Graham Wills

51 total papers · 1.2k total citations
26 papers, 644 citations indexed

About

Graham Wills is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Signal Processing. According to data from OpenAlex, Graham Wills has authored 26 papers receiving a total of 644 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Computer Vision and Pattern Recognition, 8 papers in Artificial Intelligence and 4 papers in Signal Processing. Recurrent topics in Graham Wills's work include Data Visualization and Analytics (10 papers), Data Management and Algorithms (4 papers) and Geographic Information Systems Studies (3 papers). Graham Wills is often cited by papers focused on Data Visualization and Analytics (10 papers), Data Management and Algorithms (4 papers) and Geographic Information Systems Studies (3 papers). Graham Wills collaborates with scholars based in United States, Germany and Canada. Graham Wills's co-authors include Stephen G. Eick, John Haslett, Antony Unwin, Leland Wilkinson, Kenneth C. Cox, Ronald J. Brachman, Peter Craig, Georges Grinstein, Sharon J. Laskowski and Bernice E. Rogowitz and has published in prestigious journals such as Technometrics, European Journal of Operational Research and Journal of the American Medical Informatics Association.

In The Last Decade

Graham Wills

26 papers receiving 541 citations

Author Peers

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

Author Last Decade Papers Cites
Graham Wills 331 218 127 88 81 26 644
Mike Sips 490 1.5× 196 0.9× 199 1.6× 44 0.5× 29 0.4× 38 689
Xin Jin 226 0.7× 173 0.8× 63 0.5× 144 1.6× 62 0.8× 28 604
Kazuo Misue 513 1.5× 127 0.6× 158 1.2× 95 1.1× 70 0.9× 60 703
Yiding Liu 129 0.4× 291 1.3× 112 0.9× 353 4.0× 80 1.0× 24 652
Chris Weaver 476 1.4× 187 0.9× 156 1.2× 52 0.6× 67 0.8× 43 750
Pankaj Agarwal 244 0.7× 133 0.6× 166 1.3× 65 0.7× 81 1.0× 55 743
Nivan Ferreira 416 1.3× 95 0.4× 258 2.0× 34 0.4× 41 0.5× 27 768
Masahiro Takatsuka 330 1.0× 137 0.6× 115 0.9× 22 0.3× 29 0.4× 59 563
Gabriel Pui Cheong Fung 77 0.2× 343 1.6× 93 0.7× 121 1.4× 47 0.6× 31 602
Mohammad Ghoniem 543 1.6× 172 0.8× 104 0.8× 82 0.9× 33 0.4× 28 786

Countries citing papers authored by Graham Wills

Since Specialization
Citations

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

Fields of papers citing papers by Graham Wills

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Graham Wills

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