Jack G. Williams

798 total citations
18 papers, 539 citations indexed

About

Jack G. Williams is a scholar working on Management, Monitoring, Policy and Law, Environmental Engineering and Geology. According to data from OpenAlex, Jack G. Williams has authored 18 papers receiving a total of 539 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Management, Monitoring, Policy and Law, 7 papers in Environmental Engineering and 6 papers in Geology. Recurrent topics in Jack G. Williams's work include Landslides and related hazards (10 papers), Remote Sensing and LiDAR Applications (7 papers) and 3D Surveying and Cultural Heritage (6 papers). Jack G. Williams is often cited by papers focused on Landslides and related hazards (10 papers), Remote Sensing and LiDAR Applications (7 papers) and 3D Surveying and Cultural Heritage (6 papers). Jack G. Williams collaborates with scholars based in United Kingdom, Germany and Austria. Jack G. Williams's co-authors include Nick Rosser, R. J. Hardy, Matthew J. Brain, A. Afana, Bernhard Höfle, Tom Robinson, Alexander L. Densmore, Katharina Anders, Mark Kincey and G. Ricker and has published in prestigious journals such as ISPRS Journal of Photogrammetry and Remote Sensing, IEEE Transactions on Aerospace and Electronic Systems and Natural hazards and earth system sciences.

In The Last Decade

Jack G. Williams

18 papers receiving 528 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jack G. Williams United Kingdom 11 307 191 169 149 136 18 539
Guglielmo Rossi Italy 12 630 2.1× 203 1.1× 170 1.0× 253 1.7× 254 1.9× 25 902
Aggeliki Kyriou Greece 12 204 0.7× 169 0.9× 153 0.9× 80 0.5× 81 0.6× 46 463
Yuanzhen Ju China 13 424 1.4× 93 0.5× 51 0.3× 105 0.7× 173 1.3× 18 585
Misganu Debella-Gilo Norway 9 131 0.4× 192 1.0× 50 0.3× 95 0.6× 199 1.5× 22 629
Sabrina Rothmund Germany 7 350 1.1× 453 2.4× 416 2.5× 95 0.6× 100 0.7× 11 821
Gianluca Marcato Italy 16 502 1.6× 74 0.4× 63 0.4× 106 0.7× 172 1.3× 56 747
Matteo Mantovani Italy 15 444 1.4× 92 0.5× 115 0.7× 109 0.7× 243 1.8× 33 703
Luca Nannipieri Italy 13 150 0.5× 157 0.8× 158 0.9× 88 0.6× 155 1.1× 30 637
R. Genevois Italy 14 778 2.5× 184 1.0× 167 1.0× 284 1.9× 214 1.6× 37 988
Hiroyuki Obanawa Japan 10 137 0.4× 179 0.9× 157 0.9× 57 0.4× 76 0.6× 27 375

Countries citing papers authored by Jack G. Williams

Since Specialization
Citations

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

Fields of papers citing papers by Jack G. Williams

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jack G. Williams. 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 Jack G. Williams. The network helps show where Jack G. Williams may publish in the future.

Co-authorship network of co-authors of Jack G. Williams

This figure shows the co-authorship network connecting the top 25 collaborators of Jack G. Williams. A scholar is included among the top collaborators of Jack G. Williams 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 Jack G. Williams. Jack G. Williams 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.
Williams, Jack G., et al.. (2021). Measurement of rock glacier surface change over different timescales using terrestrial laser scanning point clouds. Earth Surface Dynamics. 9(1). 19–28. 19 indexed citations
2.
Winiwarter, Lukas, et al.. (2021). Correspondence-driven plane-based M3C2 for lower uncertainty in 3D topographic change quantification. ISPRS Journal of Photogrammetry and Remote Sensing. 183. 541–559. 34 indexed citations
3.
Kincey, Mark, Nick Rosser, Tom Robinson, et al.. (2021). Evolution of Coseismic and Post‐seismic Landsliding After the 2015 Mw 7.8 Gorkha Earthquake, Nepal. Journal of Geophysical Research Earth Surface. 126(3). 40 indexed citations
4.
Winiwarter, Lukas, et al.. (2020). Use of TanDEM-X and Sentinel Products to Derive Gully Activity Maps in Kunene Region (Namibia) Based on Automatic Iterative Random Forest Approach. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 14. 607–623. 10 indexed citations
5.
Williams, Jack G., et al.. (2020). Nuclear Blast Discrimination using a Convolutional Neural Network. AGU Fall Meeting Abstracts. 2020. 1 indexed citations
6.
Williams, Jack G., et al.. (2020). Multi-directional change detection between point clouds. ISPRS Journal of Photogrammetry and Remote Sensing. 172. 95–113. 24 indexed citations
7.
Hämmerle, Martin, Katharina Anders, Rudolf Sailer, et al.. (2019). Multi‐temporal 3D point cloud‐based quantification and analysis of geomorphological activity at an alpine rock glacier using airborne and terrestrial LiDAR. Permafrost and Periglacial Processes. 30(3). 222–238. 20 indexed citations
8.
Williams, Jack G., Nick Rosser, R. J. Hardy, & Matthew J. Brain. (2019). The Importance of Monitoring Interval for Rockfall Magnitude‐Frequency Estimation. Journal of Geophysical Research Earth Surface. 124(12). 2841–2853. 61 indexed citations
9.
Anders, Katharina, et al.. (2019). 4D objects-by-change: Spatiotemporal segmentation of geomorphic surface change from LiDAR time series. ISPRS Journal of Photogrammetry and Remote Sensing. 159. 352–363. 27 indexed citations
10.
Williams, Jack G., Nick Rosser, R. J. Hardy, Matthew J. Brain, & A. Afana. (2018). Optimising 4-D surface change detection: an approach for capturing rockfall magnitude–frequency. Earth Surface Dynamics. 6(1). 101–119. 115 indexed citations
11.
Williams, Jack G., Nick Rosser, Mark Kincey, et al.. (2018). Satellite-based emergency mapping using optical imagery: experience and reflections from the 2015 Nepal earthquakes. Natural hazards and earth system sciences. 18(1). 185–205. 59 indexed citations
12.
Williams, Jack G., Nick Rosser, R. J. Hardy, Matthew J. Brain, & A. Afana. (2017). Optimising 4D Approaches to Surface Change Detection: Improving Understanding of Rockfall Magnitude-Frequency. 10 indexed citations
13.
Robinson, Tom, Nick Rosser, Alexander L. Densmore, et al.. (2017). Rapid post-earthquake modelling of coseismic landslide intensity and distribution for emergency response decision support. Natural hazards and earth system sciences. 17(9). 1521–1540. 65 indexed citations
14.
Williams, Jack G., Nick Rosser, Mark Kincey, et al.. (2017). Satellite-based emergency mapping: Landslides triggered by the 2015 Nepal earthquake. Newcastle University ePrints (Newcastle Univesity). 9 indexed citations
15.
Afana, A., Graham Hunter, John Davis, et al.. (2013). Integration of full waveform terrestrial laser scanners into a slope monitoring system. 897–909. 1 indexed citations
16.
Williams, Jack G., Nick Rosser, A. Afana, Graham Hunter, & R. J. Hardy. (2013). Can full waveform technology enhance the use of terrestrial laser scanning to monitor rock slope deformation?. 763–774. 1 indexed citations
17.
Ricker, G. & Jack G. Williams. (1978). Adaptive Tracking Filter for Maneuvering Targets. IEEE Transactions on Aerospace and Electronic Systems. AES-14(1). 185–193. 42 indexed citations
18.
Helin, E. F., et al.. (1976). 1976 AA (Fast-Moving Object Helin). International Astronomical Union Circular. 2901. 1. 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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