Ali Elkahky

19 total papers · 1.5k total citations
10 papers, 660 citations indexed

About

Ali Elkahky is a scholar working on Artificial Intelligence, Information Systems and Signal Processing. According to data from OpenAlex, Ali Elkahky has authored 10 papers receiving a total of 660 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Artificial Intelligence, 2 papers in Information Systems and 2 papers in Signal Processing. Recurrent topics in Ali Elkahky's work include Natural Language Processing Techniques (6 papers), Topic Modeling (5 papers) and Recommender Systems and Techniques (2 papers). Ali Elkahky is often cited by papers focused on Natural Language Processing Techniques (6 papers), Topic Modeling (5 papers) and Recommender Systems and Techniques (2 papers). Ali Elkahky collaborates with scholars based in United States, France and Qatar. Ali Elkahky's co-authors include Yang Song, Xiaodong He, Younes Samih, Mohammed Attia, Laura Kallmeyer, Ruhi Sarikaya, Xiaohu Liu, Dilek Hakkani‐Tür, Larry Heck and Gökhan Tür and has published in prestigious journals such as Language Resources and Evaluation and SPIRE - Sciences Po Institutional REpository.

In The Last Decade

Ali Elkahky

9 papers receiving 620 citations

Hit Papers

A Multi-View Deep Learnin... 2015 2026 2018 2022 2015 100 200 300 400

Author Peers

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

Author Last Decade Papers Cites
Ali Elkahky 470 430 210 78 72 10 660
Yu-Chin Juan 467 1.0× 336 0.8× 294 1.4× 84 1.1× 83 1.2× 7 672
Bottyán Németh 466 1.0× 269 0.6× 222 1.1× 103 1.3× 86 1.2× 10 616
Wei-Sheng Chin 429 0.9× 320 0.7× 264 1.3× 78 1.0× 78 1.1× 6 621
How Jing 468 1.0× 377 0.9× 140 0.7× 122 1.6× 55 0.8× 11 602
Zhankui He 535 1.1× 509 1.2× 211 1.0× 91 1.2× 58 0.8× 23 721
Na Mou 521 1.1× 323 0.8× 228 1.1× 104 1.3× 93 1.3× 7 619
Weijie Bian 574 1.2× 422 1.0× 294 1.4× 115 1.5× 108 1.5× 11 769
Shengxian Wan 378 0.8× 514 1.2× 169 0.8× 86 1.1× 46 0.6× 6 701
Lan Nie 379 0.8× 362 0.8× 172 0.8× 132 1.7× 95 1.3× 12 701
Jaya Kawale 359 0.8× 267 0.6× 155 0.7× 95 1.2× 50 0.7× 16 630

Countries citing papers authored by Ali Elkahky

Since Specialization
Citations

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

Fields of papers citing papers by Ali Elkahky

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ali Elkahky

This figure shows the co-authorship network connecting the top 25 collaborators of Ali Elkahky. A scholar is included among the top collaborators of Ali Elkahky 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 Elkahky. Ali Elkahky 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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