Giada Mainolfi

43 total papers · 650 total citations
25 papers, 476 citations indexed

About

Giada Mainolfi is a scholar working on Marketing, Sociology and Political Science and Economics and Econometrics. According to data from OpenAlex, Giada Mainolfi has authored 25 papers receiving a total of 476 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Marketing, 9 papers in Sociology and Political Science and 6 papers in Economics and Econometrics. Recurrent topics in Giada Mainolfi's work include Consumer Behavior in Brand Consumption and Identification (8 papers), Management, Economics, and Public Policy (7 papers) and Digital Marketing and Social Media (6 papers). Giada Mainolfi is often cited by papers focused on Consumer Behavior in Brand Consumption and Identification (8 papers), Management, Economics, and Public Policy (7 papers) and Digital Marketing and Social Media (6 papers). Giada Mainolfi collaborates with scholars based in Italy and France. Giada Mainolfi's co-authors include Vittoria Marino, Maria Rosaria Napolitano, Alessandro De Nisco, Letizia Lo Presti, Raffaele Filieri, Riccardo Resciniti, Giuseppe Festa, Statia Elliot, Carmen Gallucci and Rosa Lombardi and has published in prestigious journals such as Journal of Business Research, Psychology and Marketing and European Management Journal.

In The Last Decade

Giada Mainolfi

20 papers receiving 449 citations

Author Peers

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

Author Last Decade Papers Cites
Giada Mainolfi 379 261 86 50 44 25 476
Noppadol Manosuthi 308 0.8× 209 0.8× 99 1.2× 41 0.8× 47 1.1× 23 479
GuoQiong Ivanka Huang 316 0.8× 255 1.0× 144 1.7× 44 0.9× 42 1.0× 25 481
Kwangsoo Park 388 1.0× 173 0.7× 65 0.8× 61 1.2× 51 1.2× 28 537
Tran Trung Vinh 400 1.1× 252 1.0× 168 2.0× 31 0.6× 45 1.0× 23 528
Ann Suwaree Ashton 283 0.7× 153 0.6× 121 1.4× 59 1.2× 30 0.7× 21 473
Ciná Van Zyl 467 1.2× 180 0.7× 73 0.8× 56 1.1× 84 1.9× 30 547
Abdullah Uslu 333 0.9× 157 0.6× 113 1.3× 47 0.9× 27 0.6× 49 460
Xiaorong Fu 292 0.8× 207 0.8× 91 1.1× 30 0.6× 57 1.3× 15 437
Vidya Patwardhan 335 0.9× 124 0.5× 97 1.1× 65 1.3× 19 0.4× 20 457
Xuan Lorna Wang 214 0.6× 250 1.0× 162 1.9× 28 0.6× 35 0.8× 17 474

Countries citing papers authored by Giada Mainolfi

Since Specialization
Citations

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

Fields of papers citing papers by Giada Mainolfi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Giada Mainolfi

This figure shows the co-authorship network connecting the top 25 collaborators of Giada Mainolfi. A scholar is included among the top collaborators of Giada Mainolfi 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 Giada Mainolfi. Giada Mainolfi 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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