Salma Karray

1.8k citations
42 papers · 1.3k · h-index 20

Impact in

Papers in

    • Consumer Market Behavior and Pricing 36
    • Consumer Retail Behavior Studies 6
    • Customer churn and segmentation 4
    • Digital Platforms and Economics 21

Salma Karray

41 papers receiving 1.3k citations

Peers

Salma Karray
Comparison fields: 5 of 108
  • Marketing 794
  • Management Information Systems 691
  • Strategy and Management 630
  • Management Science and Operations Research 210
  • Economics and Econometrics 221
Replace Lijun Ma with:
Lijun Ma China
Victor Martínez‐de‐Albéniz Spain
Daewon Sun United States
Benny Mantin Canada
Sun-Jen Huang Taiwan
Yanju Zhou China
Phillip J. Lederer United States
Yuliang Yao United States
G. Peter Zhang United States
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Citations per year

Countries citing papers authored by Salma Karray

Since Specialization
Citations

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

Fields of papers citing papers by Salma Karray

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 10 scholars most cited alongside Salma Karray, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Salma Karray Line = papers co-authored together Salma Karray links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 42 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2006123
2 2019120
3 200790
4 201481
5 200772
6 201868
7 202267
8 201466
9 201862
10 201357
11 201545
12 201644
13 201036
14 202135
15 201533
16 201828
17 201723
18 201621
19 200820
20 202120

About Salma Karray

Salma Karray is a scholar working on Marketing, Strategy and Management, Economics and Econometrics, Management Information Systems and Management Science and Operations Research, having authored 42 papers that have together received 1.3k indexed citations. Recurring topics across this work include Consumer Market Behavior and Pricing (36 papers), Digital Platforms and Economics (21 papers), Supply Chain and Inventory Management (18 papers), Merger and Competition Analysis (16 papers), Consumer Retail Behavior Studies (6 papers), Customer Service Quality and Loyalty (4 papers), Customer churn and segmentation (4 papers) and Auction Theory and Applications (2 papers). The work is most often cited by research in Marketing (794 citations), Management Information Systems (691 citations), Strategy and Management (630 citations), Management Science and Operations Research (210 citations) and Economics and Econometrics (221 citations). Salma Karray has collaborated with scholars based in Canada, Spain and Netherlands. Frequent co-authors include Guiomar Martín‐Herrán, Georges Zaccour, Simon Pierre Sigué, Marcos Machado, Saman Hassanzadeh Amin, Pietro De Giovanni, Chirag Surti, Saeed Zolfaghari, Nader Azad and Mondher Toumi. Their work appears in journals such as European Journal of Operational Research, International Journal of Production Economics, International Journal of Production Research, International Transactions in Operational Research and Omega.

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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