Jay T. Akridge

99 total papers · 808 total citations
44 papers, 430 citations indexed

About

Jay T. Akridge is a scholar working on Strategy and Management, General Agricultural and Biological Sciences and Economics and Econometrics. According to data from OpenAlex, Jay T. Akridge has authored 44 papers receiving a total of 430 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Strategy and Management, 8 papers in General Agricultural and Biological Sciences and 7 papers in Economics and Econometrics. Recurrent topics in Jay T. Akridge's work include Customer Service Quality and Loyalty (6 papers), Cooperative Studies and Economics (6 papers) and Economics of Agriculture and Food Markets (5 papers). Jay T. Akridge is often cited by papers focused on Customer Service Quality and Loyalty (6 papers), Cooperative Studies and Economics (6 papers) and Economics of Agriculture and Food Markets (5 papers). Jay T. Akridge collaborates with scholars based in United States, Canada and New Zealand. Jay T. Akridge's co-authors include Thomas W. Hertel, Frank J. Dooley, Michael A. Boland, J. C. Forrest, Jason Henderson, Paul V. Preckel, Michael Boehlje, B. Wade Brorsen, A. P. Schinckel and Brent A. Gloy and has published in prestigious journals such as Journal of Animal Science, American Journal of Agricultural Economics and Applied Economic Perspectives and Policy.

In The Last Decade

Jay T. Akridge

39 papers receiving 347 citations

Author Peers

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

Author						Papers	Cites
Jay T. Akridge	115	86	84	77	60	44	430
Ray A. Goldberg	122 1.1×	86 1.0×	102 1.2×	28 0.4×	18 0.3×	56	453
Giana de Vargas Mores	93 0.8×	30 0.3×	59 0.7×	10 0.1×	47 0.8×	48	476
Csaba Bálint Illés	112 1.0×	53 0.6×	14 0.2×	31 0.4×	76 1.3×	61	493
Anna Dunay	125 1.1×	58 0.7×	15 0.2×	29 0.4×	120 2.0×	62	443
R. Wes Harrison	91 0.8×	156 1.8×	45 0.5×	14 0.2×	47 0.8×	43	460
Rachel Duffy	222 1.9×	15 0.2×	17 0.2×	13 0.2×	121 2.0×	15	450
Jaeseok Jeong	89 0.8×	48 0.6×	9 0.1×	28 0.4×	199 3.3×	25	459
Young Chan Choe	88 0.8×	60 0.7×	28 0.3×	4 0.1×	84 1.4×	35	444
Yan Heng	18 0.2×	90 1.0×	9 0.1×	33 0.4×	131 2.2×	27	427
Egil Petter Stræte	77 0.7×	28 0.3×	132 1.6×	8 0.1×	19 0.3×	24	407

Countries citing papers authored by Jay T. Akridge

Since Specialization

Citations

This map shows the geographic impact of Jay T. Akridge'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 Jay T. Akridge with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jay T. Akridge more than expected).

Fields of papers citing papers by Jay T. Akridge

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jay T. Akridge. 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 Jay T. Akridge. The network helps show where Jay T. Akridge may publish in the future.

Co-authorship network of co-authors of Jay T. Akridge

This figure shows the co-authorship network connecting the top 25 collaborators of Jay T. Akridge. A scholar is included among the top collaborators of Jay T. Akridge 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 Jay T. Akridge. Jay T. Akridge 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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