Ibrahim Abu Farha

14 total papers · 657 total citations
11 papers, 504 citations indexed

About

Ibrahim Abu Farha is a scholar working on Artificial Intelligence, Infectious Diseases and Organic Chemistry. According to data from OpenAlex, Ibrahim Abu Farha has authored 11 papers receiving a total of 504 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Artificial Intelligence, 0 papers in Infectious Diseases and 0 papers in Organic Chemistry. Recurrent topics in Ibrahim Abu Farha's work include Topic Modeling (9 papers), Natural Language Processing Techniques (7 papers) and Sentiment Analysis and Opinion Mining (7 papers). Ibrahim Abu Farha is often cited by papers focused on Topic Modeling (9 papers), Natural Language Processing Techniques (7 papers) and Sentiment Analysis and Opinion Mining (7 papers). Ibrahim Abu Farha collaborates with scholars based in United Kingdom, United States and Palestinian Territory. Ibrahim Abu Farha's co-authors include Walid Magdy, Silviu Oprea, Steven Lloyd Wilson, Wajdi Zaghouani and Aziz Qaroush and has published in prestigious journals such as Information Processing & Management, Journal of King Saud University - Computer and Information Sciences and Edinburgh Research Explorer (University of Edinburgh).

In The Last Decade

Ibrahim Abu Farha

11 papers receiving 437 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Ibrahim Abu Farha 475 75 27 21 17 11 504
Kim Luyckx 400 0.8× 51 0.7× 33 1.2× 31 1.5× 5 0.3× 24 472
Sze-Meng Jojo Wong 411 0.9× 49 0.7× 28 1.0× 30 1.4× 21 1.2× 16 607
Nora Al-Twairesh 414 0.9× 95 1.3× 71 2.6× 23 1.1× 11 0.6× 23 480
Yejin Bang 284 0.6× 59 0.8× 39 1.4× 7 0.3× 13 0.8× 11 454
Sixing Wu 442 0.9× 70 0.9× 26 1.0× 20 1.0× 8 0.5× 24 505
Marcin Gruza 397 0.8× 48 0.6× 61 2.3× 42 2.0× 20 1.2× 12 564
Nathan Gilbert 486 1.0× 64 0.9× 17 0.6× 27 1.3× 5 0.3× 11 566
Hans Karlgren 406 0.9× 39 0.5× 26 1.0× 11 0.5× 15 0.9× 15 560
Arkadiusz Janz 288 0.6× 36 0.5× 36 1.3× 28 1.3× 9 0.5× 19 448
Kamil Kanclerz 351 0.7× 41 0.5× 46 1.7× 35 1.7× 8 0.5× 11 514

Countries citing papers authored by Ibrahim Abu Farha

Since Specialization
Citations

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

Fields of papers citing papers by Ibrahim Abu Farha

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ibrahim Abu Farha. 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 Ibrahim Abu Farha. The network helps show where Ibrahim Abu Farha may publish in the future.

Co-authorship network of co-authors of Ibrahim Abu Farha

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

All Works

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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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