A. R. Tremayne

48 total papers · 1.5k total citations
36 papers, 1.1k citations indexed

About

A. R. Tremayne is a scholar working on Statistics and Probability, Finance and General Economics, Econometrics and Finance. According to data from OpenAlex, A. R. Tremayne has authored 36 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Statistics and Probability, 14 papers in Finance and 11 papers in General Economics, Econometrics and Finance. Recurrent topics in A. R. Tremayne's work include Financial Risk and Volatility Modeling (13 papers), Advanced Statistical Methods and Models (12 papers) and Monetary Policy and Economic Impact (11 papers). A. R. Tremayne is often cited by papers focused on Financial Risk and Volatility Modeling (13 papers), Advanced Statistical Methods and Models (12 papers) and Monetary Policy and Economic Impact (11 papers). A. R. Tremayne collaborates with scholars based in United Kingdom, Australia and Germany. A. R. Tremayne's co-authors include L. G. Godfrey, Robert C. Jung, D. S. Poskitt, Brendan McCabe, Stephen J. Leybourne, Gerd Ronning, Frederick van der Ploeg, Kaddour Hadri, Andrew Harvey and Juan de Díos Tena and has published in prestigious journals such as Biometrika, The Review of Economic Studies and Journal of the Royal Statistical Society Series B (Statistical Methodology).

In The Last Decade

A. R. Tremayne

34 papers receiving 1.0k citations

Author Peers

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

Author						Papers	Cites
A. R. Tremayne	361	341	337	302	281	36	1.1k
V. K. Srivastava	126 0.3×	70 0.2×	109 0.3×	159 0.5×	407 1.4×	121	1.3k
R B Davies	53 0.1×	367 1.1×	125 0.4×	445 1.5×	209 0.7×	19	1.2k
Jostein Paulsen	30 0.1×	717 2.1×	47 0.1×	351 1.2×	217 0.8×	39	1.2k
Youjuan Li	413 1.1×	28 0.1×	183 0.5×	34 0.1×	274 1.0×	27	934
Pavel V. Shevchenko	113 0.3×	301 0.9×	84 0.2×	293 1.0×	129 0.5×	105	1.1k
G. M. Molchan	984 2.7×	169 0.5×	496 1.5×	277 0.9×	24 0.1×	52	1.4k
J. Eric Bickel	40 0.1×	167 0.5×	205 0.6×	169 0.6×	75 0.3×	81	1.1k
Jonathan Stroud	11 0.0×	455 1.3×	157 0.5×	286 0.9×	90 0.3×	35	1.1k
Michael Frank	7 0.0×	262 0.8×	219 0.6×	159 0.5×	342 1.2×	49	1.4k
Amit Sen	112 0.3×	118 0.3×	55 0.2×	445 1.5×	21 0.1×	76	920

Countries citing papers authored by A. R. Tremayne

Since Specialization

Citations

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

Fields of papers citing papers by A. R. Tremayne

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of A. R. Tremayne

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