G. Taylor

49 total papers · 687 total citations
37 papers, 505 citations indexed

About

G. Taylor is a scholar working on Immunology, Computer Vision and Pattern Recognition and Oncology. According to data from OpenAlex, G. Taylor has authored 37 papers receiving a total of 505 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Immunology, 5 papers in Computer Vision and Pattern Recognition and 5 papers in Oncology. Recurrent topics in G. Taylor's work include VLSI and Analog Circuit Testing (3 papers), Robotics and Sensor-Based Localization (3 papers) and Allergic Rhinitis and Sensitization (3 papers). G. Taylor is often cited by papers focused on VLSI and Analog Circuit Testing (3 papers), Robotics and Sensor-Based Localization (3 papers) and Allergic Rhinitis and Sensitization (3 papers). G. Taylor collaborates with scholars based in United Kingdom, United States and Australia. G. Taylor's co-authors include Lindsay Kleeman, David L. J. Freed, Albert Diosi, N.P. Mallick, S. Kumar, K Bloor, J. K. Steward, P. H. Morris‐Jones, Ruth Williams and Dorothy Pearson and has published in prestigious journals such as The Lancet, British Journal of Cancer and International Journal of Cancer.

In The Last Decade

G. Taylor

35 papers receiving 406 citations

Author Peers

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

Author						Papers	Cites
G. Taylor	106	77	72	69	67	37	505
Sofiane Maza	51 0.5×	76 1.0×	19 0.3×	30 0.4×	58 0.9×	33	602
Yu-Xiong Wang	69 0.7×	26 0.3×	255 3.5×	51 0.7×	12 0.2×	48	543
Jiaming Lv	31 0.3×	43 0.6×	119 1.7×	84 1.2×	14 0.2×	31	495
Paul G. Gottschalk	43 0.4×	12 0.2×	131 1.8×	50 0.7×	19 0.3×	17	595
Yuan Chen	26 0.2×	36 0.5×	110 1.5×	106 1.5×	11 0.2×	51	588
A. Molino	52 0.5×	206 2.7×	35 0.5×	31 0.4×	38 0.6×	56	599
Pin Zhang	217 2.0×	7 0.1×	152 2.1×	36 0.5×	32 0.5×	31	581
Qiao Huang	29 0.3×	17 0.2×	179 2.5×	42 0.6×	9 0.1×	46	611
Qing Lv	86 0.8×	23 0.3×	46 0.6×	17 0.2×	8 0.1×	59	478
Tiantian Yan	23 0.2×	21 0.3×	186 2.6×	74 1.1×	9 0.1×	45	565

Countries citing papers authored by G. Taylor

Since Specialization

Citations

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

Fields of papers citing papers by G. Taylor

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of G. Taylor

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