Phil Davies

33 total papers · 778 total citations
26 papers, 554 citations indexed

About

Phil Davies is a scholar working on Education, Information Systems and Rehabilitation. According to data from OpenAlex, Phil Davies has authored 26 papers receiving a total of 554 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Education, 8 papers in Information Systems and 7 papers in Rehabilitation. Recurrent topics in Phil Davies's work include Student Assessment and Feedback (11 papers), Educational Technology and Assessment (8 papers) and Wound Healing and Treatments (7 papers). Phil Davies is often cited by papers focused on Student Assessment and Feedback (11 papers), Educational Technology and Assessment (8 papers) and Wound Healing and Treatments (7 papers). Phil Davies collaborates with scholars based in United Kingdom, United States and Belgium. Phil Davies's co-authors include Mark G Rippon, Richard White, Sara McCarty, Ian Robertson, James L. Massey, Nick Heather, John Stephenson, Nick Bosanquet, Carina Majaesic and Arzu Ari and has published in prestigious journals such as Contemporary Sociology A Journal of Reviews, The British Journal of Psychiatry and Assessment & Evaluation in Higher Education.

In The Last Decade

Phil Davies

25 papers receiving 472 citations

Author Peers

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

Author Last Decade Papers Cites
Phil Davies 281 106 88 78 64 26 554
Tim Brandys 83 0.3× 52 0.5× 97 1.1× 279 3.6× 26 0.4× 38 645
Paulo Machado 134 0.5× 38 0.4× 17 0.2× 48 0.6× 49 0.8× 34 633
Fiona Collins 193 0.7× 58 0.5× 78 0.9× 35 0.4× 34 0.5× 64 549
Fred Englander 78 0.3× 45 0.4× 22 0.3× 35 0.4× 16 0.3× 22 599
Margaret Milner 149 0.5× 44 0.4× 19 0.2× 18 0.2× 16 0.3× 19 550
Max Smith 272 1.0× 51 0.5× 60 0.7× 9 0.1× 28 0.4× 20 580
Rüstem Mustafaoğlu 161 0.6× 110 1.0× 28 0.3× 110 1.4× 25 0.4× 44 653
Ida Marais 127 0.5× 16 0.2× 50 0.6× 21 0.3× 17 0.3× 34 698
Claudia Smarkola 199 0.7× 14 0.1× 42 0.5× 62 0.8× 99 1.5× 8 517
Janice Miller‐Young 184 0.7× 29 0.3× 31 0.4× 25 0.3× 5 0.1× 36 502

Countries citing papers authored by Phil Davies

Since Specialization
Citations

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

Fields of papers citing papers by Phil Davies

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Phil Davies

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