Michael D. Wittman

514 total citations
20 papers, 385 citations indexed

About

Michael D. Wittman is a scholar working on General Economics, Econometrics and Finance, Management Information Systems and Aerospace Engineering. According to data from OpenAlex, Michael D. Wittman has authored 20 papers receiving a total of 385 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in General Economics, Econometrics and Finance, 9 papers in Management Information Systems and 8 papers in Aerospace Engineering. Recurrent topics in Michael D. Wittman's work include Aviation Industry Analysis and Trends (16 papers), Supply Chain and Inventory Management (9 papers) and Air Traffic Management and Optimization (8 papers). Michael D. Wittman is often cited by papers focused on Aviation Industry Analysis and Trends (16 papers), Supply Chain and Inventory Management (9 papers) and Air Traffic Management and Optimization (8 papers). Michael D. Wittman collaborates with scholars based in United States, Belgium and France. Michael D. Wittman's co-authors include Peter Belobaba, Florian Allroggen, Robert Malina, Larry Weatherford, Kevin Wang and Michaël Defoin-Platel and has published in prestigious journals such as Transportation Research Part A Policy and Practice, Transportation Research Part E Logistics and Transportation Review and Transport Policy.

In The Last Decade

Michael D. Wittman

19 papers receiving 361 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Michael D. Wittman United States 11 285 153 98 93 83 20 385
Stacey Mumbower United States 9 231 0.8× 102 0.7× 74 0.8× 84 0.9× 47 0.6× 15 324
Alberto A. Gaggero Italy 13 407 1.4× 178 1.2× 198 2.0× 120 1.3× 164 2.0× 33 533
Richard Klophaus Germany 10 255 0.9× 122 0.8× 122 1.2× 46 0.5× 108 1.3× 23 332
Seock‐Jin Hong United States 10 198 0.7× 67 0.4× 52 0.5× 58 0.6× 116 1.4× 28 387
Alessandro Cento Italy 9 310 1.1× 169 1.1× 114 1.2× 43 0.5× 140 1.7× 12 426
David Warnock-Smith United Kingdom 14 449 1.6× 193 1.3× 165 1.7× 88 0.9× 156 1.9× 31 562
Volodymyr Bilotkach United Kingdom 13 393 1.4× 194 1.3× 168 1.7× 75 0.8× 227 2.7× 28 531
Yu‐Chun Chang Taiwan 14 257 0.9× 131 0.9× 86 0.9× 29 0.3× 140 1.7× 26 407
Volodymyr Bilotkach United States 14 443 1.6× 187 1.2× 181 1.8× 128 1.4× 261 3.1× 42 507
Cristina Barbot Portugal 10 389 1.4× 153 1.0× 120 1.2× 29 0.3× 230 2.8× 16 453

Countries citing papers authored by Michael D. Wittman

Since Specialization
Citations

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

Fields of papers citing papers by Michael D. Wittman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Michael D. Wittman. 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 Michael D. Wittman. The network helps show where Michael D. Wittman may publish in the future.

Co-authorship network of co-authors of Michael D. Wittman

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

All Works

20 of 20 papers shown
1.
Wang, Kevin, et al.. (2023). Dynamic offer creation for airline ancillaries using a Markov chain choice model. Journal of Revenue and Pricing Management. 22(2). 103–121. 3 indexed citations
2.
Wittman, Michael D., et al.. (2022). Demand change detection in airline revenue management. Journal of Revenue and Pricing Management. 21(6). 581–595. 4 indexed citations
3.
Wang, Kevin, et al.. (2021). Dynamic offer generation in airline revenue management. Journal of Revenue and Pricing Management. 20(6). 654–668. 10 indexed citations
4.
Weatherford, Larry, et al.. (2019). Can demand forecast accuracy be linked to airline revenue?. Journal of Revenue and Pricing Management. 18(4). 291–305. 11 indexed citations
5.
Wittman, Michael D., et al.. (2018). A dynamic pricing engine for multiple substitutable flights. Journal of Revenue and Pricing Management. 17(6). 420–435.
6.
Wittman, Michael D. & Peter Belobaba. (2018). Dynamic pricing mechanisms for the airline industry: a definitional framework. Journal of Revenue and Pricing Management. 18(2). 100–106. 31 indexed citations
7.
Wittman, Michael D., et al.. (2017). The emergence and effects of the ultra-low cost carrier (ULCC) business model in the U.S. airline industry. Journal of Air Transport Management. 62. 155–164. 58 indexed citations
8.
Wittman, Michael D. & Peter Belobaba. (2017). Customized dynamic pricing of airline fare products. Journal of Revenue and Pricing Management. 17(2). 78–90. 21 indexed citations
9.
Wittman, Michael D., Florian Allroggen, & Robert Malina. (2016). Public service obligations for air transport in the United States and Europe: Connectivity effects and value for money. Transportation Research Part A Policy and Practice. 94. 112–128. 32 indexed citations
10.
Wittman, Michael D. & Peter Belobaba. (2016). Personalization in airline revenue management – Heuristics for real-time adjustment of availability and fares. Journal of Revenue and Pricing Management. 16(4). 376–396. 21 indexed citations
11.
Wittman, Michael D. & Peter Belobaba. (2016). Dynamic availability of fare products with knowledge of customer characteristics. Journal of Revenue and Pricing Management. 16(2). 201–217. 9 indexed citations
12.
Allroggen, Florian, Michael D. Wittman, & Robert Malina. (2015). How air transport connects the world – A new metric of air connectivity and its evolution between 1990 and 2012. Transportation Research Part E Logistics and Transportation Review. 80. 184–201. 72 indexed citations
13.
Wittman, Michael D.. (2014). Public Funding of Airport Incentives: The Ecacy of the Small Community Air Service Development Grant (SCASDG) Program. 2 indexed citations
14.
Wittman, Michael D.. (2014). An Assessment of Air Service Accessibility in U.S. Metropolitan Regions, 2007-2012. DSpace@MIT (Massachusetts Institute of Technology). 4 indexed citations
15.
Wittman, Michael D., et al.. (2014). Capacity Discipline and the Consolidation of Airport Connectivity in the United States. Transportation Research Record Journal of the Transportation Research Board. 2449(1). 72–78. 11 indexed citations
16.
17.
Wittman, Michael D., et al.. (2013). Evolving Trends of U.S. Domestic Airfares: The Impacts of Competition, Consolidation, and Low-Cost Carriers. DSpace@MIT (Massachusetts Institute of Technology). 4 indexed citations
18.
Wittman, Michael D., et al.. (2013). Modeling Changes in Connectivity at U.S. Airports: A Small Community Perspective. DSpace@MIT (Massachusetts Institute of Technology). 9 indexed citations
19.
Wittman, Michael D., et al.. (2013). Trends and Market Forces Shaping Small Community Air Service in the United States. DSpace@MIT (Massachusetts Institute of Technology). 19 indexed citations
20.
Wittman, Michael D.. (2013). Are low-cost carrier passengers less likely to complain about service quality?. Journal of Air Transport Management. 35. 64–71. 37 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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