Richard Ratliff

887 total citations
20 papers, 609 citations indexed

About

Richard Ratliff is a scholar working on Management Information Systems, Marketing and General Economics, Econometrics and Finance. According to data from OpenAlex, Richard Ratliff has authored 20 papers receiving a total of 609 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Management Information Systems, 9 papers in Marketing and 7 papers in General Economics, Econometrics and Finance. Recurrent topics in Richard Ratliff's work include Supply Chain and Inventory Management (14 papers), Consumer Market Behavior and Pricing (9 papers) and Transportation Planning and Optimization (7 papers). Richard Ratliff is often cited by papers focused on Supply Chain and Inventory Management (14 papers), Consumer Market Behavior and Pricing (9 papers) and Transportation Planning and Optimization (7 papers). Richard Ratliff collaborates with scholars based in United States, Germany and Argentina. Richard Ratliff's co-authors include Gustavo Vulcano, Garrett van Ryzin, Guillermo Gallego, Sergey Shebalov, Ben Vinod, B. Venkateshwara Rao, Larry Weatherford, Lin Li, Vikram Jayaram and Barry Smith and has published in prestigious journals such as Operations Research, Managerial Auditing Journal and Journal of Revenue and Pricing Management.

In The Last Decade

Richard Ratliff

19 papers receiving 540 citations

Peers

Richard Ratliff

MIS

MARKE

MSOR

GEEF

Larry Weatherford United States

Warren Lieberman United States

Barry Smith United States

Ross Darrow United States

Ben Vinod United States

Jochen Gönsch Germany

Soheil Sibdari United States

Joern Meissner United Kingdom

Claudius Steinhardt Germany

Yao Cui United States

Larry Weatherford United States

Richard Ratliff

415 ×1.0

MIS

347 ×0.9

MARKE

362 ×2.3

MSOR

90 ×0.8

155 ×1.5

GEEF

Citations per year, relative to Richard Ratliff Richard Ratliff (= 1×) peers Larry Weatherford

Countries citing papers authored by Richard Ratliff

Since Specialization

Citations

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

Fields of papers citing papers by Richard Ratliff

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Richard Ratliff

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

All Works

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20 of 20 papers shown

Ratliff, Richard, et al.. (2022). A heuristic for incorporating ancillaries into air choice models with personalization (Part 1: estimating preferences using hedonic regression). Journal of Revenue and Pricing Management. 22(2). 122–139. 1 indexed citations

Ratliff, Richard, et al.. (2022). A heuristic for incorporating ancillaries into air choice models with personalization (part 2: integrated multinomial logit and hedonic regression models). Journal of Revenue and Pricing Management. 22(2). 140–151. 1 indexed citations

Ratliff, Richard, et al.. (2018). Towards new industry-standard specifications for air dynamic pricing engines. Journal of Revenue and Pricing Management. 17(6). 394–402. 6 indexed citations

Vinod, Ben, Richard Ratliff, & Vikram Jayaram. (2018). An approach to offer management: maximizing sales with fare products and ancillaries. Journal of Revenue and Pricing Management. 17(2). 91–101. 16 indexed citations

Dong, Liang, et al.. (2017). Robust revenue opportunity modeling with quadratic programming. Journal of Revenue and Pricing Management. 16(6). 569–579. 3 indexed citations

Ratliff, Richard & Ben Vinod. (2016). An applied process for airline strategic fare optimization. Journal of Revenue and Pricing Management. 15(5). 320–333. 3 indexed citations

Gallego, Guillermo, Richard Ratliff, & Sergey Shebalov. (2014). A General Attraction Model and Sales-Based Linear Program for Network Revenue Management Under Customer Choice. Operations Research. 63(1). 212–232. 112 indexed citations

Ratliff, Richard & Guillermo Gallego. (2013). Estimating sales and profitability impacts of airline branded-fares product design and pricing decisions using customer choice models. Journal of Revenue and Pricing Management. 12(6). 509–523. 16 indexed citations

Vulcano, Gustavo, Garrett van Ryzin, & Richard Ratliff. (2012). Estimating Primary Demand for Substitutable Products from Sales Transaction Data. Operations Research. 60(2). 313–334. 192 indexed citations

10.

Ratliff, Richard & Guillermo Gallego. (2012). Branded fares product design and pricing. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 2. 910. 1 indexed citations

11.

Ratliff, Richard & Larry Weatherford. (2012). Codeshare and alliance revenue management best practices: AGIFORS roundtable review. Journal of Revenue and Pricing Management. 12(1). 26–35. 7 indexed citations

12.

Gallego, Guillermo, Richard Ratliff, & Sergey Shebalov. (2011). A general attraction model and an efficient formulation for the network revenue management problem. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 20 indexed citations

13.

Vulcano, Gustavo, Garrett van Ryzin, & Richard Ratliff. (2011). Estimating Primary Demand for Substitutable Products from Sales Transaction Data. SSRN Electronic Journal. 39 indexed citations

14.

Jacobs, Timothy L., Richard Ratliff, & Barry Smith. (2010). Understanding the relationship between price, revenue management controls and scheduled capacity – A price balance statistic for optimizing pricing strategies. Journal of Revenue and Pricing Management. 9(4). 356–373. 9 indexed citations

15.

Weatherford, Larry & Richard Ratliff. (2010). Review of revenue management methods with dependent demands. Journal of Revenue and Pricing Management. 9(4). 326–340. 31 indexed citations

16.

Gallego, Guillermo, Lin Li, & Richard Ratliff. (2009). Choice-based EMSR methods for single-leg revenue management with demand dependencies. Journal of Revenue and Pricing Management. 8(2-3). 207–240. 32 indexed citations

17.

Vinod, Ben, et al.. (2009). Pricing decision support: Optimising fares in competitive markets. Journal of Revenue and Pricing Management. 8(4). 295–312. 12 indexed citations

18.

Ratliff, Richard, et al.. (2008). A multi-flight recapture heuristic for estimating unconstrained demand from airline bookings. Journal of Revenue and Pricing Management. 7(2). 153–171. 81 indexed citations

19.

Ratliff, Richard & Ben Vinod. (2005). Future of Revenue Management: Airline pricing and revenue management: A future outlook. Journal of Revenue and Pricing Management. 4(3). 302–307. 23 indexed citations

20.

Ratliff, Richard & Steven K. Hanks. (1992). Evaluating Risk. Managerial Auditing Journal. 7(5). 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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