Damian Green

37 total papers · 833 total citations
20 papers, 565 citations indexed

About

Damian Green is a scholar working on Computer Vision and Pattern Recognition, Geology and Public Health, Environmental and Occupational Health. According to data from OpenAlex, Damian Green has authored 20 papers receiving a total of 565 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Computer Vision and Pattern Recognition, 5 papers in Geology and 4 papers in Public Health, Environmental and Occupational Health. Recurrent topics in Damian Green's work include Image Processing and 3D Reconstruction (5 papers), 3D Surveying and Cultural Heritage (5 papers) and Telemedicine and Telehealth Implementation (4 papers). Damian Green is often cited by papers focused on Image Processing and 3D Reconstruction (5 papers), 3D Surveying and Cultural Heritage (5 papers) and Telemedicine and Telehealth Implementation (4 papers). Damian Green collaborates with scholars based in United Kingdom, Australia and United States. Damian Green's co-authors include Paul M. Salmon, Neville A. Stanton, Guy H. Walker, Chris Baber, Huw Gibson, Brett A. Neilan, Greg Smith, Lee Bowling, Mark S. Freedman and Ǵerald Babcock and has published in prestigious journals such as Brain Research, Journal of Medical Internet Research and BMC Health Services Research.

In The Last Decade

Damian Green

19 papers receiving 527 citations

Author Peers

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

Author Last Decade Papers Cites
Damian Green 286 145 60 60 44 20 565
Mahmoud Habibnezhad 140 0.5× 212 1.5× 24 0.4× 25 0.4× 68 1.5× 21 679
Steven Mallam 249 0.9× 71 0.5× 82 1.4× 60 1.0× 22 0.5× 50 597
Pengcheng Li 170 0.6× 264 1.8× 305 5.1× 31 0.5× 60 1.4× 49 695
Youjin Jang 83 0.3× 66 0.5× 17 0.3× 33 0.6× 20 0.5× 34 522
Christoph Thieme 118 0.4× 98 0.7× 252 4.2× 18 0.3× 48 1.1× 26 560
Ricardo Eiris 199 0.7× 245 1.7× 46 0.8× 151 2.5× 15 0.3× 39 662
Feng Xu 49 0.2× 166 1.1× 72 1.2× 20 0.3× 12 0.3× 48 503
Masha Maltz 400 1.4× 51 0.4× 21 0.3× 59 1.0× 37 0.8× 17 603
Runhe Zhu 124 0.4× 123 0.8× 98 1.6× 30 0.5× 26 0.6× 17 580
David Meister 233 0.8× 135 0.9× 69 1.1× 16 0.3× 32 0.7× 24 679

Countries citing papers authored by Damian Green

Since Specialization
Citations

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

Fields of papers citing papers by Damian Green

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Damian Green

This figure shows the co-authorship network connecting the top 25 collaborators of Damian Green. A scholar is included among the top collaborators of Damian Green 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 Damian Green. Damian Green 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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