Muhammad Rafi

676 citations
46 papers · 443 · h-index 12

Impact in

Papers in

Muhammad Rafi

37 papers receiving 403 citations

Peers

Muhammad Rafi
Comparison fields: 5 of 75
  • Library and Information Sciences 49
  • Information Systems and Management 124
  • Management Information Systems 91
  • Computer Science Applications 41
  • Information Systems 160
Replace Mabel K. Minishi-Majanja with:
Mabel K. Minishi-Majanja South Africa
Brendan E. Asogwa Nigeria
Margam Madhusudhan India
Eileen G. Abels United States
Ethel Auster Canada
Martha Kyrillidou United States
Namjoo Choi United States
Ellen Altman United States
Qinjian Yuan China
Ronald C. Jantz United States
Muhammad Rafi relative to Mabel K. Minishi-Majanja South Africa Mabel K. Minishi-Majanja's profile →
Citations per field
00.5×8.5×
Mabel K. Minishi-Majanja · 1×
Citations per year

Countries citing papers authored by Muhammad Rafi

Since Specialization
Citations

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

Fields of papers citing papers by Muhammad Rafi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 16 scholars most cited alongside Muhammad Rafi, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Muhammad Rafi Line = papers co-authored together Muhammad Rafi links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 46 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201992
2 201945
3 201830
4 201828
5 202225
6 201924
7 202022
8 202020
9 202019
10 201817
11 201916
12 202211
13 201810
14 202010
15 202010
16 20199
17 20219
18 20205
19 20204
20 20204

About Muhammad Rafi

Muhammad Rafi is a scholar working on Information Systems, Information Systems and Management, Management Information Systems, Education and Sociology and Political Science, having authored 46 papers that have together received 443 indexed citations. Recurring topics across this work include Technology Adoption and User Behaviour (11 papers), Big Data and Business Intelligence (8 papers), Educational Methods and Media Use (6 papers), Data Quality and Management (5 papers), English Language Learning and Teaching (4 papers), Islamic Finance and Communication (4 papers), Technology-Enhanced Education Studies (4 papers) and Knowledge Management and Sharing (4 papers). The work is most often cited by research in Library and Information Sciences (49 citations), Information Systems and Management (124 citations), Management Information Systems (91 citations), Computer Science Applications (41 citations) and Information Systems (160 citations). Muhammad Rafi has collaborated with scholars based in China, Indonesia and Pakistan. Frequent co-authors include Khurshid Ahmad, Jianming Zheng, Asad Ullah Khan, A.Y.M. Atiquil Islam, Zhiqiang Zhang, Arslan Sheikh, Salman Bin Naeem, Efendi Efendi, Darwin Lie and Sri Rahayu. Their work appears in journals such as Performance Measurement and Metrics, Library Hi Tech, The Bottom Line Managing Library Finances, Digital Library Perspectives and Libri.

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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