Kamal Al‐Sabahi

15 total papers · 758 total citations
11 papers, 513 citations indexed

About

Kamal Al‐Sabahi is a scholar working on Artificial Intelligence, Information Systems and Computer Networks and Communications. According to data from OpenAlex, Kamal Al‐Sabahi has authored 11 papers receiving a total of 513 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Artificial Intelligence, 2 papers in Information Systems and 1 paper in Computer Networks and Communications. Recurrent topics in Kamal Al‐Sabahi's work include Topic Modeling (8 papers), Natural Language Processing Techniques (7 papers) and Advanced Text Analysis Techniques (5 papers). Kamal Al‐Sabahi is often cited by papers focused on Topic Modeling (8 papers), Natural Language Processing Techniques (7 papers) and Advanced Text Analysis Techniques (5 papers). Kamal Al‐Sabahi collaborates with scholars based in China, Oman and Yemen. Kamal Al‐Sabahi's co-authors include Mohammed Al‐Habib, Majjed Al-Qatf, Lasheng Yu, Zuping Zhang, Kang Yang, Farida Mohsen, Jiayang Wang, Xian Li, Shangwen Wang and Ming Yang and has published in prestigious journals such as IEEE Access, Engineering Applications of Artificial Intelligence and Applied Intelligence.

In The Last Decade

Kamal Al‐Sabahi

10 papers receiving 490 citations

Hit Papers

Deep Learning Approach Co... 2018 2026 2020 2023 2018 100 200 300

Author Peers

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

Author Last Decade Papers Cites
Kamal Al‐Sabahi 427 308 179 41 30 11 513
Marcos V. O. de Assis 280 0.7× 386 1.3× 186 1.0× 28 0.7× 47 1.6× 18 456
Zequn Niu 349 0.8× 385 1.3× 252 1.4× 53 1.3× 33 1.1× 8 469
Srilatha Chebrolu 348 0.8× 379 1.2× 189 1.1× 90 2.2× 18 0.6× 15 484
Yazan Otoum 292 0.7× 387 1.3× 222 1.2× 67 1.6× 43 1.4× 17 474
Zhihan Li 390 0.9× 353 1.1× 181 1.0× 39 1.0× 60 2.0× 11 506
Adel Sabry Eesa 302 0.7× 227 0.7× 137 0.8× 52 1.3× 29 1.0× 13 480
Kaiyuan Jiang 314 0.7× 323 1.0× 141 0.8× 67 1.6× 22 0.7× 18 459
Adnan Mohsin Abdulazeez Brifcani 337 0.8× 232 0.8× 134 0.7× 43 1.0× 23 0.8× 11 488
Razan Abdulhammed 358 0.8× 384 1.2× 204 1.1× 38 0.9× 22 0.7× 10 448
Wai Weng Lo 353 0.8× 387 1.3× 185 1.0× 96 2.3× 41 1.4× 9 532

Countries citing papers authored by Kamal Al‐Sabahi

Since Specialization
Citations

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

Fields of papers citing papers by Kamal Al‐Sabahi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kamal Al‐Sabahi. 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 Kamal Al‐Sabahi. The network helps show where Kamal Al‐Sabahi may publish in the future.

Co-authorship network of co-authors of Kamal Al‐Sabahi

This figure shows the co-authorship network connecting the top 25 collaborators of Kamal Al‐Sabahi. A scholar is included among the top collaborators of Kamal Al‐Sabahi 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 Kamal Al‐Sabahi. Kamal Al‐Sabahi 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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