Mohammad Mahyoob

802 total citations · 1 hit paper
23 papers, 429 citations indexed

About

Mohammad Mahyoob is a scholar working on Artificial Intelligence, Sociology and Political Science and Information Systems. According to data from OpenAlex, Mohammad Mahyoob has authored 23 papers receiving a total of 429 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Artificial Intelligence, 4 papers in Sociology and Political Science and 4 papers in Information Systems. Recurrent topics in Mohammad Mahyoob's work include Natural Language Processing Techniques (8 papers), Misinformation and Its Impacts (4 papers) and Topic Modeling (4 papers). Mohammad Mahyoob is often cited by papers focused on Natural Language Processing Techniques (8 papers), Misinformation and Its Impacts (4 papers) and Topic Modeling (4 papers). Mohammad Mahyoob collaborates with scholars based in Saudi Arabia, Yemen and India. Mohammad Mahyoob's co-authors include Zaki Brahmi, Mohammed Al-Sarem, Bouchaib Cherradi, Soufiane Hamida and Omar Bouattane and has published in prestigious journals such as SHILAP Revista de lepidopterología, Multimedia Tools and Applications and International Journal of Emerging Technologies in Learning (iJET).

In The Last Decade

Mohammad Mahyoob

20 papers receiving 381 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Challenges of e-Learning during the COVID-19 Pandemic Experienced by EFL Learners

2020 245 citations Mohammad Mahyoob Arab World English Journal profile →

Peers

Mohammad Mahyoob

EDUCA

IS

AI

SPS

CP

Zakaryia Almahasees Jordan

Prodhan Mahbub Ibna Seraj Bangladesh

Wenwei Luo China

Paulina Rutecka Poland

Mohd. Elmagzoub Eltahir United Arab Emirates

Eva María Torrecilla Sánchez Spain

Sumaya Daoud United Arab Emirates

Lin Yu-peng China

Jin Mao United States

Zakaryia Almahasees Jordan

Mohammad Mahyoob

231 ×1.2

EDUCA

89 ×0.7

IS

76 ×0.7

AI

40 ×0.6

SPS

89 ×1.6

CP

Citations per year, relative to Mohammad Mahyoob Mohammad Mahyoob (= 1×) peers Zakaryia Almahasees

Countries citing papers authored by Mohammad Mahyoob

Since Specialization

Citations

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

Fields of papers citing papers by Mohammad Mahyoob

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mohammad Mahyoob. 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 Mohammad Mahyoob. The network helps show where Mohammad Mahyoob may publish in the future.

Co-authorship network of co-authors of Mohammad Mahyoob

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

All Works

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20 of 20 papers shown

1.

Mahyoob, Mohammad, et al.. (2025). Analysis and Assessment of Uvular Sound Production in Arabic among Individuals with Speech Disorders. SHILAP Revista de lepidopterología. 4(1).

2.

Mahyoob, Mohammad, et al.. (2025). DeepSeek vs. ChatGPT: Comparative Efficacy in Reasoning for Adults’ Second Language Acquisition Analysis. SHILAP Revista de lepidopterología. 864–883. 2 indexed citations

3.

Mahyoob, Mohammad, et al.. (2025). Exploring ChatGPT's potential for augmenting post-editing in machine translation across multiple domains: challenges and opportunities. Frontiers in Artificial Intelligence. 8. 1526293–1526293.

4.

Brahmi, Zaki, et al.. (2024). Exploring the Role of Machine Learning in Diagnosing and Treating Speech Disorders: A Systematic Literature Review. Psychology Research and Behavior Management. Volume 17. 2205–2232. 9 indexed citations

5.

Cherradi, Bouchaib, et al.. (2024). A novel hybrid CNN-KNN ensemble voting classifier for Parkinson’s disease prediction from hand sketching images. Multimedia Tools and Applications. 84(30). 36401–36433. 5 indexed citations

6.

Mahyoob, Mohammad, et al.. (2023). A Deterministic Finite-State Morphological Analyzer for Urdu Nominal System. Engineering Technology & Applied Science Research. 13(3). 11026–11031. 3 indexed citations

7.

Mahyoob, Mohammad, et al.. (2023). Proposed Framework for Human-like Language Processing of ChatGPT in Academic Writing. International Journal of Emerging Technologies in Learning (iJET). 18(14). 282–293. 17 indexed citations

8.

Mahyoob, Mohammad, et al.. (2023). ChatGPT’s Capabilities in Spotting and Analyzing Writing Errors Experienced by EFL Learners. Arab World English Journal. 3–17. 38 indexed citations

9.

Mahyoob, Mohammad, et al.. (2022). Public Sentiment Analysis in Social Media on the SARS-CoV-2 Vaccination Using VADER Lexicon Polarity. SHILAP Revista de lepidopterología. 591–609. 5 indexed citations

10.

Mahyoob, Mohammad. (2022). Semi-automatic Annotation of Arabic Corpus: A Morpho-syntactic Study. SocArXiv (OSF Preprints). 2 indexed citations

11.

Mahyoob, Mohammad, et al.. (2022). Sentiment Analysis of Public Tweets Towards the Emergence of SARS-CoV-2 Omicron Variant: A Social Media Analytics Framework. SHILAP Revista de lepidopterología. 12(3). 8525–8531. 20 indexed citations

12.

Mahyoob, Mohammad. (2021). The Influence of Stress on Allophonic Alteration in Standard Arabic: An Optimality Theoretic Perspective. SSRN Electronic Journal. 1 indexed citations

13.

Mahyoob, Mohammad. (2021). Challenges of e-Learning during the COVID-19 Pandemic Experienced by EFL Learners. SocArXiv (OSF Preprints). 4 indexed citations

14.

Mahyoob, Mohammad, et al.. (2021). Linguistic-Based Detection of Fake News in Social Media. SocArXiv (OSF Preprints). 3 indexed citations

15.

Mahyoob, Mohammad. (2021). Online Learning Effectiveness During the COVID-19 Pandemic. International Journal of Information and Communication Technology Education. 17(4). 1–14. 13 indexed citations

16.

Mahyoob, Mohammad. (2021). Online Learning Effectiveness During the COVID-19 Pandemic: A Case Study of Saudi Universities. SocArXiv (OSF Preprints). 5 indexed citations

17.

Mahyoob, Mohammad. (2020). Challenges of e-Learning during the COVID-19 Pandemic Experienced by EFL Learners. Arab World English Journal. 11(4). 351–362. 245 indexed citations breakdown →

18.

Mahyoob, Mohammad, et al.. (2020). Linguistic-Based Detection of Fake News in Social Media. International Journal of English Linguistics. 11(1). 99–99. 38 indexed citations

19.

Mahyoob, Mohammad. (2020). Developing a Simplified Morphological Analyzer for Arabic Pronominal System. 9(2). 9–19. 2 indexed citations

20.

Mahyoob, Mohammad. (2018). Deterministic Finite State Automaton of Arabic Verb System: A Morphological Study. SSRN Electronic Journal. 1 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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