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, Clemens Brunner, Gert Pfurtscheller, B. Graimann, G. Pfurtscheller, R. Leeb, C. Brunner 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

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

A Step-by-Step Process of Thematic Analysis to Develop a Conceptual Model in Qualitative Research

2023 486 citations Muhammad Naeem, Wilson Ozuem et al. International Journal of Qualitative Methods profile →
Do social media platforms develop consumer panic buying during the fear of Covid-19 pandemic

2020 274 citations Muhammad Naeem profile →
Demystification and Actualisation of Data Saturation in Qualitative Research Through Thematic Analysis

2024 69 citations Muhammad Naeem, Wilson Ozuem et al. International Journal of Qualitative Methods profile →

Peers

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

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20 of 20 papers shown

#	Work	Indexed citations
1	Emerging trends in global E-retailing: exploring the dark side of scan and go in-store technologies in consumer shopping journeys 2025 ·International Marketing Review ·Muhammad Naeem	2
2	User Generated Content and Brand Engagement: Exploring the role of electronic semiotics and symbolic interactionism on Instagram 2025 ·Computers in Human Behavior ·Muhammad Naeem, Wilson Ozuem, Silvia Ranfagni, (unknown)	2
3	Thematic Analysis and Artificial Intelligence: A Step-by-Step Process for Using ChatGPT in Thematic Analysis 2025 ·International Journal of Qualitative Methods ·Muhammad Naeem, Tracy Smith, (unknown)	4
4	Understanding Social Motivation in Scan and Go Technology 2025 ·Journal of Computer Information Systems ·Muhammad Naeem, Wilson Ozuem	1
5	The conceptualization of enablers and constraints of in‐store buying as part of the affordances flow funnel process through scan and go apps 2024 ·Psychology and Marketing ·Muhammad Naeem, Wilson Ozuem, Kerry E. Howell, Silvia Ranfagni	3
6	A Step-by-Step Process of Thematic Analysis to Develop a Conceptual Model in Qualitative Research breakdown → 2023 ·International Journal of Qualitative Methods ·Muhammad Naeem, Wilson Ozuem, Kerry E. Howell, Silvia Ranfagni	486
7	Understanding the accessibility of retail mobile banking during the COVID-19 pandemic 2022 ·International Journal of Retail & Distribution Management ·Muhammad Naeem, Wilson Ozuem, Philippa Ward	26
8	Understanding the process of meanings, materials, and competencies in adoption of mobile banking 2022 ·Electronic Markets ·Muhammad Naeem, Wilson Ozuem, Kerry E. Howell, Silvia Ranfagni	8
9	Understanding misinformation and rumors that generated panic buying as a social practice during COVID-19 pandemic: evidence from Twitter, YouTube and focus group interviews 2021 ·Information Technology and People ·Muhammad Naeem, Wilson Ozuem	47
10	Customers' social interactions and panic buying behavior: Insights from social media practices 2021 ·Journal of Consumer Behaviour ·Muhammad Naeem, Wilson Ozuem	51
11	A Social Media Organizational Productivity Model: Insights From Public Health Professionals 2021 ·Journal of Medical Internet Research ·Hamad Ghaleb Dailah, Muhammad Naeem	5
12	Exploring the use of social media sites for health professionals' engagement and productivity in public sector hospitals 2021 ·Employee Relations ·Muhammad Naeem, Wilson Ozuem	17
13	Developing UGC social brand engagement model: Insights from diverse consumers 2020 ·Journal of Consumer Behaviour ·Muhammad Naeem, Wilson Ozuem	28
14	Facilitators, challenges and usefulness of an asthma educational programme 2020 ·Health Education Journal ·Muhammad Naeem, (unknown)	1
15	Women's Empowerment in Local Government System of Pakistan: A Case Study of Musharaf Era 2014 ·Asian journal of social sciences & humanities ·(unknown), (unknown), Muhammad Naeem	0
16	Directed neural connectivity changes in robot-assisted gait training: A partial Granger causality analysis 2014 ·PubMed ·Vahab Youssofzadeh, Damiano Zanotto, Paul Stegall, Muhammad Naeem, KongFatt Wong‐Lin, Sunil K. Agrawal, Girijesh Prasad	11
17	Integrating Knowledge Management with Business Intelligence Processes for Enhanced Organizational Learning 2013 ·International Journal of Software Engineering and Its Applications ·(unknown), Muhammad Naeem, (unknown), Shaheed Zulfikar, Ali Bhutto	41
18	Functional dissociation of brain rhythms in social coordination 2012 ·Clinical Neurophysiology ·Muhammad Naeem, Girijesh Prasad, David R. Watson, J. A. Scott Kelso	42
19	Dimensionality Reduction and Channel Selection of Motor Imagery Electroencephalographic Data 2009 ·Computational Intelligence and Neuroscience ·Muhammad Naeem, Clemens Brunner, Gert Pfurtscheller	51
20	Seperability of four-class motor imagery data using independent components analysis 2006 ·Journal of Neural Engineering ·Muhammad Naeem, C. Brunner, R. Leeb, B. Graimann, G. Pfurtscheller	222

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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