Georgia Perakis

5.2k total citations · 1 hit paper
128 papers, 3.1k citations indexed

About

Georgia Perakis is a scholar working on Management Information Systems, Management Science and Operations Research and Marketing. According to data from OpenAlex, Georgia Perakis has authored 128 papers receiving a total of 3.1k indexed citations (citations by other indexed papers that have themselves been cited), including 67 papers in Management Information Systems, 49 papers in Management Science and Operations Research and 48 papers in Marketing. Recurrent topics in Georgia Perakis's work include Supply Chain and Inventory Management (62 papers), Consumer Market Behavior and Pricing (46 papers) and Auction Theory and Applications (19 papers). Georgia Perakis is often cited by papers focused on Supply Chain and Inventory Management (62 papers), Consumer Market Behavior and Pricing (46 papers) and Auction Theory and Applications (19 papers). Georgia Perakis collaborates with scholars based in United States, Canada and Singapore. Georgia Perakis's co-authors include Guillaume Roels, Maxime C. Cohen, Ruben Lobel, Elodie Adida, Retsef Levi, Velibor V. Mišić, Joline Uichanco, Thomas L. Magnanti, Divya Singhvi and Dimitris Bertsimas and has published in prestigious journals such as Management Science, European Journal of Operational Research and Operations Research.

In The Last Decade

Georgia Perakis

121 papers receiving 3.0k citations

Hit Papers

The Impact of Demand Unce... 2015 2026 2018 2022 2015 100 200 300 400
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.

  1. The Impact of Demand Uncertainty on Consumer Subsidies for Green Technology Adoption
    2015 441 citations Maxime C. Cohen, Ruben Lobel et al. profile →

Author Peers

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

Author Last Decade Papers Cites
Georgia Perakis 1.5k 1.1k 897 831 624 128 3.1k
Wansheng Tang 2.1k 1.4× 874 0.8× 1.0k 1.2× 1.8k 2.2× 339 0.5× 200 3.9k
Ruiqing Zhao 1.5k 1.0× 789 0.7× 783 0.9× 1.3k 1.5× 275 0.4× 129 2.9k
Junhai Ma 1.2k 0.8× 934 0.9× 564 0.6× 1.4k 1.7× 1.3k 2.0× 224 3.7k
Erica L. Plambeck 1.5k 1.0× 599 0.6× 564 0.6× 1.3k 1.6× 611 1.0× 63 2.8k
Jan A. Van Mieghem 2.7k 1.8× 895 0.8× 515 0.6× 1.3k 1.5× 580 0.9× 108 4.0k
Benjamin Lev 636 0.4× 1.3k 1.2× 275 0.3× 835 1.0× 509 0.8× 178 3.9k
Alan Scheller‐Wolf 1.5k 1.0× 443 0.4× 378 0.4× 486 0.6× 255 0.4× 136 2.8k
Mingming Leng 831 0.6× 376 0.4× 577 0.6× 765 0.9× 247 0.4× 59 2.0k
Guoming Lai 1.7k 1.2× 703 0.7× 858 1.0× 1.2k 1.4× 430 0.7× 86 2.6k
Aris Syntetos 1.9k 1.3× 2.5k 2.4× 281 0.3× 917 1.1× 206 0.3× 109 4.0k

Countries citing papers authored by Georgia Perakis

Since Specialization
Citations

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

Fields of papers citing papers by Georgia Perakis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Georgia Perakis

This figure shows the co-authorship network connecting the top 25 collaborators of Georgia Perakis. A scholar is included among the top collaborators of Georgia Perakis 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 Georgia Perakis. Georgia Perakis 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.
Perakis, Georgia. (2024). Introduction: Frontiers in Operations. Manufacturing & Service Operations Management. 26(4). 1189–1189. 2 indexed citations
2.
Pachamanova, Dessislava A., et al.. (2024). A Granular View of Emergency Department Length of Stay: Improving Predictive Power and Extracting Real-Time, Actionable Insights. Annals of Emergency Medicine. 84(4). 386–398. 3 indexed citations
3.
Pachamanova, Dessislava A., et al.. (2024). A Granular Approach to Optimal and Fair Patient Placement in Hospital Emergency Departments. Production and Operations Management. 34(4). 575–589. 5 indexed citations
4.
Harsha, Pavithra, et al.. (2023). End-to-End Learning for Optimization via Constraint-Enforcing Approximators. Proceedings of the AAAI Conference on Artificial Intelligence. 37(6). 7253–7260. 5 indexed citations
5.
Perakis, Georgia & Divya Singhvi. (2023). Dynamic Pricing with Unknown Nonparametric Demand and Limited Price Changes. Operations Research. 72(6). 2726–2744. 1 indexed citations
6.
Ren, Hang, Tingliang Huang, & Georgia Perakis. (2023). Impact of Social Learning on Consumer Subsidies and Supplier Capacity for Green Technology Adoption. SSRN Electronic Journal.
7.
Perakis, Georgia, Divya Singhvi, Omar Skali Lami, & Leann Thayaparan. (2022). COVID‐19: A multiwave SIR‐based model for learning waves. Production and Operations Management. 32(5). 1471–1489. 21 indexed citations
8.
Joseph, Joshua, David Nze Ndong, Georgia Perakis, et al.. (2022). COVID-19: Prediction, Prevalence, and the Operations of Vaccine Allocation. Manufacturing & Service Operations Management. 25(3). 1013–1032. 11 indexed citations
9.
Kumar, Subodha & Georgia Perakis. (2022). A Brief History of the Internet and the World Wide Web. 2(1). 67–72.
10.
Bravo, Fernanda, et al.. (2022). Care coordination for healthcare referrals under a shared‐savings program. Production and Operations Management. 32(1). 189–206. 8 indexed citations
11.
Bastani, Hamsa, Pavithra Harsha, Georgia Perakis, & Divya Singhvi. (2021). Learning Personalized Product Recommendations with Customer Disengagement. Manufacturing & Service Operations Management. 24(4). 2010–2028. 17 indexed citations
12.
Cohen, Maxime C., et al.. (2021). Using Business Analytics to Upgrade Sales Promotions. 1(3). 54–63.
13.
Mišić, Velibor V. & Georgia Perakis. (2019). Data Analytics in Operations Management: A Review. arXiv (Cornell University).
14.
Perakis, Georgia, et al.. (2019). Bounded Memory Peak End Models Can Be Surprisingly Good. SSRN Electronic Journal. 1 indexed citations
15.
Levi, Retsef, et al.. (2019). Optimal Interventions for Increasing Healthy Food Consumption Among Low Income Households. SSRN Electronic Journal. 5 indexed citations
16.
Perakis, Georgia, et al.. (2018). Detecting Customer Trends for Optimal Promotion Targeting. SSRN Electronic Journal. 5 indexed citations
17.
Cohen, Maxime C., et al.. (2015). Scheduling Promotion Vehicles to Boost Pro fits. SSRN Electronic Journal. 2 indexed citations
18.
Perakis, Georgia, et al.. (2012). The Impact of a Target on Newsvendor Decisions. SSRN Electronic Journal. 4 indexed citations
19.
Lobel, Ruben & Georgia Perakis. (2011). Dynamic Pricing through Sampling Based Optimization. DSpace@MIT (Massachusetts Institute of Technology). 4 indexed citations
20.
Adida, Elodie & Georgia Perakis. (2007). A nonlinear continuous time optimal control model of dynamic pricing and inventory control with no backorders. Naval Research Logistics (NRL). 54(7). 767–795. 33 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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