Bryan Orme

1.3k total citations · 1 hit paper
8 papers, 964 citations indexed

About

Bryan Orme is a scholar working on Economics and Econometrics, Marketing and Management Science and Operations Research. According to data from OpenAlex, Bryan Orme has authored 8 papers receiving a total of 964 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Economics and Econometrics, 4 papers in Marketing and 2 papers in Management Science and Operations Research. Recurrent topics in Bryan Orme's work include Economic and Environmental Valuation (5 papers), Consumer Market Behavior and Pricing (4 papers) and Statistical Methods and Bayesian Inference (1 paper). Bryan Orme is often cited by papers focused on Economic and Environmental Valuation (5 papers), Consumer Market Behavior and Pricing (4 papers) and Statistical Methods and Bayesian Inference (1 paper). Bryan Orme collaborates with scholars based in United States, Germany and Ireland. Bryan Orme's co-authors include Peter Lenk, Thomas Otter, Joan L. Walker, Elie Ofek, Dan Horsky, Jaehwan Kim, Greg M. Allenby, Thomas C. Eagle, Joel Huber and Joachim Büschken and has published in prestigious journals such as Management Science, Journal of Marketing Research and Marketing Letters.

In The Last Decade

Bryan Orme

8 papers receiving 916 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Getting Started with Conjoint Analysis: Strategies for Product Design and Pricing Research

2005 877 citations Bryan Orme profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Bryan Orme United States	5	455	220	127	119	98	8	964
Warren F. Kuhfeld United States	6	617 1.4×	240 1.1×	56 0.4×	128 1.1×	40 0.4×	13	978
Roselinde Kessels Belgium	20	645 1.4×	210 1.0×	133 1.0×	129 1.1×	33 0.3×	69	1.3k
Edoardo Lozza Italy	18	318 0.7×	169 0.8×	314 2.5×	162 1.4×	75 0.8×	59	1.2k
Leonie Burgess Australia	13	1.3k 2.8×	331 1.5×	189 1.5×	127 1.1×	117 1.2×	20	1.8k
Klaus Zwerina United States	4	930 2.0×	312 1.4×	66 0.5×	100 0.8×	54 0.6×	4	1.2k
Nada Wasi Australia	11	1.0k 2.3×	286 1.3×	115 0.9×	136 1.1×	41 0.4×	19	1.4k
Fred A. Yamoah United Kingdom	15	322 0.7×	269 1.2×	33 0.3×	123 1.0×	75 0.8×	37	1.2k
Aldo Álvarez-Risco Peru	22	311 0.7×	270 1.2×	244 1.9×	304 2.6×	57 0.6×	105	1.8k
Matteo M. Galizzi United Kingdom	21	440 1.0×	119 0.5×	199 1.6×	312 2.6×	70 0.7×	68	1.4k
Linda Thunström United States	17	421 0.9×	58 0.3×	120 0.9×	286 2.4×	201 2.1×	56	1.3k

Countries citing papers authored by Bryan Orme

Since Specialization

Citations

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

Fields of papers citing papers by Bryan Orme

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Bryan Orme

This figure shows the co-authorship network connecting the top 25 collaborators of Bryan Orme. A scholar is included among the top collaborators of Bryan Orme 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 Bryan Orme. Bryan Orme is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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8 of 8 papers shown

1.

Büschken, Joachim, et al.. (2025). Integrating Conjoint and Maximum Difference Scaling Data. Management Science. 71(11). 9404–9422. 1 indexed citations

2.

Orme, Bryan. (2010). The value of HB in conjoint/choice analysis. The business & management collection.. 2010(1). e1002266–e1002266. 7 indexed citations

3.

Lenk, Peter & Bryan Orme. (2009). The Value of Informative Priors in Bayesian Inference with Sparse Data. Journal of Marketing Research. 46(6). 832–845. 14 indexed citations

4.

Orme, Bryan. (2009). Using Calibration Questions to Obtain Absolute Scaling in MaxDiff. 1 indexed citations

5.

Allenby, Greg M., Joel Huber, Thomas C. Eagle, et al.. (2005). Adjusting Choice Models to Better Predict Market Behavior. Marketing Letters. 16(3-4). 197–208. 59 indexed citations

6.

Orme, Bryan. (2005). Comment on current issues and a ‘wish list’ for conjoint analysis. Applied Stochastic Models in Business and Industry. 21(4-5). 329–330. 1 indexed citations

7.

Orme, Bryan. (2005). Getting Started with Conjoint Analysis: Strategies for Product Design and Pricing Research. 877 indexed citations breakdown →

8.

Orme, Bryan, et al.. (1999). Predicting Actual Sales with CBC: How Capturing Heterogeneity Improves Results. 4 indexed citations

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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