Jonathan R. Bradley

94 total papers · 601 total citations
35 papers, 325 citations indexed

About

Jonathan R. Bradley is a scholar working on Economics and Econometrics, Statistics and Probability and Environmental Engineering. According to data from OpenAlex, Jonathan R. Bradley has authored 35 papers receiving a total of 325 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Economics and Econometrics, 20 papers in Statistics and Probability and 15 papers in Environmental Engineering. Recurrent topics in Jonathan R. Bradley's work include Spatial and Panel Data Analysis (19 papers), Statistical Methods and Bayesian Inference (16 papers) and Soil Geostatistics and Mapping (15 papers). Jonathan R. Bradley is often cited by papers focused on Spatial and Panel Data Analysis (19 papers), Statistical Methods and Bayesian Inference (16 papers) and Soil Geostatistics and Mapping (15 papers). Jonathan R. Bradley collaborates with scholars based in United States, Australia and Canada. Jonathan R. Bradley's co-authors include Scott H. Holan, Christopher K. Wikle, Tao Shi, Noel Cressie, Guanyu Hu, Lang Wu, David L. Farnsworth, Chong Wu, Kai Qu and Apurva A. Desai and has published in prestigious journals such as Nature Communications, Journal of the American Statistical Association and Bioinformatics.

In The Last Decade

Jonathan R. Bradley

29 papers receiving 313 citations

Author Peers

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

Author						Papers	Cites
Jonathan R. Bradley	130	125	116	88	43	35	325
Ya‐Mei Chang	86 0.7×	65 0.5×	31 0.3×	30 0.3×	38 0.9×	19	332
Zhuoqiong He	103 0.8×	110 0.9×	30 0.3×	28 0.3×	27 0.6×	20	326
Ronny Vallejos	102 0.8×	45 0.4×	103 0.9×	23 0.3×	8 0.2×	37	340
C. Comas	92 0.7×	57 0.5×	101 0.9×	33 0.4×	15 0.3×	15	269
Pablo Gregori	66 0.5×	35 0.3×	119 1.0×	46 0.5×	11 0.3×	29	355
Luca Pratelli	36 0.3×	143 1.1×	42 0.4×	143 1.6×	10 0.2×	60	356
Yawen Guan	67 0.5×	43 0.3×	102 0.9×	28 0.3×	8 0.2×	27	329
Thomas Nagler	56 0.4×	74 0.6×	35 0.3×	70 0.8×	6 0.1×	23	356
Carlo Trivisano	82 0.6×	74 0.6×	54 0.5×	25 0.3×	3 0.1×	33	301
Felipe Osorio	35 0.3×	153 1.2×	45 0.4×	56 0.6×	4 0.1×	20	292

Countries citing papers authored by Jonathan R. Bradley

Since Specialization

Citations

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

Fields of papers citing papers by Jonathan R. Bradley

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jonathan R. Bradley

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