185	110	979
Carmelo Mineo United Kingdom	20	569 1.6×	370 1.3×	105 0.5×	147 0.8×	157 0.8×	62	1.0k
Tariq Sattar United Kingdom	15	251 0.7×	124 0.4×	158 0.8×	136 0.7×	108 0.6×	75	956
Shanyue Guan China	14	159 0.5×	134 0.5×	140 0.7×	137 0.7×	206 1.1×	38	704
Wenzhuo Li China	15	260 0.7×	251 0.9×	136 0.6×	245 1.3×	103 0.6×	55	1.3k
Aparna Akula India	14	207 0.6×	217 0.8×	123 0.6×	173 0.9×	235 1.3×	34	910
Hamad Karki United States	14	318 0.9×	64 0.2×	189 0.9×	127 0.7×	187 1.0×	56	997
Jie Shen China	20	282 0.8×	117 0.4×	66 0.3×	203 1.1×	155 0.8×	148	1.3k
Hang Wu China	16	237 0.7×	125 0.5×	172 0.8×	134 0.7×	90 0.5×	42	790
Zechao Wang China	13	255 0.7×	242 0.9×	70 0.3×	301 1.6×	112 0.6×	26	995

Countries citing papers authored by Gordon Dobie

Since Specialization

Citations

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

Fields of papers citing papers by Gordon Dobie

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gordon Dobie

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

All Works

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20 of 20 papers shown

Mohseni, Ehsan, Gareth Pierce, Randika K.W. Vithanage, et al.. (2025). Human-machine collaborative automation strategies for ultrasonic phased array data analysis of carbon fibre reinforced plastics. NDT & E International. 154. 103392–103392. 3 indexed citations

McAlorum, Jack, et al.. (2025). Directional Lighting-Based Deep Learning Models for Crack and Spalling Classification. Journal of Imaging. 11(9). 288–288. 1 indexed citations

Dobie, Gordon, et al.. (2024). Analysis of neural networks for routine classification of sixteen ultrasound upper abdominal cross sections. Abdominal Radiology. 49(2). 651–661. 4 indexed citations

Dobie, Gordon, et al.. (2024). Using positional tracking to improve abdominal ultrasound machine learning classification. Machine Learning Science and Technology. 5(2). 25002–25002.

Mohseni, Ehsan, Gareth Pierce, Randika K.W. Vithanage, et al.. (2024). Unsupervised machine learning for flaw detection in automated ultrasonic testing of carbon fibre reinforced plastic composites. Ultrasonics. 140. 107313–107313. 21 indexed citations

Watson, Robert, et al.. (2024). A Pulsed Eddy Current Sensor for UAV Deployed Pipe Thickness Measurement. IEEE Sensors Journal. 24(20). 33326–33335.

McAlorum, Jack, et al.. (2023). Automated Concrete Crack Inspection With Directional Lighting Platform. IEEE Sensors Letters. 7(11). 1–4. 4 indexed citations

Perry, Marcus, et al.. (2023). Threshold-Based BRISQUE-Assisted Deep Learning for Enhancing Crack Detection in Concrete Structures. Journal of Imaging. 9(10). 218–218. 9 indexed citations

Perry, Marcus, et al.. (2023). Skeleton-based noise removal algorithm for binary concrete crack image segmentation. Automation in Construction. 151. 104867–104867. 17 indexed citations

10.

Jackson, William E., et al.. (2023). Robotic Positioning for Quality Assurance of Feature-Sparse Components Using a Depth-Sensing Camera. IEEE Sensors Journal. 23(9). 10032–10040. 6 indexed citations

11.

Tabatabaeipour, Morteza, et al.. (2023). Design and Manufacture of an Optimised Side-Shifted PPM EMAT Array for Use in Mobile Robotic Localisation. Sensors. 23(4). 2012–2012. 4 indexed citations

12.

Tabatabaeipour, Morteza, et al.. (2023). A shear horizontal phased array steering excitation technique for remnant wall thickness quantification. Ultrasonics. 136. 107142–107142. 1 indexed citations

13.

Dobie, Gordon, et al.. (2023). Phantom Study of Arterial Localization using Tactile Sensor Array and a Normal Vs. Shear Pulse Pressure Propagation Method. PubMed. 17. 1–4. 1 indexed citations

14.

Tabatabaeipour, Morteza, Gordon Dobie, R. S. Edwards, et al.. (2021). Application of ultrasonic guided waves to robotic occupancy grid mapping. Mechanical Systems and Signal Processing. 163. 108151–108151. 21 indexed citations

15.

Dobie, Gordon, et al.. (2020). Determining Position and Orientation of a 3-Wheel Robot on a Pipe Using an Accelerometer. IEEE Sensors Journal. 20(9). 5061–5071. 13 indexed citations

16.

Tabatabaeipour, Morteza, Steve Dixon, M. D. G. Potter, et al.. (2020). Miniaturised SH EMATs for Fast Robotic Screening of Wall Thinning in Steel Plates. IEEE Sensors Journal. 21(2). 1386–1394. 20 indexed citations

17.

Jackson, William E., et al.. (2019). Error Analysis and Calibration for a Novel Pipe Profiling Tool. IEEE Sensors Journal. 20(7). 3545–3555. 13 indexed citations

18.

Mineo, Carmelo, et al.. (2019). Introducing adaptive vision-guided robotic non-destructive inspection. 2 indexed citations

19.

Das, B.N., Gordon Dobie, & Gareth Pierce. (2018). State estimation of delays in telepresence robot navigation using Bayesian approaches. Strathprints: The University of Strathclyde institutional repository (University of Strathclyde). 1 indexed citations

20.

Watson, Robert, et al.. (2018). Autonomous Ultrasonic Inspection Using Unmanned Aerial Vehicle. 1–4. 24 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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