Ibrahim Aljarah

18.4k citations
117 papers · 13.3k indexed · 8 hit papers · h-index 48

Ibrahim Aljarah

115 papers receiving 12.9k citations

Hit Papers

Harris hawks optimization: Algorithm and applications4.5k201620262019202210002.0k3.0k4.0k

Peers

Ibrahim Aljarah
Comparison fields: 5 of 194
  • Artificial Intelligence 8.0k
  • Computational Theory and Mathematics 2.4k
  • Computer Vision and Pattern Recognition 1.7k
  • Computer Networks and Communications 1.7k
  • Signal Processing 715
Replace Hossam Faris with:
Hossam Faris Jordan
Haibo He United States
Daniel Molina Spain
Majdi Mafarja Palestinian Territory
Alberto Fernández Spain
Avrim Blum United States
Marc G. Bellemare United States
Gaurav Dhiman India
Georg Ostrovski United Kingdom
Zhihua Cui China
Ibrahim Aljarah relative to Hossam Faris Jordan Hossam Faris's profile →
Citations per field
00.5×1.5×
Hossam Faris · 1×
Citations per year

Countries citing papers authored by Ibrahim Aljarah

Since Specialization
Citations

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

Fields of papers citing papers by Ibrahim Aljarah

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Ibrahim Aljarah, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Ibrahim Aljarah Line = papers co-authored together Ibrahim Aljarah links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20243
2 20243
3 202410
4 202416
5 202319
6 202290
7 20229
8 202117
9 202158
10 202138
11 202112
12 20217
13 202036
14 202077
15 2019201
16 2018213
17
Binary dragonfly optimization for feature selection using time-varying transfer functionsbreakdown →
2018332
18
Grey wolf optimizer: a review of recent variants and applicationsbreakdown →
2017788
19 201611
20 201598

About Ibrahim Aljarah

Ibrahim Aljarah is a scholar working on Artificial Intelligence, Health Information Management and Computational Theory and Mathematics, having authored 117 papers that have together received 13.3k indexed citations. Recurring topics across this work include Metaheuristic Optimization Algorithms Research (49 papers), Evolutionary Algorithms and Applications (27 papers), Advanced Multi-Objective Optimization Algorithms (19 papers), Face and Expression Recognition (15 papers), Machine Learning and ELM (14 papers), Network Security and Intrusion Detection (13 papers), Spam and Phishing Detection (10 papers) and Neural Networks and Applications (10 papers). The work is most often cited by research in Artificial Intelligence (8.0k citations), Computational Theory and Mathematics (2.4k citations) and Computer Vision and Pattern Recognition (1.7k citations). Ibrahim Aljarah has collaborated with scholars based in Jordan, Australia and Palestinian Territory. Frequent co-authors include Hossam Faris, Seyedali Mirjalili, Majdi Mafarja, Ali Asghar Heidari, Huiling Chen, Ala’ M. Al-Zoubi, Mohammed Azmi Al‐Betar, Hamido Fujita, Abdelaziz I. Hammouri and Mohammad A. Hassonah. Their work appears in journals such as SHILAP Revista de lepidopterología, Expert Systems with Applications and IEEE Access.

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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