J. R. Green

32 total papers · 804 total citations
29 papers, 591 citations indexed

About

J. R. Green is a scholar working on Statistics and Probability, Genetics and Rheumatology. According to data from OpenAlex, J. R. Green has authored 29 papers receiving a total of 591 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Statistics and Probability, 6 papers in Genetics and 3 papers in Rheumatology. Recurrent topics in J. R. Green's work include Statistical Distribution Estimation and Applications (5 papers), Genetic Associations and Epidemiology (3 papers) and Statistical Methods and Inference (3 papers). J. R. Green is often cited by papers focused on Statistical Distribution Estimation and Applications (5 papers), Genetic Associations and Epidemiology (3 papers) and Statistical Methods and Inference (3 papers). J. R. Green collaborates with scholars based in United Kingdom, United States and Libya. J. R. Green's co-authors include J. C. Woodrow, Youssef A. Hegazy, Michael W. Jones, Sue Catling, Heng Chin Low, Syed Jawad Ali Shah, D M Grennan, E. J. Davies, Elaine M. Hay and Robert M. Bernstein and has published in prestigious journals such as Journal of the American Statistical Association, Technometrics and Monthly Weather Review.

In The Last Decade

J. R. Green

28 papers receiving 529 citations

Author Peers

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

Author						Papers	Cites
J. R. Green	145	119	82	81	73	29	591
Jiayi Ji	122 0.8×	109 0.9×	40 0.5×	73 0.9×	2 0.0×	42	685
Malcolm Farrow	43 0.3×	42 0.4×	13 0.2×	35 0.4×	3 0.0×	43	519
Kim M. Murray	26 0.2×	8 0.1×	53 0.6×	27 0.3×	6 0.1×	29	645
Sadao Ikeda	10 0.1×	59 0.5×	33 0.4×	294 3.6×	57 0.8×	68	617
Ahmed A. Suleiman	82 0.6×	41 0.3×	160 2.0×	78 1.0×	8 0.1×	42	553
André Happe	71 0.5×	15 0.1×	62 0.8×	95 1.2×	2 0.0×	34	516
Sabine Hoffmann	54 0.4×	35 0.3×	25 0.3×	60 0.7×		43	497
Christine Veyrat‐Follet	20 0.1×	127 1.1×	21 0.3×	67 0.8×	16 0.2×	31	667
Norbert Holländer	96 0.7×	91 0.8×	22 0.3×	46 0.6×	1 0.0×	17	673
Christine Porzelius	33 0.2×	56 0.5×	18 0.2×	66 0.8×	38 0.5×	19	509

Countries citing papers authored by J. R. Green

Since Specialization

Citations

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

Fields of papers citing papers by J. R. Green

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by J. R. Green. 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 J. R. Green. The network helps show where J. R. Green may publish in the future.

Co-authorship network of co-authors of J. R. Green

This figure shows the co-authorship network connecting the top 25 collaborators of J. R. Green. A scholar is included among the top collaborators of J. R. Green 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 J. R. Green. J. R. Green 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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