Jack G. Williams

35 total papers · 789 total citations
18 papers, 538 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 538 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 Russia. Jack G. Williams's co-authors include Nick Rosser, R. J. Hardy, Matthew J. Brain, A. Afana, Bernhard Höfle, G. Ricker, Tom Robinson, Mark Kincey, Alexander L. Densmore and Katharina Anders and has published in prestigious journals such as ISPRS Journal of Photogrammetry and Remote Sensing, IEEE Transactions on Aerospace and Electronic Systems and IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.

In The Last Decade

Jack G. Williams

18 papers receiving 528 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Jack G. Williams 307 191 168 149 136 18 538
Giuseppe Esposito 270 0.9× 162 0.8× 171 1.0× 196 1.3× 116 0.9× 42 565
Pietro Vannocci 414 1.3× 123 0.6× 110 0.7× 109 0.7× 113 0.8× 17 587
Jaume Calvet 278 0.9× 206 1.1× 201 1.2× 58 0.4× 192 1.4× 21 529
Yuanzhen Ju 418 1.4× 91 0.5× 50 0.3× 104 0.7× 173 1.3× 18 577
Aggeliki Kyriou 204 0.7× 169 0.9× 153 0.9× 79 0.5× 80 0.6× 46 458
Michal Gallay 83 0.3× 294 1.5× 189 1.1× 95 0.6× 88 0.6× 36 515
Tomaž Podobnikar 101 0.3× 242 1.3× 68 0.4× 141 0.9× 72 0.5× 37 603
Mohammed Oludare Idrees 115 0.4× 207 1.1× 73 0.4× 222 1.5× 81 0.6× 36 564
Stella Belliss 114 0.4× 167 0.9× 40 0.2× 197 1.3× 150 1.1× 26 591
Kamila Pawłuszek-Filipiak 303 1.0× 100 0.5× 39 0.2× 160 1.1× 118 0.9× 30 547

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

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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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