Idris Rabiu
Impact in
- Information Systems top 5%
- Recommender Systems and Techniques
- Artificial Intelligence top 10%
- Sentiment Analysis and Opinion Mining
- Advanced Text Analysis Techniques
- Topic Modeling
Papers in
-
- Recommender Systems and Techniques 7
- Expert finding and Q&A systems 2
-
- Sentiment Analysis and Opinion Mining 4
- Topic Modeling 3
- Data Stream Mining Techniques 2
- Co-authors
- Naomie Salim (12 shared papers)Aminu Da’u (8 shared papers)Yun Hin Taufiq‐Yap (1 shared paper)Siow Hwa Teo (1 shared paper)Nasar Mansir (1 shared paper)Maged Nasser (6 shared papers)Faisal Saeed (3 shared papers)Shadi Basurra (1 shared paper)
- Journals
- Expert Systems with Applications (2 papers)Information Sciences (1 paper)Knowledge-Based Systems (1 paper)Molecules (1 paper)Applied Sciences (1 paper)
- Partner nations
- MalaysiaNigeriaSaudi Arabia
In The Last Decade
Idris Rabiu
15 papers receiving 394 citations
Peers
Comparison fields: 5 of 70
- Information Systems 178
- Artificial Intelligence 189
- Computer Vision and Pattern Recognition 47
- Management Science and Operations Research 28
- Biomedical Engineering 96
Countries citing papers authored by Idris Rabiu
This map shows the geographic impact of Idris Rabiu'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 Idris Rabiu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Idris Rabiu more than expected).
Fields of papers citing papers by Idris Rabiu
This network shows the impact of papers produced by Idris Rabiu. 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 Idris Rabiu. The network helps show where Idris Rabiu may publish in the future.
Co-authors
The 12 scholars most cited alongside Idris Rabiu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 105 | |
| 2 | 2018 | 100 | |
| 3 | 2019 | 72 | |
| 4 | 2020 | 33 | |
| 5 | 2020 | 30 | |
| 6 | 2020 | 18 | |
| 7 | 2021 | 15 | |
| 8 | 2022 | 10 | |
| 9 | 2021 | 8 | |
| 10 | 2020 | 5 | |
| 11 | 2020 | 4 | |
| 12 | TEXTUAL AND STRUCTURAL APPROACHES TO DETECTING FIGURE PLAGIARISM IN SCIENTIFIC PUBLICATIONS | 2014 | 2 |
| 13 | 2023 | 1 | |
| 14 | 2017 | 1 | |
| 15 | 2022 | 1 | |
| 16 | 2017 | 1 | |
| 17 | 2024 | 0 |
About Idris Rabiu
Idris Rabiu is a scholar working on Information Systems, Artificial Intelligence, Computer Networks and Communications, Computational Theory and Mathematics and Materials Chemistry, having authored 17 papers that have together received 406 indexed citations. Recurring topics across this work include Recommender Systems and Techniques (7 papers), Sentiment Analysis and Opinion Mining (4 papers), Computational Drug Discovery Methods (3 papers), Machine Learning in Materials Science (3 papers), Topic Modeling (3 papers), Data Stream Mining Techniques (2 papers), Expert finding and Q&A systems (2 papers) and Optimization and Packing Problems (1 paper). The work is most often cited by research in Information Systems (178 citations), Artificial Intelligence (189 citations), Computer Vision and Pattern Recognition (47 citations), Management Science and Operations Research (28 citations) and Biomedical Engineering (96 citations). Idris Rabiu has collaborated with scholars based in Malaysia, Nigeria and Saudi Arabia. Frequent co-authors include Naomie Salim, Aminu Da’u, Yun Hin Taufiq‐Yap, Siow Hwa Teo, Nasar Mansir, Maged Nasser, Faisal Saeed, Shadi Basurra, Muaadh A. Alsoufi and Ibrahim Abdullahi. Their work appears in journals such as Expert Systems with Applications, Information Sciences, Knowledge-Based Systems, Molecules and Applied Sciences.
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.