Chris McKenna

84 total papers · 1.3k total citations
41 papers, 758 citations indexed

About

Chris McKenna is a scholar working on Economics and Econometrics, General Health Professions and Management Science and Operations Research. According to data from OpenAlex, Chris McKenna has authored 41 papers receiving a total of 758 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Economics and Econometrics, 6 papers in General Health Professions and 6 papers in Management Science and Operations Research. Recurrent topics in Chris McKenna's work include Labor market dynamics and wage inequality (10 papers), Auction Theory and Applications (6 papers) and Economic theories and models (5 papers). Chris McKenna is often cited by papers focused on Labor market dynamics and wage inequality (10 papers), Auction Theory and Applications (6 papers) and Economic theories and models (5 papers). Chris McKenna collaborates with scholars based in United Kingdom, United States and Canada. Chris McKenna's co-authors include Louis N. Christofides, David Marsden, John D. Hey, Ina Rhee, F. Stephen Hodi, Thomas Powles, David C. Smith, Ulrich Beyer, Marcus Ballinger and Gregg Fine and has published in prestigious journals such as Journal of Clinical Oncology, Journal of Political Economy and The Economic Journal.

In The Last Decade

Chris McKenna

38 papers receiving 662 citations

Author Peers

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

Author Last Decade Papers Cites
Chris McKenna 304 194 124 99 92 41 758
Ying Zhang 117 0.4× 46 0.2× 90 0.7× 26 0.3× 29 0.3× 66 684
Patrik Hesselius 59 0.2× 238 1.2× 109 0.9× 159 1.6× 115 1.3× 43 752
Patricia A. Robinson 107 0.4× 205 1.1× 118 1.0× 36 0.4× 11 0.1× 36 881
Fred H. Goldner 34 0.1× 95 0.5× 50 0.4× 146 1.5× 149 1.6× 36 823
Neil McHugh 181 0.6× 41 0.2× 146 1.2× 55 0.6× 9 0.1× 53 898
Patrick P. McHugh 21 0.1× 64 0.3× 60 0.5× 41 0.4× 106 1.2× 42 805
Gerald Marschke 341 1.1× 31 0.2× 45 0.4× 116 1.2× 6 0.1× 32 893
John R. Wells 117 0.4× 53 0.3× 13 0.1× 51 0.5× 43 0.5× 42 700
Gregory S. Alexander 98 0.3× 112 0.6× 15 0.1× 77 0.8× 14 0.2× 71 767
Michael Atkinson 155 0.5× 43 0.2× 107 0.9× 30 0.3× 49 0.5× 50 708

Countries citing papers authored by Chris McKenna

Since Specialization
Citations

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

Fields of papers citing papers by Chris McKenna

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Chris McKenna. 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 Chris McKenna. The network helps show where Chris McKenna may publish in the future.

Co-authorship network of co-authors of Chris McKenna

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