Daniela Sabán
Impact in
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- Auction Theory and Applications
- Game Theory and Applications
- Marketing top 10%
- Consumer Market Behavior and Pricing
Papers in
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- Auction Theory and Applications 16
- Game Theory and Applications 5
- Marketing 10
- Consumer Market Behavior and Pricing 8
- Sharing Economy and Platforms 3
- Co-authors
- Jay Sethuraman (8 shared papers)Yash Kanoria (4 shared papers)Nicolás E. Stier‐Moses (6 shared papers)Flavia Bonomo (4 shared papers)Ali Aouad (2 shared papers)Yonatan Gur (4 shared papers)Ruth Beer (1 shared paper)Javier L. Marenco (3 shared papers)
- Journals
- Management Science (6 papers)Operations Research (6 papers)Manufacturing & Service Operations Management (2 papers)Physica A Statistical Mechanics and its Applications (1 paper)INFORMS Journal on Applied Analytics (1 paper)
- Partner nations
- United StatesArgentinaUnited Kingdom
In The Last Decade
Daniela Sabán
27 papers receiving 249 citations
Peers
Comparison fields: 5 of 55
- Management Science and Operations Research 140
- Marketing 62
- Economics and Econometrics 101
- Management Information Systems 33
- General Decision Sciences 6
Countries citing papers authored by Daniela Sabán
This map shows the geographic impact of Daniela Sabán'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 Daniela Sabán with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniela Sabán more than expected).
Fields of papers citing papers by Daniela Sabán
This network shows the impact of papers produced by Daniela Sabán. 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 Daniela Sabán. The network helps show where Daniela Sabán may publish in the future.
Co-authors
The 16 scholars most cited alongside Daniela Sabán, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 39 | |
| 2 | 2013 | 23 | |
| 3 | 2013 | 21 | |
| 4 | 2012 | 21 | |
| 5 | 2015 | 21 | |
| 6 | 2010 | 19 | |
| 7 | 2023 | 16 | |
| 8 | 2022 | 16 | |
| 9 | 2021 | 15 | |
| 10 | 2022 | 8 | |
| 11 | 2013 | 7 | |
| 12 | 2013 | 7 | |
| 13 | 2012 | 6 | |
| 14 | 2021 | 5 | |
| 15 | 2022 | 5 | |
| 16 | 2018 | 4 | |
| 17 | 2017 | 4 | |
| 18 | 2018 | 4 | |
| 19 | 2023 | 3 | |
| 20 | 2018 | 2 |
About Daniela Sabán
Daniela Sabán is a scholar working on Management Science and Operations Research, Marketing, Economics and Econometrics, Management Information Systems and Strategy and Management, having authored 30 papers that have together received 255 indexed citations. Recurring topics across this work include Auction Theory and Applications (16 papers), Game Theory and Voting Systems (11 papers), Consumer Market Behavior and Pricing (8 papers), Optimization and Search Problems (6 papers), Supply Chain and Inventory Management (6 papers), Game Theory and Applications (5 papers), Economic theories and models (3 papers) and Sharing Economy and Platforms (3 papers). The work is most often cited by research in Management Science and Operations Research (140 citations), Marketing (62 citations), Economics and Econometrics (101 citations), Management Information Systems (33 citations) and General Decision Sciences (6 citations). Daniela Sabán has collaborated with scholars based in United States, Argentina and United Kingdom. Frequent co-authors include Jay Sethuraman, Yash Kanoria, Nicolás E. Stier‐Moses, Flavia Bonomo, Ali Aouad, Yonatan Gur, Ruth Beer, Javier L. Marenco, Guillermo Durán and Gabriel Y. Weintraub. Their work appears in journals such as Management Science, Operations Research, Manufacturing & Service Operations Management, Physica A Statistical Mechanics and its Applications and INFORMS Journal on Applied Analytics.
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.