Mohammed Albared

490 total citations
19 papers, 294 citations indexed

About

Mohammed Albared is a scholar working on Artificial Intelligence, Information Systems and Computer Vision and Pattern Recognition. According to data from OpenAlex, Mohammed Albared has authored 19 papers receiving a total of 294 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Artificial Intelligence, 3 papers in Information Systems and 1 paper in Computer Vision and Pattern Recognition. Recurrent topics in Mohammed Albared's work include Text and Document Classification Technologies (11 papers), Topic Modeling (10 papers) and Natural Language Processing Techniques (7 papers). Mohammed Albared is often cited by papers focused on Text and Document Classification Technologies (11 papers), Topic Modeling (10 papers) and Natural Language Processing Techniques (7 papers). Mohammed Albared collaborates with scholars based in Malaysia, Yemen and Norway. Mohammed Albared's 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 and has published in prestigious journals such as PLoS ONE, IEEE Access and Natural Hazards.

In The Last Decade

Mohammed Albared

17 papers receiving 280 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Mohammed Albared Malaysia	8	250	75	26	11	10	19	294
Tareq Al-Moslmi Norway	6	292 1.2×	82 1.1×	25 1.0×	39 3.5×	8 0.8×	12	345
Prafulla Bafna India	8	182 0.7×	83 1.1×	20 0.8×	8 0.7×	4 0.4×	27	252
Abu Kaisar Mohammad Masum Bangladesh	9	215 0.9×	95 1.3×	32 1.2×	19 1.7×	3 0.3×	34	295
Christopher Hidey United States	9	243 1.0×	65 0.9×	49 1.9×	16 1.5×	5 0.5×	13	296
V. S. Anoop India	8	99 0.4×	57 0.8×	20 0.8×	11 1.0×	6 0.6×	20	184
Lena Dankin Israel	7	276 1.1×	89 1.2×	22 0.8×	10 0.9×	4 0.4×	13	310
Sabino Miranda‐Jiménez Mexico	8	160 0.6×	44 0.6×	24 0.9×	5 0.5×	4 0.4×	28	195
Sergey Smetanin Russia	7	149 0.6×	92 1.2×	40 1.5×	19 1.7×	16 1.6×	16	263
Yoan Gutiérrez Spain	10	246 1.0×	59 0.8×	34 1.3×	9 0.8×	2 0.2×	66	309

Countries citing papers authored by Mohammed Albared

Since Specialization

Citations

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

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Mohammed Albared

This figure shows the co-authorship network connecting the top 25 collaborators of Mohammed Albared. A scholar is included among the top collaborators of Mohammed Albared based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Mohammed Albared. Mohammed Albared is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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19 of 19 papers shown

1.

Albared, Mohammed, et al.. (2025). How confident and reliable are deep learning models for streamflow prediction under flood conditions. Natural Hazards. 121(16). 18529–18549.

2.

Ba-Alwi, Fadl Mutaher, et al.. (2023). A Proposed Model for Focused Crawling and Automatic Text Classification of Online Crime Web Pages. 6(6). 65–81.

3.

Omar, Nazlia, et al.. (2019). Feature selection method based on statistics of compound words for Arabic text classification. The International Arab Journal of Information Technology. 16(2). 178–185. 12 indexed citations

4.

Al-Moslmi, Tareq, et al.. (2019). Bidirectional Feature Transfer for Cross-Domain Sentiment Analysis. 1–8. 2 indexed citations

5.

Albared, Mohammed, et al.. (2019). Recent Progress of Named Entity Recognition over the Most Popular Datasets. 23. 1–9. 7 indexed citations

6.

Al-Moslmi, Tareq, et al.. (2019). A Comparative Study Of Co-Occurrence Strategies for Building A Cross-Domain Sentiment Thesaurus. 7. 1–8. 1 indexed citations

7.

Albared, Mohammed, et al.. (2019). Arabic English Cross-Lingual Plagiarism Detection Based on Keyphrases Extraction, Monolingual and Machine Learning Approach. Asian Journal of Research in Computer Science. 1–12. 7 indexed citations

8.

Awang, Suryanti, et al.. (2018). Malay sentiment analysis based on combined classification approaches and Senti-lexicon algorithm. PLoS ONE. 13(4). e0194852–e0194852. 34 indexed citations

9.

Al-Moslmi, Tareq, Nazlia Omar, Salwani Abdullah, & Mohammed Albared. (2017). Approaches to Cross-Domain Sentiment Analysis: A Systematic Literature Review. IEEE Access. 5. 16173–16192. 95 indexed citations

10.

Al-Moslmi, Tareq, et al.. (2017). Arabic senti-lexicon: Constructing publicly available language resources for Arabic sentiment analysis. Journal of Information Science. 44(3). 345–362. 79 indexed citations

11.

Ba-Alwi, Fadl Mutaher, Mohammed Albared, & Tareq Al-Moslmi. (2017). Choosing the Optimal Segmentation Level for POS Tagging of the Quranic Arabic. British Journal of Applied Science & Technology. 19(1). 1–10. 1 indexed citations

12.

Omar, Nazlia, et al.. (2016). Automatic Extraction Of Malay Compound Nouns Using A Hybrid Of Statistical And Machine Learning Methods. International Journal of Electrical and Computer Engineering (IJECE). 6(3). 925–925. 2 indexed citations

13.

Omar, Nazlia, et al.. (2016). Automatic Extraction Of Malay Compound Nouns Using A Hybrid Of Statistical And Machine Learning Methods. International Journal of Electrical and Computer Engineering (IJECE). 6(3). 925–925. 3 indexed citations

14.

Ba-Alwi, Fadl Mutaher & Mohammed Albared. (2015). Experiments on the Use of Machine Learning Classification Methods in Online Crime Text Filtering and Classification. British Journal of Applied Science & Technology. 12(5). 1–12. 2 indexed citations

15.

Tiun, Sabrina, et al.. (2014). K-MEANS BASED ALGORITHM FOR ISLAMIC DOCUMENT CLUSTERING. 2(3). 5 indexed citations

16.

Tiun, Sabrina, et al.. (2013). Experiments on the Use of Feature Selection and Machine Learning Methods in Automatic Malay Text Categorization. Procedia Technology. 11. 748–754. 24 indexed citations

17.

Tiun, Sabrina, et al.. (2013). Arabic term extraction using combined approach on Islamic document. 58(3). 601–608. 9 indexed citations

18.

Omar, Nazlia, et al.. (2012). Extraction of Spatial Relation in Arabic Text Using Rule-Based Approach. International Journal of Advancements in Computing Technology. 4(15). 172–178. 4 indexed citations

19.

Albared, Mohammed, Nazlia Omar, & Mohd Juzaiddin Ab Aziz. (2009). Classifiers combination to arabic morphosyntactic disambiguation. 92. 163–171. 7 indexed citations

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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