Jaffar Atwan

938 total citations · 1 hit paper
11 papers, 664 citations indexed

About

Jaffar Atwan is a scholar working on Artificial Intelligence, Information Systems and Computational Theory and Mathematics. According to data from OpenAlex, Jaffar Atwan has authored 11 papers receiving a total of 664 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Artificial Intelligence, 6 papers in Information Systems and 2 papers in Computational Theory and Mathematics. Recurrent topics in Jaffar Atwan's work include Advanced Text Analysis Techniques (4 papers), Information Retrieval and Search Behavior (3 papers) and Topic Modeling (3 papers). Jaffar Atwan is often cited by papers focused on Advanced Text Analysis Techniques (4 papers), Information Retrieval and Search Behavior (3 papers) and Topic Modeling (3 papers). Jaffar Atwan collaborates with scholars based in Jordan, Malaysia and Saudi Arabia. Jaffar Atwan's co-authors include Malik Braik, Abdelaziz I. Hammouri, Mohammed Azmi Al‐Betar, Mohammed A. Awadallah, Dheeb Albashish, Shahnorbanun Sahran, Mohammad Wedyan, Masnizah Mohd, Ryan Alturki and Ghassan Kanaan and has published in prestigious journals such as SHILAP Revista de lepidopterología, Applied Soft Computing and Knowledge-Based Systems.

In The Last Decade

Jaffar Atwan

11 papers receiving 632 citations

Hit Papers

White Shark Optimizer: A novel bio-inspired meta-heuristi... 2022 2026 2023 2024 2022 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jaffar Atwan Jordan 5 405 139 106 104 89 11 664
Honghua Rao China 12 368 0.9× 190 1.4× 81 0.8× 105 1.0× 89 1.0× 19 624
Changsheng Wen China 10 355 0.9× 182 1.3× 74 0.7× 90 0.9× 82 0.9× 12 588
Tianran Zhang China 6 356 0.9× 158 1.1× 168 1.6× 61 0.6× 125 1.4× 11 668
Xian-Bing Meng China 12 394 1.0× 144 1.0× 200 1.9× 120 1.2× 159 1.8× 22 814
Qamar Askari Pakistan 5 531 1.3× 245 1.8× 165 1.6× 80 0.8× 119 1.3× 6 787
Xinming Zhang China 12 409 1.0× 169 1.2× 71 0.7× 119 1.1× 180 2.0× 33 686
Omar Ávalos Mexico 12 250 0.6× 112 0.8× 104 1.0× 123 1.2× 109 1.2× 33 560
Mohammed R. Saad Egypt 6 319 0.8× 168 1.2× 124 1.2× 62 0.6× 71 0.8× 10 564
Salvador Hinojosa Mexico 16 377 0.9× 137 1.0× 116 1.1× 281 2.7× 77 0.9× 36 825

Countries citing papers authored by Jaffar Atwan

Since Specialization
Citations

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

Fields of papers citing papers by Jaffar Atwan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jaffar Atwan

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

All Works

11 of 11 papers shown
1.
Atwan, Jaffar, et al.. (2024). Using Deep Learning to Recognize Fake Faces. International Journal of Advanced Computer Science and Applications. 15(1). 1 indexed citations
2.
Atwan, Jaffar, et al.. (2024). Ensemble of Deep Features for Breast Cancer Histopathological Image Classification. The Computer Journal. 67(6). 2126–2136. 3 indexed citations
3.
Braik, Malik, Abdelaziz I. Hammouri, Jaffar Atwan, Mohammed Azmi Al‐Betar, & Mohammed A. Awadallah. (2022). White Shark Optimizer: A novel bio-inspired meta-heuristic algorithm for global optimization problems. Knowledge-Based Systems. 243. 108457–108457. 504 indexed citations breakdown →
4.
Atwan, Jaffar, et al.. (2021). The Use of Stemming in the Arabic Text and Its Impact on the Accuracy of Classification. Scientific Programming. 2021. 1–9. 9 indexed citations
5.
Noah, Shahrul Azman Mohd, et al.. (2021). Word-embedding-based query expansion: Incorporating Deep Averaging Networks in Arabic document retrieval. Journal of Information Science. 49(5). 1168–1186. 4 indexed citations
6.
Salam, Rosalina Abdul, et al.. (2021). Arabic Text Clustering Methods and Suggested Solutions for Theme-Based Quran Clustering: Analysis of Literature. SHILAP Revista de lepidopterología. 4 indexed citations
7.
Atwan, Jaffar, et al.. (2021). The Effect of Using Light Stemming for Arabic Text Classification. International Journal of Advanced Computer Science and Applications. 12(5). 13 indexed citations
8.
9.
Albashish, Dheeb, Abdelaziz I. Hammouri, Malik Braik, Jaffar Atwan, & Shahnorbanun Sahran. (2020). Binary biogeography-based optimization based SVM-RFE for feature selection. Applied Soft Computing. 101. 107026–107026. 114 indexed citations
10.
Atwan, Jaffar, Masnizah Mohd, Hasan Rashaideh, & Ghassan Kanaan. (2015). Semantically enhanced pseudo relevance feedback for Arabic information retrieval. Journal of Information Science. 42(2). 246–260. 9 indexed citations
11.
Mohd, Masnizah, Jaffar Atwan, & Kiyoaki Shirai. (2015). Pseudo Relevance Feedback Technique and Semantic Similarity for Corpus-based Expansion. 445–450. 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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