Ali Farghaly

694 total citations
16 papers, 398 citations indexed

About

Ali Farghaly is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Cultural Studies. According to data from OpenAlex, Ali Farghaly has authored 16 papers receiving a total of 398 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Artificial Intelligence, 2 papers in Computer Vision and Pattern Recognition and 2 papers in Cultural Studies. Recurrent topics in Ali Farghaly's work include Natural Language Processing Techniques (14 papers), Topic Modeling (8 papers) and Speech and dialogue systems (3 papers). Ali Farghaly is often cited by papers focused on Natural Language Processing Techniques (14 papers), Topic Modeling (8 papers) and Speech and dialogue systems (3 papers). Ali Farghaly collaborates with scholars based in United States, Egypt and United Arab Emirates. Ali Farghaly's co-authors include Khaled Shaalan, Karine Megerdoomian, Farhad Oroumchian and Aly Aly and has published in prestigious journals such as Comparative Education, ACM Transactions on Asian Language Information Processing and Computers and the Humanities.

In The Last Decade

Ali Farghaly

13 papers receiving 363 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ali Farghaly United States 6 353 80 29 25 24 16 398
Marcos García Spain 11 341 1.0× 60 0.8× 22 0.8× 15 0.6× 25 1.0× 57 404
Jane Morris Canada 5 580 1.6× 87 1.1× 21 0.7× 32 1.3× 69 2.9× 6 664
Woojin Paik United States 9 126 0.4× 79 1.0× 24 0.8× 18 0.7× 11 0.5× 29 232
Abdelhak Lakhouaja Morocco 10 271 0.8× 58 0.7× 13 0.4× 29 1.2× 18 0.8× 25 338
Yufang Hou Ireland 14 496 1.4× 115 1.4× 34 1.2× 56 2.2× 10 0.4× 50 543
Gideon Kotzé South Africa 5 274 0.8× 33 0.4× 19 0.7× 33 1.3× 56 2.3× 13 351
Alison K. Huettner United States 7 278 0.8× 58 0.7× 28 1.0× 17 0.7× 17 0.7× 10 325
Giovanni Moretti Italy 9 172 0.5× 37 0.5× 19 0.7× 26 1.0× 12 0.5× 29 246
Majdi Sawalha Jordan 9 200 0.6× 33 0.4× 18 0.6× 9 0.4× 28 1.2× 29 238
Alexis Palmer Germany 14 417 1.2× 35 0.4× 8 0.3× 37 1.5× 47 2.0× 57 484

Countries citing papers authored by Ali Farghaly

Since Specialization
Citations

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

Fields of papers citing papers by Ali Farghaly

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ali Farghaly

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

All Works

16 of 16 papers shown
1.
Farghaly, Ali, et al.. (2023). Statistical models for identifying missing and unclear signs of the Indus script. Journal of Emerging Investigators.
2.
Farghaly, Ali, et al.. (2023). Identifying Anomalous Indus Texts from West Asia Using Markov Chain Language Model. Journal of Student Research. 12(1).
3.
4.
Farghaly, Ali, et al.. (2015). Arabic Anaphora Resolution: Corpus of the Holy Qur’an Annotated with Anaphoric Information. International Journal of Computer Applications. 124(15). 35–43. 1 indexed citations
5.
Farghaly, Ali & Farhad Oroumchian. (2012). Fourth Workshop on Computational Approaches to Arabic-Script-based Languages. 4 indexed citations
6.
Farghaly, Ali. (2010). Arabic computational linguistics. Medical Entomology and Zoology. 9 indexed citations
7.
Farghaly, Ali. (2010). Arabic Machine Translation: A Developmental Perspective. 4 indexed citations
8.
Farghaly, Ali & Khaled Shaalan. (2009). Arabic Natural Language Processing. ACM Transactions on Asian Language Information Processing. 8(4). 1–22. 327 indexed citations
9.
Shaalan, Khaled & Ali Farghaly. (2009). Introduction to the Special Issue on Arabic Natural Language Processing. ACM Transactions on Asian Language Information Processing. 8(4). 1–3. 2 indexed citations
10.
Farghaly, Ali. (2008). Arabic Computational Linguistics: Current Implementations. 2 indexed citations
11.
Farghaly, Ali & Karine Megerdoomian. (2004). Proceedings of the Workshop on Computational Approaches to Arabic Script-based Languages. 16 indexed citations
12.
Farghaly, Ali. (2004). Computer processing of Arabic script-based languages. 1–1. 11 indexed citations
13.
Farghaly, Ali. (2003). Handbook for Language Engineers. 11 indexed citations
14.
Farghaly, Ali, et al.. (2003). Roots & patterns vs. stems plus grammar-lexis specifications: on what basis should a multilingual database centred on Arabic be built?. 1 indexed citations
15.
Farghaly, Ali. (1989). A model for intelligent computer assisted language instruction (MICALI). Computers and the Humanities. 23(3). 235–250. 7 indexed citations
16.
Farghaly, Ali, et al.. (1987). On the Need for an Integrated Policy Infrastructure for the Delivery of Technical and Vocational Education in the Arab Gulf Region. Comparative Education. 23(3). 317–328. 3 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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