Martin Kay

19 total papers · 413 total citations
8 papers, 178 citations indexed

About

Martin Kay is a scholar working on General Health Professions, Computer Vision and Pattern Recognition and Health, Toxicology and Mutagenesis. According to data from OpenAlex, Martin Kay has authored 8 papers receiving a total of 178 indexed citations (citations by other indexed papers that have themselves been cited), including 1 paper in General Health Professions, 1 paper in Computer Vision and Pattern Recognition and 1 paper in Health, Toxicology and Mutagenesis. Recurrent topics in Martin Kay's work include Optical measurement and interference techniques (1 paper), Heavy Metal Exposure and Toxicity (1 paper) and Image Processing Techniques and Applications (1 paper). Martin Kay is often cited by papers focused on Optical measurement and interference techniques (1 paper), Heavy Metal Exposure and Toxicity (1 paper) and Image Processing Techniques and Applications (1 paper). Martin Kay collaborates with scholars based in United States and United Kingdom. Martin Kay's co-authors include Barbara Voorhies, Katherine M. Davis, Olga Antipova, Brendan Sullivan, Yulia Pushkar, Robin J. Goodfellow, Rhodri Cusack, Matthew Brett and Patricia Connolly and has published in prestigious journals such as NeuroImage, Redox Biology and Dove Medical Press (Taylor and Francis Group).

In The Last Decade

Martin Kay

8 papers receiving 152 citations

Author Peers

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

Author						Papers	Cites
Martin Kay	45	36	26	25	23	8	178
M. Roach	41 0.9×	52 1.4×	3 0.1×	18 0.7×	24 1.0×	11	236
Florence Abena Dolphyne	41 0.9×	51 1.4×	22 0.8×	30 1.2×	2 0.1×	7	191
Reay Tannahill	50 1.1×	19 0.5×	2 0.1×	19 0.8×	16 0.7×	5	255
Teresa Bridgeman	59 1.3×	40 1.1×	12 0.5×	9 0.4×		10	232
Murray Melbin	93 2.1×	16 0.4×	4 0.2×	15 0.6×		6	268
G. Bernard Hughes	25 0.6×	26 0.7×	32 1.2×	20 0.8×		10	221
Seán Burke	60 1.3×	22 0.6×	8 0.3×	9 0.4×		9	219
Michael Gorman	35 0.8×	17 0.5×	14 0.5×	6 0.2×		11	194
Lynne Tirrell	69 1.5×	44 1.2×	37 1.4×	12 0.5×		16	220
Geoffrey Lewis	53 1.2×	10 0.3×	14 0.5×	13 0.5×		8	174

Countries citing papers authored by Martin Kay

Since Specialization

Citations

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

Fields of papers citing papers by Martin Kay

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Martin Kay

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