Alexander Muk

541 total citations
10 papers, 398 citations indexed

About

Alexander Muk is a scholar working on Sociology and Political Science, Information Systems and Management and Marketing. According to data from OpenAlex, Alexander Muk has authored 10 papers receiving a total of 398 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Sociology and Political Science, 7 papers in Information Systems and Management and 4 papers in Marketing. Recurrent topics in Alexander Muk's work include Digital Marketing and Social Media (9 papers), Technology Adoption and User Behaviour (7 papers) and Consumer Behavior in Brand Consumption and Identification (4 papers). Alexander Muk is often cited by papers focused on Digital Marketing and Social Media (9 papers), Technology Adoption and User Behaviour (7 papers) and Consumer Behavior in Brand Consumption and Identification (4 papers). Alexander Muk collaborates with scholars based in United States and South Korea. Alexander Muk's co-authors include Christina Chung, Jong-Hoon Kim and En‐Chi Chang and has published in prestigious journals such as Journal of Business Research, Public Relations Review and International Journal of Advertising.

In The Last Decade

Alexander Muk

10 papers receiving 358 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Alexander Muk United States	8	300	241	167	63	32	10	398
Loredana Di Pietro Italy	8	318 1.1×	161 0.7×	189 1.1×	64 1.0×	25 0.8×	18	437
Kyesook Han South Korea	3	281 0.9×	183 0.8×	175 1.0×	109 1.7×	25 0.8×	6	394
Ralph Keng-Jung Yeh Taiwan	7	273 0.9×	208 0.9×	131 0.8×	77 1.2×	13 0.4×	9	364
John T. Gironda United States	12	289 1.0×	138 0.6×	184 1.1×	60 1.0×	32 1.0×	23	411
Naser Pourazad Australia	9	205 0.7×	126 0.5×	198 1.2×	78 1.2×	41 1.3×	18	353
Li Wen-Lu China	2	351 1.2×	225 0.9×	266 1.6×	118 1.9×	34 1.1×	2	454
Julia Wolny United Kingdom	4	260 0.9×	131 0.5×	250 1.5×	80 1.3×	25 0.8×	7	396
Leora Kornfeld Canada	5	212 0.7×	84 0.3×	151 0.9×	53 0.8×	30 0.9×	15	288
Ray L. Benedicktus United States	7	278 0.9×	157 0.7×	255 1.5×	156 2.5×	29 0.9×	7	457
JungJoo Jahng South Korea	8	172 0.6×	191 0.8×	101 0.6×	90 1.4×	35 1.1×	23	336

Countries citing papers authored by Alexander Muk

Since Specialization

Citations

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

Fields of papers citing papers by Alexander Muk

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Alexander Muk

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

All Works

Sort: Min cites: Since: Top N: Style:

10 of 10 papers shown

1.

Muk, Alexander, Christina Chung, & En‐Chi Chang. (2016). The Effects of Comparative Advertising on Young Consumers’ Perceptions: Cross-Cultural Comparison Between the United States and Taiwan. Journal of Promotion Management. 23(1). 100–122. 6 indexed citations

2.

Muk, Alexander, Christina Chung, & Jong-Hoon Kim. (2014). Korean consumer perspectives on social media advertising and intention to join brand pages. Journal of Global Scholars of Marketing Science. 24(4). 384–394. 17 indexed citations

3.

Muk, Alexander & Christina Chung. (2014). Driving Consumers to Become Fans of Brand Pages: A Theoretical Framework. Journal of Interactive Advertising. 14(1). 1–10. 34 indexed citations

4.

Muk, Alexander & Christina Chung. (2014). Applying the technology acceptance model in a two-country study of SMS advertising. Journal of Business Research. 68(1). 1–6. 167 indexed citations

5.

Muk, Alexander, Christina Chung, & Jong-Hoon Kim. (2014). A Cross-National Study of the Influence of Individualism and Collectivism on Liking Brand Pages. Journal of International Consumer Marketing. 26(2). 122–137. 10 indexed citations

6.

Muk, Alexander. (2013). What factors influence millennials to like brand pages?. Journal of Marketing Analytics. 1(3). 127–137. 19 indexed citations

7.

Muk, Alexander. (2012). Perceptions of mobile coupons: A cross-national study. Journal of Direct Data and Digital Marketing Practice. 13(4). 311–324. 12 indexed citations

8.

Muk, Alexander. (2012). Public relations functions: Perspective from a Japanese corporation. Public Relations Review. 38(1). 137–140. 4 indexed citations

9.

Muk, Alexander. (2007). Consumers’ intentions to opt in to SMS advertising. International Journal of Advertising. 26(2). 177–198. 95 indexed citations

10.

Muk, Alexander. (2007). Cultural influences on adoption of SMS advertising: A study of American and Taiwanese consumers. Journal of Targeting Measurement and Analysis for Marketing. 16(1). 39–47. 34 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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