Sofianita Mutalib
Impact in
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- Artificial Intelligence in Healthcare
- Computer Science Applications top 10%
- Online Learning and Analytics
Papers in
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- Sentiment Analysis and Opinion Mining 6
- Imbalanced Data Classification Techniques 4
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- Data Mining Algorithms and Applications 7
- Co-authors
- Shuzlina Abdul-Rahman (52 shared papers)Azlinah Mohamed (22 shared papers)Norazian Mohamed Noor (2 shared papers)Ahmad Zia Ul–Saufie (2 shared papers)Azlan Ismail (2 shared papers)Nasiroh Omar (2 shared papers)I Ibrahim (1 shared paper)Shamsul Jamel Elias (1 shared paper)
In The Last Decade
Sofianita Mutalib
67 papers receiving 404 citations
Peers
Comparison fields: 5 of 98
- Health Information Management 35
- Computer Science Applications 44
- Computer Vision and Pattern Recognition 76
- Information Systems 77
- Artificial Intelligence 107
Countries citing papers authored by Sofianita Mutalib
This map shows the geographic impact of Sofianita Mutalib'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 Sofianita Mutalib with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sofianita Mutalib more than expected).
Fields of papers citing papers by Sofianita Mutalib
This network shows the impact of papers produced by Sofianita Mutalib. 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 Sofianita Mutalib. The network helps show where Sofianita Mutalib may publish in the future.
Co-authors
The 12 scholars most cited alongside Sofianita Mutalib, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 74 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2022 | 37 | |
| 2 | 2019 | 30 | |
| 3 | 2022 | 27 | |
| 4 | 2020 | 23 | |
| 5 | 2021 | 20 | |
| 6 | 2020 | 19 | |
| 7 | 2019 | 17 | |
| 8 | 2008 | 14 | |
| 9 | 2020 | 14 | |
| 10 | 2016 | 13 | |
| 11 | 2012 | 12 | |
| 12 | 2019 | 11 | |
| 13 | 2010 | 11 | |
| 14 | 2023 | 9 | |
| 15 | 2024 | 9 | |
| 16 | 2022 | 8 | |
| 17 | 2024 | 7 | |
| 18 | 2019 | 7 | |
| 19 | 2013 | 7 | |
| 20 | 2021 | 7 |
About Sofianita Mutalib
Sofianita Mutalib is a scholar working on Artificial Intelligence, Information Systems, Computer Vision and Pattern Recognition, Sociology and Political Science and Health Information Management, having authored 74 papers that have together received 439 indexed citations. Recurring topics across this work include Artificial Intelligence in Healthcare (7 papers), Data Mining Algorithms and Applications (7 papers), Vehicle License Plate Recognition (6 papers), Sentiment Analysis and Opinion Mining (6 papers), Smart Agriculture and AI (5 papers), Handwritten Text Recognition Techniques (4 papers), Stock Market Forecasting Methods (4 papers) and Imbalanced Data Classification Techniques (4 papers). The work is most often cited by research in Health Information Management (35 citations), Computer Science Applications (44 citations), Computer Vision and Pattern Recognition (76 citations), Information Systems (77 citations) and Artificial Intelligence (107 citations). Sofianita Mutalib has collaborated with scholars based in Malaysia, Indonesia and Oman. Frequent co-authors include Shuzlina Abdul-Rahman, Azlinah Mohamed, Norazian Mohamed Noor, Ahmad Zia Ul–Saufie, Azlan Ismail, Nasiroh Omar, I Ibrahim, Shamsul Jamel Elias, Haryani Haron and Norlaila Mustafa. Their work appears in journals such as Expert Systems with Applications, IEEE Access, Social Network Analysis and Mining, Atmosphere and Education and Information Technologies.
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.