Mohammed Albared
Impact in
- Artificial Intelligence top 5%
- Sentiment Analysis and Opinion Mining
- Advanced Text Analysis Techniques
- Topic Modeling
- Text and Document Classification Technologies
- Natural Language Processing Techniques
- Information Systems top 10%
- Spam and Phishing Detection
- Web Data Mining and Analysis
Papers in
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- Text and Document Classification Technologies 11
- Topic Modeling 10
- Natural Language Processing Techniques 7
- Advanced Text Analysis Techniques 6
- Sentiment Analysis and Opinion Mining 5
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- Spam and Phishing Detection 1
- Co-authors
- Nazlia Omar (11 shared papers)Tareq Al-Moslmi (6 shared papers)Salwani Abdullah (4 shared papers)Sabrina Tiun (3 shared papers)Suryanti Awang (1 shared paper)Tao Hai (1 shared paper)Fadl Mutaher Ba-Alwi (5 shared papers)Mohd Juzaiddin Ab Aziz (1 shared paper)
In The Last Decade
Mohammed Albared
17 papers receiving 280 citations
Peers
Comparison fields: 5 of 53
- Artificial Intelligence 250
- Information Systems 75
- General Social Sciences 10
- Management Science and Operations Research 11
- Space and Planetary Science 1
Countries citing papers authored by Mohammed Albared
This map shows the geographic impact of Mohammed Albared'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 Mohammed Albared with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mohammed Albared more than expected).
Fields of papers citing papers by Mohammed Albared
This network shows the impact of papers produced by Mohammed Albared. 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 Mohammed Albared. The network helps show where Mohammed Albared may publish in the future.
Co-authors
The 8 scholars most cited alongside Mohammed Albared, 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 | 2017 | 95 | |
| 2 | 2017 | 79 | |
| 3 | 2018 | 34 | |
| 4 | 2013 | 24 | |
| 5 | Feature selection method based on statistics of compound words for Arabic text classification | 2019 | 12 |
| 6 | Arabic term extraction using combined approach on Islamic document | 2013 | 9 |
| 7 | 2019 | 7 | |
| 8 | 2019 | 7 | |
| 9 | 2009 | 7 | |
| 10 | K-MEANS BASED ALGORITHM FOR ISLAMIC DOCUMENT CLUSTERING | 2014 | 5 |
| 11 | 2012 | 4 | |
| 12 | 2016 | 3 | |
| 13 | 2019 | 2 | |
| 14 | 2016 | 2 | |
| 15 | 2015 | 2 | |
| 16 | 2019 | 1 | |
| 17 | 2017 | 1 | |
| 18 | 2025 | 0 | |
| 19 | 2023 | 0 |
About Mohammed Albared
Mohammed Albared is a scholar working on Artificial Intelligence, Information Systems, Computer Vision and Pattern Recognition, Language and Linguistics and Management Science and Operations Research, having authored 19 papers that have together received 294 indexed citations. Recurring topics across this work include Text and Document Classification Technologies (11 papers), Topic Modeling (10 papers), Natural Language Processing Techniques (7 papers), Advanced Text Analysis Techniques (6 papers), Sentiment Analysis and Opinion Mining (5 papers), Hydrology and Watershed Management Studies (1 paper), Spam and Phishing Detection (1 paper) and Lexicography and Language Studies (1 paper). The work is most often cited by research in Artificial Intelligence (250 citations), Information Systems (75 citations), General Social Sciences (10 citations), Management Science and Operations Research (11 citations) and Space and Planetary Science (1 citation). Mohammed Albared has collaborated with scholars based in Malaysia, Yemen and Norway. Frequent co-authors include Nazlia Omar, Tareq Al-Moslmi, Salwani Abdullah, Sabrina Tiun, Suryanti Awang, Tao Hai, Fadl Mutaher Ba-Alwi and Mohd Juzaiddin Ab Aziz. Their work appears in journals such as Natural Hazards, International Journal of Advancements in Computing Technology, IEEE Access, Journal of Information Science and PLoS ONE.
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.