Marian Makkar

28 total papers · 857 total citations
17 papers, 627 citations indexed

About

Marian Makkar is a scholar working on Marketing, Sociology and Political Science and Clinical Psychology. According to data from OpenAlex, Marian Makkar has authored 17 papers receiving a total of 627 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Marketing, 11 papers in Sociology and Political Science and 3 papers in Clinical Psychology. Recurrent topics in Marian Makkar's work include Sharing Economy and Platforms (6 papers), Consumer Behavior in Brand Consumption and Identification (5 papers) and Digital Economy and Work Transformation (4 papers). Marian Makkar is often cited by papers focused on Sharing Economy and Platforms (6 papers), Consumer Behavior in Brand Consumption and Identification (5 papers) and Digital Economy and Work Transformation (4 papers). Marian Makkar collaborates with scholars based in Australia, New Zealand and Canada. Marian Makkar's co-authors include Sheau Fen Yap, Weng Marc Lim, Halimin Herjanto, Sanjaya Singh Gaur, Carlos Díaz Ruiz, Francis Farrelly, Russell W. Belk, Navdeep Athwal, Duy Dang-Pham and Muhammad Ashfaq and has published in prestigious journals such as Journal of Business Research, European Journal of Marketing and Journal of Retailing and Consumer Services.

In The Last Decade

Marian Makkar

13 papers receiving 611 citations

Hit Papers

Home sharing in marketing... 2020 2026 2022 2024 2020 100 200 300

Author Peers

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

Author Last Decade Papers Cites
Marian Makkar 374 292 111 84 65 17 627
Rama Yelkur 391 1.0× 273 0.9× 158 1.4× 61 0.7× 57 0.9× 24 580
Robert Harrison 258 0.7× 240 0.8× 120 1.1× 66 0.8× 72 1.1× 31 791
Natalia Mæhle 461 1.2× 301 1.0× 107 1.0× 80 1.0× 100 1.5× 32 783
Sujay Dutta 469 1.3× 272 0.9× 178 1.6× 100 1.2× 50 0.8× 20 688
Mansour Alyahya 259 0.7× 229 0.8× 104 0.9× 120 1.4× 59 0.9× 33 694
Darlene Brannigan Smith 361 1.0× 230 0.8× 91 0.8× 116 1.4× 29 0.4× 12 603
Ajay Kumar 491 1.3× 324 1.1× 174 1.6× 63 0.8× 55 0.8× 21 638
W.B. Joseph 416 1.1× 393 1.3× 186 1.7× 121 1.4× 44 0.7× 27 770
Natalia Yannopoulou 470 1.3× 439 1.5× 146 1.3× 124 1.5× 39 0.6× 29 790
Carolyn Costley 468 1.3× 339 1.2× 157 1.4× 86 1.0× 78 1.2× 20 711

Countries citing papers authored by Marian Makkar

Since Specialization
Citations

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

Fields of papers citing papers by Marian Makkar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Marian Makkar

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

All Works

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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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