Md. Mostafizer Rahman

1.7k citations
28 papers · 842 indexed · 1 hit paper · h-index 11

Md. Mostafizer Rahman

24 papers receiving 796 citations

Hit Papers

ChatGPT for Education and Research: Opportunities, Threat...4962023202620242025100200300400

Peers

Md. Mostafizer Rahman
Comparison fields: 5 of 89
  • Health Informatics 298
  • Computer Science Applications 272
  • Software 67
  • Artificial Intelligence 351
  • Information Systems 198
Replace Xiaoyuan Yi with:
Xiaoyuan Yi China
David Alonso-Ríos Spain
Álvaro Figueira Portugal
Gagan Bansal United States
Emily Reif United States
Konstantinos I. Roumeliotis Greece
Amir Pouran Ben Veyseh United States
Lakshmana Kumar Ramasamy India
Muhammad Wasif Nisar Pakistan
Zhuosheng Zhang China
Md. Mostafizer Rahman relative to Xiaoyuan Yi China Xiaoyuan Yi's profile →
Citations per field
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Xiaoyuan Yi · 1×
Citations per year

Countries citing papers authored by Md. Mostafizer Rahman

Since Specialization
Citations

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

Fields of papers citing papers by Md. Mostafizer Rahman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Md. Mostafizer Rahman. 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 Md. Mostafizer Rahman. The network helps show where Md. Mostafizer Rahman may publish in the future.

Co-authorship network

The 17 scholars most cited alongside Md. Mostafizer Rahman, 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 Md. Mostafizer Rahman Line = papers co-authored together Md. Mostafizer Rahman links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20250
2 20250
3 20257
4 20252
5 20240
6 20242
7 20245
8 20243
9 20235
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ChatGPT for Education and Research: Opportunities, Threats, and Strategiesbreakdown →
2023496
11 202312
12 20224
13 202218
14 202214
15 20212
16 20210
17 202122
18 202052
19 202026
20 201238

About Md. Mostafizer Rahman

Md. Mostafizer Rahman is a scholar working on Software, Computer Science Applications and Health Informatics, having authored 28 papers that have together received 842 indexed citations. Recurring topics across this work include Software Engineering Research (12 papers), Software Testing and Debugging Techniques (9 papers), Online Learning and Analytics (7 papers), Advanced Malware Detection Techniques (6 papers), Teaching and Learning Programming (4 papers), Software Reliability and Analysis Research (3 papers), Sentiment Analysis and Opinion Mining (2 papers) and Explainable Artificial Intelligence (XAI) (2 papers). The work is most often cited by research in Health Informatics (298 citations), Computer Science Applications (272 citations) and Software (67 citations). Md. Mostafizer Rahman has collaborated with scholars based in Japan, Bangladesh and United States. Frequent co-authors include Yutaka Watanobe, Keita Nakamura, R. Uday Kiran, Md. Nasim Akhtar, Incheon Paik, Truong Cong Thang, Md. Rashedul Islam, Keitaro Naruse, Md Ashad Alam and Md. Ahsan Habib.

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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