Francis McKay

20 total papers · 583 total citations
11 papers, 107 citations indexed

About

Francis McKay is a scholar working on Health Informatics, Public Health, Environmental and Occupational Health and Safety Research. According to data from OpenAlex, Francis McKay has authored 11 papers receiving a total of 107 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Health Informatics, 3 papers in Public Health, Environmental and Occupational Health and 3 papers in Safety Research. Recurrent topics in Francis McKay's work include Artificial Intelligence in Healthcare and Education (7 papers), Biomedical Ethics and Regulation (3 papers) and Ethics and Social Impacts of AI (3 papers). Francis McKay is often cited by papers focused on Artificial Intelligence in Healthcare and Education (7 papers), Biomedical Ethics and Regulation (3 papers) and Ethics and Social Impacts of AI (3 papers). Francis McKay collaborates with scholars based in United Kingdom, Sweden and United States. Francis McKay's co-authors include Nina Hallowell, Darren Treanor, Bethany Williams, Graham Prestwich, Angeliki Kerasidou, Christoffer Nellåker, Richard Colling, Philip S. Macklin, Tom Sorell and Clare Verrill and has published in prestigious journals such as SHILAP Revista de lepidopterología, BMC Medical Ethics and Ethos.

In The Last Decade

Francis McKay

11 papers receiving 102 citations

Author Peers

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

Author						Papers	Cites
Francis McKay	48	43	34	19	12	11	107
Resha Tejpaul	24 0.5×	40 0.9×	32 0.9×	25 1.3×	16 1.3×	14	164
Sonish Sivarajkumar	84 1.8×	67 1.6×	29 0.9×	23 1.2×	4 0.3×	14	252
Zongming Zhang	50 1.0×	118 2.7×	62 1.8×	42 2.2×	19 1.6×	15	234
Suraj Rajendran	102 2.1×	39 0.9×	20 0.6×	46 2.4×	4 0.3×	18	224
Isabel Straw	52 1.1×	69 1.6×	25 0.7×	31 1.6×	9 0.8×	17	214
Eileen Koski	45 0.9×	74 1.7×	20 0.6×	50 2.6×	19 1.6×	17	232
Melanie F. Pradier	89 1.9×	57 1.3×	22 0.6×	12 0.6×	32 2.7×	11	218
Isabella C. Wiest	115 2.4×	130 3.0×	70 2.1×	17 0.9×	3 0.3×	23	263
Eva Weicken	63 1.3×	75 1.7×	46 1.4×	21 1.1×	12 1.0×	6	158
Paul Blake	29 0.6×	38 0.9×	61 1.8×	23 1.2×	17 1.4×	13	166

Countries citing papers authored by Francis McKay

Since Specialization

Citations

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

Fields of papers citing papers by Francis McKay

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Francis McKay

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