Rahul Summan

658 total citations
34 papers, 504 citations indexed

About

Rahul Summan is a scholar working on Aerospace Engineering, Computer Vision and Pattern Recognition and Mechanical Engineering. According to data from OpenAlex, Rahul Summan has authored 34 papers receiving a total of 504 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Aerospace Engineering, 14 papers in Computer Vision and Pattern Recognition and 12 papers in Mechanical Engineering. Recurrent topics in Rahul Summan's work include Robotics and Sensor-Based Localization (19 papers), 3D Surveying and Cultural Heritage (9 papers) and Optical measurement and interference techniques (7 papers). Rahul Summan is often cited by papers focused on Robotics and Sensor-Based Localization (19 papers), 3D Surveying and Cultural Heritage (9 papers) and Optical measurement and interference techniques (7 papers). Rahul Summan collaborates with scholars based in United Kingdom, Austria and France. Rahul Summan's co-authors include Gareth Pierce, Gordon Dobie, Charles MacLeod, Carmelo Mineo, Maxim Morozov, Simon Whiteley, Joseph C. Jackson, G. Hayward, David J. Watson and Malcolm Macdonald and has published in prestigious journals such as Mechanical Systems and Signal Processing, IEEE Sensors Journal and IEEE Transactions on Ultrasonics Ferroelectrics and Frequency Control.

In The Last Decade

Rahul Summan

33 papers receiving 488 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Rahul Summan United Kingdom 12 179 132 132 121 89 34 504
Chaoquan Tang China 12 218 1.2× 76 0.6× 58 0.4× 149 1.2× 36 0.4× 47 538
Jarosław Szrek Poland 10 213 1.2× 83 0.6× 36 0.3× 89 0.7× 42 0.5× 30 436
Guangming Zhang China 16 233 1.3× 147 1.1× 343 2.6× 50 0.4× 25 0.3× 94 754
Ty A. Lasky United States 17 359 2.0× 79 0.6× 30 0.2× 130 1.1× 68 0.8× 64 940
Anhua Chen China 14 322 1.8× 50 0.4× 76 0.6× 51 0.4× 40 0.4× 44 608
Fei Fan China 12 179 1.0× 86 0.7× 22 0.2× 151 1.2× 28 0.3× 27 469
Luofeng Xie China 13 237 1.3× 95 0.7× 55 0.4× 39 0.3× 29 0.3× 34 489
Qiushi Bi China 12 205 1.1× 87 0.7× 35 0.3× 52 0.4× 58 0.7× 29 422
Fengshui Jing China 17 401 2.2× 320 2.4× 39 0.3× 141 1.2× 94 1.1× 60 800

Countries citing papers authored by Rahul Summan

Since Specialization
Citations

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

Fields of papers citing papers by Rahul Summan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Rahul Summan

This figure shows the co-authorship network connecting the top 25 collaborators of Rahul Summan. A scholar is included among the top collaborators of Rahul Summan 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 Rahul Summan. Rahul Summan 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.
Mineo, Carmelo, Gareth Pierce, & Rahul Summan. (2018). Novel algorithms for 3D surface point cloud boundary detection and edge reconstruction. Journal of Computational Design and Engineering. 6(1). 81–91. 67 indexed citations
2.
Morozov, Maxim, Gareth Pierce, Charles MacLeod, Carmelo Mineo, & Rahul Summan. (2018). Off-line scan path planning for robotic NDT. Measurement. 122. 284–290. 44 indexed citations
3.
Summan, Rahul, William E. Jackson, Gordon Dobie, et al.. (2018). A novel visual pipework inspection system. AIP conference proceedings. 1949. 220001–220001. 5 indexed citations
4.
MacLeod, Charles, et al.. (2018). Bipartite Guidance, Navigation and Control Architecture for Autonomous Aerial Inspections Under Safety Constraints. Journal of Intelligent & Robotic Systems. 95(3-4). 1049–1061. 4 indexed citations
5.
Mineo, Carmelo, Charles MacLeod, Maxim Morozov, et al.. (2017). Flexible integration of robotics, ultrasonics and metrology for the inspection of aerospace components. AIP conference proceedings. 1806. 20026–20026. 33 indexed citations
6.
Summan, Rahul, Gordon Dobie, Graeme West, et al.. (2017). The Influence of the Spatial Distribution of 2-D Features on Pose Estimation for a Visual Pipe Mapping Sensor. IEEE Sensors Journal. 17(19). 6312–6321. 9 indexed citations
7.
Mineo, Carmelo, et al.. (2017). Introducing a new method for efficient visualization of complex shape 3D ultrasonic phased-array C-scans. 2017 IEEE International Ultrasonics Symposium (IUS). 1–1. 4 indexed citations
8.
Summan, Rahul, Gordon Dobie, Graeme West, et al.. (2016). Mosaicing for automated pipe scanning. Strathprints: The University of Strathclyde institutional repository (University of Strathclyde).
9.
MacLeod, Charles, Rahul Summan, Gordon Dobie, & Gareth Pierce. (2016). Quantifying and Improving Laser Range Data When Scanning Industrial Materials. IEEE Sensors Journal. 16(22). 7999–8009. 11 indexed citations
10.
Morozov, Maxim, et al.. (2016). Assessing the accuracy of industrial robots through metrology for the enhancement of automated non-destructive testing. Strathprints: The University of Strathclyde institutional repository (University of Strathclyde). 335–340. 11 indexed citations
11.
Mineo, Carmelo, Charles MacLeod, Maxim Morozov, et al.. (2016). Fast ultrasonic phased array inspection of complex geometries delivered through robotic manipulators and high speed data acquisition instrumentation. Strathprints: The University of Strathclyde institutional repository (University of Strathclyde). 1–4. 24 indexed citations
12.
Summan, Rahul, Gordon Dobie, Charles MacLeod, et al.. (2015). Image mosaicing for automated pipe scanning. AIP conference proceedings. 1650. 1334–1342. 4 indexed citations
13.
Dobie, Gordon, Charles MacLeod, Rahul Summan, et al.. (2015). 3D model generation using an airborne swarm. AIP conference proceedings. 1650. 1460–1467. 1 indexed citations
14.
Dobie, Gordon, et al.. (2014). An automated miniature robotic vehicle inspection system. AIP conference proceedings. 1881–1888. 3 indexed citations
15.
Summan, Rahul, Gareth Pierce, Gordon Dobie, James Hensman, & Charles MacLeod. (2013). Practical constraints on real time Bayesian filtering for NDE applications. Mechanical Systems and Signal Processing. 42(1-2). 181–193. 8 indexed citations
16.
MacLeod, Charles, et al.. (2013). Active Whisking-Based Remotely Deployable NDE Sensor. IEEE Sensors Journal. 13(11). 4320–4328. 3 indexed citations
17.
Jackson, Joseph C., et al.. (2013). Time-of-flight measurement techniques for airborne ultrasonic ranging. IEEE Transactions on Ultrasonics Ferroelectrics and Frequency Control. 60(2). 343–355. 80 indexed citations
18.
Dobie, Gordon, et al.. (2013). Automatic ultrasonic robotic array. 119. 1861–1864. 4 indexed citations
19.
Pierce, Gareth, Gordon Dobie, Rahul Summan, & Charles MacLeod. (2012). Reconfigurable robotic platforms for structural non-destructive evaluation. Strathprints: The University of Strathclyde institutional repository (University of Strathclyde). 1 indexed citations
20.
Summan, Rahul, Gordon Dobie, James Hensman, et al.. (2010). A PROBABILISTIC APPROACH TO ROBOTIC NDE INSPECTION. AIP conference proceedings. 1999–2006. 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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