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 Uncertainty on Consumer Subsidies fo... 2015 2026 2018 2022 2015 100 200 300 400

Peers

Georgia Perakis
Comparison fields: 5 of 119
  • Management Information Systems 1.5k
  • Management Science and Operations Research 1.1k
  • Marketing 897
  • Strategy and Management 831
  • Economics and Econometrics 624
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Citations per field, relative to Georgia Perakis
Georgia Perakis · 1×
Citations per year, relative to Georgia Perakis
Georgia Perakis · 1×

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
# Work Indexed citations
1 2
2 3
3 5
4 5
5 1
6 0
7 21
8 11
9 0
10 8
11 17
12 9
13 2
14
Data Analytics in Operations Management: A Review
0
15
Bounded Memory Peak End Models Can Be Surprisingly Good
1
16 3
17
The Impact of a Target on Newsvendor Decisions
4
18
Dynamic Pricing through Sampling Based Optimization
4
19 33
20 51

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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