Brian J. Revell

54 total papers · 458 total citations
24 papers, 334 citations indexed

About

Brian J. Revell is a scholar working on General Economics, Econometrics and Finance, Economics and Econometrics and General Agricultural and Biological Sciences. According to data from OpenAlex, Brian J. Revell has authored 24 papers receiving a total of 334 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in General Economics, Econometrics and Finance, 8 papers in Economics and Econometrics and 6 papers in General Agricultural and Biological Sciences. Recurrent topics in Brian J. Revell's work include Global trade and economics (8 papers), Economics of Agriculture and Food Markets (6 papers) and Agricultural Economics and Policy (6 papers). Brian J. Revell is often cited by papers focused on Global trade and economics (8 papers), Economics of Agriculture and Food Markets (6 papers) and Agricultural Economics and Policy (6 papers). Brian J. Revell collaborates with scholars based in United Kingdom, Greece and China. Brian J. Revell's co-authors include Panos Fousekis, Xue Liu, E.F.M. Wubben, Jacques Trienekens, Martin C. Hare, John S. Marsh, Alan MacLeod, James Monaghan, Nicola Spence and Roger Smith and has published in prestigious journals such as Sustainability, Archives of Disease in Childhood Fetal & Neonatal and British Food Journal.

In The Last Decade

Brian J. Revell

22 papers receiving 291 citations

Author Peers

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

Author Last Decade Papers Cites
Brian J. Revell 105 91 79 66 54 24 334
Pasquale Lombardi 125 1.2× 165 1.8× 89 1.1× 43 0.7× 55 1.0× 17 368
Bernt Aarset 55 0.5× 117 1.3× 84 1.1× 51 0.8× 42 0.8× 27 372
Carlos Díaz‐Caro 86 0.8× 80 0.9× 99 1.3× 78 1.2× 61 1.1× 31 355
Brian L. Buhr 91 0.9× 50 0.5× 59 0.7× 156 2.4× 10 0.2× 33 334
Anna Carbone 135 1.3× 218 2.4× 33 0.4× 71 1.1× 28 0.5× 32 383
Shang‐Ho Yang 74 0.7× 143 1.6× 115 1.5× 72 1.1× 28 0.5× 29 313
James Northen 199 1.9× 128 1.4× 51 0.6× 57 0.9× 26 0.5× 9 382
Quentin Fong 69 0.7× 55 0.6× 95 1.2× 74 1.1× 50 0.9× 19 386
Karine Latouche 86 0.8× 65 0.7× 19 0.2× 98 1.5× 18 0.3× 21 369
Karen L. DeLong 60 0.6× 128 1.4× 64 0.8× 112 1.7× 34 0.6× 46 336

Countries citing papers authored by Brian J. Revell

Since Specialization
Citations

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

Fields of papers citing papers by Brian J. Revell

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Brian J. Revell

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