Lee G. Cooper

72 total papers · 3.4k total citations
40 papers, 2.4k citations indexed

About

Lee G. Cooper is a scholar working on Marketing, Management Science and Operations Research and Economics and Econometrics. According to data from OpenAlex, Lee G. Cooper has authored 40 papers receiving a total of 2.4k indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Marketing, 9 papers in Management Science and Operations Research and 7 papers in Economics and Econometrics. Recurrent topics in Lee G. Cooper's work include Consumer Market Behavior and Pricing (14 papers), Sensory Analysis and Statistical Methods (6 papers) and Economics of Agriculture and Food Markets (4 papers). Lee G. Cooper is often cited by papers focused on Consumer Market Behavior and Pricing (14 papers), Sensory Analysis and Statistical Methods (6 papers) and Economics of Agriculture and Food Markets (4 papers). Lee G. Cooper collaborates with scholars based in United States, Australia and Japan. Lee G. Cooper's co-authors include Masao Nakanishi, Сунил Гупта, David F. Midgley, Gregory S. Carpenter, Dominique M. Hanssens, Robert E. Marks, Donald G. Morrison, David C. Schmittlein, Hosun Rhim and Harold H. Kassarjian and has published in prestigious journals such as Journal of Marketing, Management Science and Journal of Marketing Research.

In The Last Decade

Lee G. Cooper

36 papers receiving 2.1k citations

Author Peers

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

Author Last Decade Papers Cites
Lee G. Cooper 1.4k 845 517 406 279 40 2.4k
Paul E. Green 998 0.7× 960 1.1× 335 0.6× 191 0.5× 361 1.3× 38 2.6k
James L. Ginter 1.3k 0.9× 776 0.9× 242 0.5× 446 1.1× 404 1.4× 30 2.3k
Alan L. Montgomery 1.9k 1.3× 768 0.9× 498 1.0× 327 0.8× 261 0.9× 39 2.9k
James M. Lattin 2.5k 1.8× 1.1k 1.3× 562 1.1× 404 1.0× 331 1.2× 23 3.1k
Imran S. Currim 1.5k 1.1× 935 1.1× 383 0.7× 304 0.7× 351 1.3× 56 2.5k
Byung-Do Kim 1.3k 0.9× 554 0.7× 180 0.3× 221 0.5× 327 1.2× 43 1.8k
Peter Boatwright 1.0k 0.7× 485 0.6× 300 0.6× 202 0.5× 115 0.4× 52 2.1k
Asim Ansari 2.1k 1.5× 603 0.7× 488 0.9× 426 1.0× 525 1.9× 47 3.3k
Florian Zettelmeyer 1.5k 1.0× 906 1.1× 398 0.8× 723 1.8× 162 0.6× 38 2.4k
Naufel J. Vilcassim 1.6k 1.1× 1.1k 1.3× 506 1.0× 537 1.3× 136 0.5× 45 2.1k

Countries citing papers authored by Lee G. Cooper

Since Specialization
Citations

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

Fields of papers citing papers by Lee G. Cooper

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Lee G. Cooper. 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 Lee G. Cooper. The network helps show where Lee G. Cooper may publish in the future.

Co-authorship network of co-authors of Lee G. Cooper

This figure shows the co-authorship network connecting the top 25 collaborators of Lee G. Cooper. A scholar is included among the top collaborators of Lee G. Cooper 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 Lee G. Cooper. Lee G. Cooper 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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