Mohammed Albared
Impact in
- Artificial Intelligence top 5%
- Sentiment Analysis and Opinion Mining
- Topic Modeling
- Advanced Text Analysis Techniques
- 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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- Topic Modeling 13
- Text and Document Classification Technologies 12
- Natural Language Processing Techniques 10
- Sentiment Analysis and Opinion Mining 6
- Advanced Text Analysis Techniques 6
- Algorithms and Data Compression 2
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- Spam and Phishing Detection 2
- Co-authors
- Nazlia Omar (15 shared papers)Tareq Al-Moslmi (7 shared papers)Salwani Abdullah (4 shared papers)Mohd Juzaiddin Ab Aziz (4 shared papers)Sabrina Tiun (3 shared papers)Mohd Zakree Ahmad Nazri (1 shared paper)Suryanti Awang (1 shared paper)Tao Hai (1 shared paper)
In The Last Decade
Mohammed Albared
21 papers receiving 380 citations
Peers
Comparison fields: 5 of 59
- Artificial Intelligence 350
- Information Systems 94
- General Social Sciences 11
- Management Science and Operations Research 12
- Health Informatics 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 9 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
Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 102 | |
| 2 | 2017 | 88 | |
| 3 | 2018 | 39 | |
| 4 | 2010 | 34 | |
| 5 | 2013 | 27 | |
| 6 | 2014 | 24 | |
| 7 | 2011 | 18 | |
| 8 | Arabic term extraction using combined approach on Islamic document | 2013 | 12 |
| 9 | Feature selection method based on statistics of compound words for Arabic text classification | 2019 | 11 |
| 10 | 2019 | 7 | |
| 11 | 2009 | 7 | |
| 12 | 2019 | 7 | |
| 13 | K-MEANS BASED ALGORITHM FOR ISLAMIC DOCUMENT CLUSTERING | 2014 | 5 |
| 14 | 2012 | 4 | |
| 15 | 2016 | 3 | |
| 16 | 2011 | 3 | |
| 17 | 2016 | 2 | |
| 18 | 2015 | 2 | |
| 19 | 2019 | 2 | |
| 20 | 2017 | 2 |
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 23 papers that have together received 400 indexed citations. Recurring topics across this work include Topic Modeling (13 papers), Text and Document Classification Technologies (12 papers), Natural Language Processing Techniques (10 papers), Sentiment Analysis and Opinion Mining (6 papers), Advanced Text Analysis Techniques (6 papers), Spam and Phishing Detection (2 papers), Algorithms and Data Compression (2 papers) and Handwritten Text Recognition Techniques (2 papers). The work is most often cited by research in Artificial Intelligence (350 citations), Information Systems (94 citations), General Social Sciences (11 citations), Management Science and Operations Research (12 citations) and Health Informatics (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, Mohd Juzaiddin Ab Aziz, Sabrina Tiun, Mohd Zakree Ahmad Nazri, Suryanti Awang, Tao Hai and Fadl Mutaher Ba-Alwi. Their work appears in journals such as Journal of Information Science, Natural Hazards, IEEE Access, International Journal of Advancements in Computing Technology 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.