Muhammad Tahir
- Sociology and Political Science top 10%
- Artificial Intelligence top 10%
- Information Systems and Management top 5%
- Marketing top 10%
- Information Systems top 10%
- Co-authors
- Atika QaziRam Gopal RajErik CambriaDaniyal AlghazzawiFanchen MengAli RazaMuhammad FarrukhSaif Ur Rehman Khan
- Topics
- Digital Marketing and Social Media (6 papers)Sentiment Analysis and Opinion Mining (4 papers)Human-Automation Interaction and Safety (3 papers)
- Partner nations
- PakistanMalaysiaSaudi Arabia
In The Last Decade
Muhammad Tahir
21 papers receiving 326 citations
Peers
Comparison fields: 5 of 81
- Sociology and Political Science 174
- Artificial Intelligence 133
- Information Systems and Management 67
- Marketing 60
- Information Systems 53
Countries citing papers authored by Muhammad Tahir
This map shows the geographic impact of Muhammad Tahir'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 Tahir with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Muhammad Tahir more than expected).
Fields of papers citing papers by Muhammad Tahir
This network shows the impact of papers produced by Muhammad Tahir. 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 Tahir. The network helps show where Muhammad Tahir may publish in the future.
Co-authorship network of co-authors of Muhammad Tahir
This figure shows the co-authorship network connecting the top 25 collaborators of Muhammad Tahir. A scholar is included among the top collaborators of Muhammad Tahir 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 Tahir. Muhammad Tahir is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 4 | |
| 3 | 2 | |
| 4 | 67 | |
| 5 | Conceptualizing the Development of Personality in Children: An Analysis of Islamic Philosophy and Contemporary Western Psychology | 4 |
| 6 | 3 | |
| 7 | 5 | |
| 8 | 8 | |
| 9 | 5 | |
| 10 | 3 | |
| 11 | 137 | |
| 12 | 6 | |
| 13 | 1 | |
| 14 | 45 | |
| 15 | 15 | |
| 16 | 1 | |
| 17 | 2 | |
| 18 | 3 | |
| 19 | 3 | |
| 20 | 1 |
About Muhammad Tahir
Muhammad Tahir is a scholar working on Human-Computer Interaction, Music and Information Systems and Management, having authored 21 papers that have together received 344 indexed citations. Recurring topics across this work include Digital Marketing and Social Media (6 papers), Sentiment Analysis and Opinion Mining (4 papers) and Human-Automation Interaction and Safety (3 papers). The work is most often cited by research in Information Systems and Management (67 citations), Marketing (60 citations) and Artificial Intelligence (133 citations). Muhammad Tahir has collaborated with scholars based in Pakistan, Malaysia and Saudi Arabia. Frequent co-authors include Atika Qazi, Ram Gopal Raj, Erik Cambria, Daniyal Alghazzawi, Fanchen Meng, Ali Raza, Muhammad Farrukh, Saif Ur Rehman Khan, Ajith Abraham and Azra Shamim. Their work appears in journals such as Computers in Human Behavior, Sustainable Development and Behaviour and Information Technology.
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.