Muhammad Naeem

4.1k total citations · 3 hit papers
49 papers, 2.2k citations indexed

About

Muhammad Naeem is a scholar working on Sociology and Political Science, Information Systems and Management and Marketing. According to data from OpenAlex, Muhammad Naeem has authored 49 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Sociology and Political Science, 12 papers in Information Systems and Management and 10 papers in Marketing. Recurrent topics in Muhammad Naeem's work include Digital Marketing and Social Media (21 papers), Technology Adoption and User Behaviour (12 papers) and Consumer Behavior in Brand Consumption and Identification (8 papers). Muhammad Naeem is often cited by papers focused on Digital Marketing and Social Media (21 papers), Technology Adoption and User Behaviour (12 papers) and Consumer Behavior in Brand Consumption and Identification (8 papers). Muhammad Naeem collaborates with scholars based in United Kingdom, United States and Italy. Muhammad Naeem's co-authors include Wilson Ozuem, Kerry E. Howell, Silvia Ranfagni, Gert Pfurtscheller, Clemens Brunner, C. Brunner, G. Pfurtscheller, B. Graimann, R. Leeb and Girijesh Prasad and has published in prestigious journals such as NeuroImage, Computers in Human Behavior and Journal of Medical Internet Research.

In The Last Decade

Muhammad Naeem

46 papers receiving 2.1k citations

Hit Papers

A Step-by-Step Process of... 2020 2026 2022 2024 2023 2020 2024 100 200 300 400

Author Peers

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

Author Last Decade Papers Cites
Muhammad Naeem 613 577 441 301 221 49 2.2k
Xingyu Wang 343 0.6× 121 0.2× 137 0.3× 245 0.8× 74 0.3× 58 1.7k
Daisy Mui Hung Kee 552 0.9× 639 1.1× 925 2.1× 332 1.1× 250 1.1× 343 3.9k
Jacquelyn Burkell 919 1.5× 935 1.6× 159 0.4× 59 0.2× 271 1.2× 87 2.8k
Pam Briggs 1.3k 2.2× 212 0.4× 154 0.3× 55 0.2× 364 1.6× 163 3.6k
Maarten W. Bos 731 1.2× 813 1.4× 223 0.5× 104 0.3× 184 0.8× 44 2.5k
Michael D. Coovert 481 0.8× 273 0.5× 286 0.6× 170 0.6× 156 0.7× 92 3.1k
Gideon Keren 501 0.8× 777 1.3× 109 0.2× 585 1.9× 51 0.2× 71 3.2k
Jon D. Morris 545 0.9× 329 0.6× 750 1.7× 50 0.2× 128 0.6× 31 1.6k
Ale Smidts 1.1k 1.8× 1.1k 1.8× 1.0k 2.3× 336 1.1× 262 1.2× 88 4.4k
Magda Osman 412 0.7× 610 1.1× 100 0.2× 115 0.4× 47 0.2× 129 2.3k

Countries citing papers authored by Muhammad Naeem

Since Specialization
Citations

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

Fields of papers citing papers by Muhammad Naeem

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Muhammad Naeem

This figure shows the co-authorship network connecting the top 25 collaborators of Muhammad Naeem. A scholar is included among the top collaborators of Muhammad Naeem 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 Muhammad Naeem. Muhammad Naeem 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
1.
Naeem, Muhammad. (2025). Emerging trends in global E-retailing: exploring the dark side of scan and go in-store technologies in consumer shopping journeys. International Marketing Review. 42(2-3). 249–282. 2 indexed citations
2.
Naeem, Muhammad, et al.. (2025). User Generated Content and Brand Engagement: Exploring the role of electronic semiotics and symbolic interactionism on Instagram. Computers in Human Behavior. 168. 108642–108642. 2 indexed citations
3.
Naeem, Muhammad & Wilson Ozuem. (2025). Understanding Social Motivation in Scan and Go Technology. Journal of Computer Information Systems. 1–18. 1 indexed citations
4.
Naeem, Muhammad, et al.. (2025). Thematic Analysis and Artificial Intelligence: A Step-by-Step Process for Using ChatGPT in Thematic Analysis. International Journal of Qualitative Methods. 24. 4 indexed citations
5.
Naeem, Muhammad, Wilson Ozuem, Kerry E. Howell, & Silvia Ranfagni. (2024). The conceptualization of enablers and constraints of in‐store buying as part of the affordances flow funnel process through scan and go apps. Psychology and Marketing. 41(5). 1060–1081. 3 indexed citations
6.
Naeem, Muhammad, Wilson Ozuem, Kerry E. Howell, & Silvia Ranfagni. (2023). A Step-by-Step Process of Thematic Analysis to Develop a Conceptual Model in Qualitative Research. International Journal of Qualitative Methods. 22. 486 indexed citations breakdown →
7.
Naeem, Muhammad, Wilson Ozuem, & Philippa Ward. (2022). Understanding the accessibility of retail mobile banking during the COVID-19 pandemic. International Journal of Retail & Distribution Management. 50(7). 860–879. 26 indexed citations
8.
Naeem, Muhammad, Wilson Ozuem, Kerry E. Howell, & Silvia Ranfagni. (2022). Understanding the process of meanings, materials, and competencies in adoption of mobile banking. Electronic Markets. 32(4). 2445–2469. 8 indexed citations
9.
Naeem, Muhammad & Wilson Ozuem. (2021). Understanding misinformation and rumors that generated panic buying as a social practice during COVID-19 pandemic: evidence from Twitter, YouTube and focus group interviews. Information Technology and People. 35(7). 2140–2166. 47 indexed citations
10.
Naeem, Muhammad & Wilson Ozuem. (2021). Customers' social interactions and panic buying behavior: Insights from social media practices. Journal of Consumer Behaviour. 20(5). 1191–1203. 51 indexed citations
11.
Dailah, Hamad Ghaleb & Muhammad Naeem. (2021). A Social Media Organizational Productivity Model: Insights From Public Health Professionals. Journal of Medical Internet Research. 23(5). e23792–e23792. 5 indexed citations
12.
Naeem, Muhammad & Wilson Ozuem. (2020). Developing UGC social brand engagement model: Insights from diverse consumers. Journal of Consumer Behaviour. 20(2). 426–439. 28 indexed citations
13.
Naeem, Muhammad, et al.. (2020). Facilitators, challenges and usefulness of an asthma educational programme. Health Education Journal. 80(5). 611–622. 1 indexed citations
14.
Naeem, Muhammad, et al.. (2014). Women's Empowerment in Local Government System of Pakistan: A Case Study of Musharaf Era. Asian journal of social sciences & humanities. 3(3). 112–117.
15.
Youssofzadeh, Vahab, Damiano Zanotto, Paul Stegall, et al.. (2014). Directed neural connectivity changes in robot-assisted gait training: A partial Granger causality analysis. PubMed. 2014. 6361–6364. 11 indexed citations
16.
Naeem, Muhammad, et al.. (2013). Integrating Knowledge Management with Business Intelligence Processes for Enhanced Organizational Learning. International Journal of Software Engineering and Its Applications. 7(2). 83–92. 41 indexed citations
17.
Naeem, Muhammad, Girijesh Prasad, David R. Watson, & J. A. Scott Kelso. (2012). Functional dissociation of brain rhythms in social coordination. Clinical Neurophysiology. 123(9). 1789–1797. 42 indexed citations
18.
Naeem, Muhammad, Clemens Brunner, & Gert Pfurtscheller. (2009). Dimensionality Reduction and Channel Selection of Motor Imagery Electroencephalographic Data. Computational Intelligence and Neuroscience. 2009(1). 537504–537504. 51 indexed citations
19.
Brunner, Clemens, Muhammad Naeem, Robert Leeb, Bernhard Graimann, & Gert Pfurtscheller. (2007). Spatial filtering and selection of optimized components in four class motor imagery EEG data using independent components analysis. Pattern Recognition Letters. 28(8). 957–964. 140 indexed citations
20.
Naeem, Muhammad, C. Brunner, R. Leeb, B. Graimann, & G. Pfurtscheller. (2006). Seperability of four-class motor imagery data using independent components analysis. Journal of Neural Engineering. 3(3). 208–216. 222 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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