Riyad Al–Shalabi

790 total citations
37 papers, 595 citations indexed

About

Riyad Al–Shalabi is a scholar working on Artificial Intelligence, Information Systems and Computer Networks and Communications. According to data from OpenAlex, Riyad Al–Shalabi has authored 37 papers receiving a total of 595 indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Artificial Intelligence, 13 papers in Information Systems and 6 papers in Computer Networks and Communications. Recurrent topics in Riyad Al–Shalabi's work include Advanced Text Analysis Techniques (9 papers), Text and Document Classification Technologies (9 papers) and Natural Language Processing Techniques (8 papers). Riyad Al–Shalabi is often cited by papers focused on Advanced Text Analysis Techniques (9 papers), Text and Document Classification Technologies (9 papers) and Natural Language Processing Techniques (8 papers). Riyad Al–Shalabi collaborates with scholars based in Jordan, Bahrain and China. Riyad Al–Shalabi's co-authors include Ghassan Kanaan, Mahmoud Al‐Ayyoub, Martha Evens, Sameh Ghwanmeh, Mohammed A. Shehab, Mohammed Elbes, Tarek Kanan, Ala Mughaid, Alanazi Rayan and Amr Abozeid and has published in prestigious journals such as Computational Intelligence and Neuroscience, American Journal of Applied Sciences and Journal of Information Security and Applications.

In The Last Decade

Riyad Al–Shalabi

36 papers receiving 542 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Riyad Al–Shalabi Jordan	14	507	208	44	34	29	37	595
Ghassan Kanaan Jordan	15	544 1.1×	240 1.2×	45 1.0×	33 1.0×	23 0.8×	45	610
Edda Leopold Germany	6	473 0.9×	205 1.0×	61 1.4×	26 0.8×	17 0.6×	12	536
Wang Gao China	8	204 0.4×	96 0.5×	24 0.5×	38 1.1×	25 0.9×	29	302
Dingyi Han China	9	297 0.6×	198 1.0×	29 0.7×	20 0.6×	24 0.8×	19	409
Huyen Trang Phan Poland	9	314 0.6×	122 0.6×	20 0.5×	81 2.4×	13 0.4×	19	385
Fethi Fkih Tunisia	9	132 0.3×	122 0.6×	52 1.2×	32 0.9×	33 1.1×	24	233
Hongkui Yu China	4	356 0.7×	104 0.5×	44 1.0×	15 0.4×	11 0.4×	9	430
Salma Jamoussi Tunisia	11	225 0.4×	61 0.3×	22 0.5×	27 0.8×	22 0.8×	56	330
Sanasam Ranbir Singh India	10	223 0.4×	66 0.3×	34 0.8×	40 1.2×	36 1.2×	61	326

Countries citing papers authored by Riyad Al–Shalabi

Since Specialization

Citations

This map shows the geographic impact of Riyad Al–Shalabi'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 Riyad Al–Shalabi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Riyad Al–Shalabi more than expected).

Fields of papers citing papers by Riyad Al–Shalabi

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Riyad Al–Shalabi. 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 Riyad Al–Shalabi. The network helps show where Riyad Al–Shalabi may publish in the future.

Co-authorship network of co-authors of Riyad Al–Shalabi

This figure shows the co-authorship network connecting the top 25 collaborators of Riyad Al–Shalabi. A scholar is included among the top collaborators of Riyad Al–Shalabi 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 Riyad Al–Shalabi. Riyad Al–Shalabi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

El-Aziz, Rasha M. Abd, Alanazi Rayan, Osama R. Shahin, et al.. (2022). An Effective Data Science Technique for IoT-Assisted Healthcare Monitoring System with a Rapid Adoption of Cloud Computing. Computational Intelligence and Neuroscience. 2022. 1–9. 30 indexed citations

Kanan, Tarek, et al.. (2022). Business intelligence using deep learning techniques for social media contents. Cluster Computing. 26(2). 1285–1296. 27 indexed citations

Wei, Da, Sibo Zhu, Jian Wang, & Riyad Al–Shalabi. (2022). Construction and application of automobile user portrait based on k-mean clustering model. Applied Mathematics and Nonlinear Sciences. 8(1). 909–918.

Liu, Hong, et al.. (2022). Garment Image Retrieval based on Grab Cut Auto Segmentation and Dominate Color Method. Applied Mathematics and Nonlinear Sciences. 8(1). 573–584. 1 indexed citations

Xu, Jian, et al.. (2022). A Sentiment Analysis Method Based on Bidirectional Long Short-Term Memory Networks. Applied Mathematics and Nonlinear Sciences. 8(1). 55–68. 2 indexed citations

Al–Shalabi, Riyad, Ghassan Kanaan, Tarek Kanan, & Mohammed Elbes. (2022). A Review Study for Arabic Machine Learning and Deep Learning Methods. 4. 225–232. 1 indexed citations

Kanan, Tarek, et al.. (2021). Arabic Text Categorization: A Comparison Survey. 739–742. 6 indexed citations

Al‐Ayyoub, Mahmoud, et al.. (2017). Improved hierarchical classifiers for multi-way sentiment analysis.. The International Arab Journal of Information Technology. 14. 654–661. 8 indexed citations

Al–Shalabi, Riyad, et al.. (2017). Evaluating Machine Translations from Arabic into English and Vice Versa. 3(2). 1–1. 3 indexed citations

10.

Shehab, Mohammed A., et al.. (2015). Emotion analysis of Arabic articles and its impact on identifying the author's gender. 1–6. 35 indexed citations

11.

Al–Shalabi, Riyad, et al.. (2012). Building an effective rule-based light stemmer for arabic language to improve search effectiveness.. The International Arab Journal of Information Technology. 9. 368–372. 39 indexed citations

12.

Hmeidi, Ismail, et al.. (2009). A novel approach to the extraction of roots from Arabic words using bigrams. Journal of the American Society for Information Science and Technology. 61(3). 583–591. 13 indexed citations

13.

Kanaan, Ghassan, et al.. (2009). A New Question Answering System for the Arabic Language. American Journal of Applied Sciences. 6(4). 797–805. 7 indexed citations

14.

Ghwanmeh, Sameh, Riyad Al–Shalabi, & Ghassan Kanaan. (2006). Efficient Data Compression Scheme using Dynamic Huffman Code Applied on Arabic Language. Journal of Computer Science. 2(12). 885–888. 10 indexed citations

15.

Al–Shalabi, Riyad, et al.. (2006). Analysis of Enhanced Associativity Based Routing Protocol. Journal of Computer Science. 2(12). 853–858. 6 indexed citations

16.

Kanaan, Ghassan, et al.. (2004). Comparison between Ad-hoc Retrieval and Filtering Retrieval Using Arabic Documents. 17(3). 181–199. 1 indexed citations

17.

Al–Shalabi, Riyad, et al.. (2004). Experiments with the Successor Variety Algorithm Using the Cutoff and Entropy Methods. Information Technology Journal. 4(1). 55–62. 3 indexed citations

18.

Kanaan, Ghassan, Riyad Al–Shalabi, & Majdi Sawalha. (2004). Improving Arabic Information Retrieval Systems Using Part of Speech Tagging. Information Technology Journal. 4(1). 32–37. 6 indexed citations

19.

Al–Shalabi, Riyad & Martha Evens. (1998). A computational morphology system for Arabic. 66–66. 63 indexed citations

20.

Evens, Martha & Riyad Al–Shalabi. (1996). Design and implementation of an arabic morphological system to support natural language processing. 6 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.

Explore authors with similar magnitude of impact