Paul Hanbury

9 total papers · 1.3k total citations
7 papers, 962 citations indexed

About

Paul Hanbury is a scholar working on Molecular Biology, Health Information Management and Artificial Intelligence. According to data from OpenAlex, Paul Hanbury has authored 7 papers receiving a total of 962 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Molecular Biology, 2 papers in Health Information Management and 2 papers in Artificial Intelligence. Recurrent topics in Paul Hanbury's work include Biomedical Text Mining and Ontologies (2 papers), Electronic Health Records Systems (2 papers) and Topic Modeling (2 papers). Paul Hanbury is often cited by papers focused on Biomedical Text Mining and Ontologies (2 papers), Electronic Health Records Systems (2 papers) and Topic Modeling (2 papers). Paul Hanbury collaborates with scholars based in United States and Canada. Paul Hanbury's co-authors include Gregory F. Cooper, Wendy W. Chapman, Will Bridewell, Bruce G. Buchanan, B. G. Buchanan, Michael M. Wagner, Brian E. Chapman, Lee H. Harrison, Melissa Saul and Shyam Visweswaran and has published in prestigious journals such as Journal of the American Medical Informatics Association, Sleep Medicine and Canadian Journal of Chemistry.

In The Last Decade

Paul Hanbury

7 papers receiving 897 citations

Hit Papers

A Simple Algorithm for Id... 2001 2026 2009 2017 2001 250 500 750

Author Peers

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

Author Last Decade Papers Cites
Paul Hanbury 687 621 143 67 57 7 962
François-Michel Lang 915 1.3× 928 1.5× 99 0.7× 37 0.6× 36 0.6× 7 1.2k
Yuqi Si 550 0.8× 298 0.5× 153 1.1× 52 0.8× 72 1.3× 20 953
Yuqun Zeng 364 0.5× 468 0.8× 91 0.6× 121 1.8× 61 1.1× 21 1.2k
Louise Deléger 523 0.8× 429 0.7× 114 0.8× 28 0.4× 36 0.6× 46 842
Chaitanya Shivade 587 0.9× 298 0.5× 141 1.0× 77 1.1× 42 0.7× 20 811
Amber Stubbs 823 1.2× 474 0.8× 163 1.1× 18 0.3× 23 0.4× 19 968
William Boag 706 1.0× 300 0.5× 91 0.6× 45 0.7× 80 1.4× 12 857
Son Doan 484 0.7× 479 0.8× 127 0.9× 202 3.0× 21 0.4× 34 1.0k
Sungrim Moon 752 1.1× 532 0.9× 215 1.5× 75 1.1× 91 1.6× 48 1.2k
Bethany Percha 209 0.3× 396 0.6× 42 0.3× 60 0.9× 57 1.0× 25 938

Countries citing papers authored by Paul Hanbury

Since Specialization
Citations

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

Fields of papers citing papers by Paul Hanbury

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Paul Hanbury

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