Omar Abu Arqub
- Modeling and Simulation top 0.01%
- Fractional Differential Equations Solutions 128
- Numerical Analysis top 0.1%
- Differential Equations and Numerical Methods 59
- Iterative Methods for Nonlinear Equations 34
- Numerical methods for differential equations 22
- Applied Mathematics top 0.2%
- Nonlinear Differential Equations Analysis 40
- Statistical and Nonlinear Physics top 0.2%
- Nonlinear Waves and Solitons 27
- Statistics and Probability top 0.5%
- Fuzzy Systems and Optimization 19
-
- Numerical methods in engineering 19
- Co-authors
- Mohammed Al‐SmadiShaher MomaniAhmad El-AjouZaer S. Abo‐HammourBanan MaayahNabil ShawagfehTasawar HayatMohammed Sh. Alhodaly
- Journals
- SHILAP Revista de lepidopterología (3 papers)PLoS ONE (1 paper)Journal of Computational Physics (2 papers)
- Partner nations
- JordanSaudi ArabiaUnited Arab Emirates
In The Last Decade
Omar Abu Arqub
139 papers receiving 8.6k citations
Hit Papers
Peers
Comparison fields: 5 of 152
- Modeling and Simulation 5.3k
- Numerical Analysis 2.9k
- Applied Mathematics 1.9k
- Statistical and Nonlinear Physics 2.0k
- Statistics and Probability 841
Countries citing papers authored by Omar Abu Arqub
This map shows the geographic impact of Omar Abu Arqub'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 Omar Abu Arqub with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Omar Abu Arqub more than expected).
Fields of papers citing papers by Omar Abu Arqub
This network shows the impact of papers produced by Omar Abu Arqub. 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 Omar Abu Arqub. The network helps show where Omar Abu Arqub may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Omar Abu Arqub, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 1 | |
| 2 | 2025 | 1 | |
| 3 | 2025 | 1 | |
| 4 | 2025 | 1 | |
| 5 | 2025 | 0 | |
| 6 | 2024 | 13 | |
| 7 | 2024 | 12 | |
| 8 | 2024 | 4 | |
| 9 | 2024 | 5 | |
| 10 | 2024 | 1 | |
| 11 | 2024 | 14 | |
| 12 | 2023 | 8 | |
| 13 | 2023 | 25 | |
| 14 | 2021 | 82 | |
| 15 | 2021 | 42 | |
| 16 | 2021 | 25 | |
| 17 | 2020 | 93 | |
| 18 | 2019 | 120 | |
| 19 | 2016 | 92 | |
| 20 | 2014 | 14 |
About Omar Abu Arqub
Omar Abu Arqub is a scholar working on Modeling and Simulation, Numerical Analysis and Applied Mathematics, having authored 144 papers that have together received 9.0k indexed citations. Recurring topics across this work include Fractional Differential Equations Solutions (128 papers), Differential Equations and Numerical Methods (59 papers), Nonlinear Differential Equations Analysis (40 papers), Iterative Methods for Nonlinear Equations (34 papers), Nonlinear Waves and Solitons (27 papers), Numerical methods for differential equations (22 papers), Fuzzy Systems and Optimization (19 papers) and Numerical methods in engineering (19 papers). The work is most often cited by research in Modeling and Simulation (5.3k citations), Numerical Analysis (2.9k citations) and Applied Mathematics (1.9k citations). Omar Abu Arqub has collaborated with scholars based in Jordan, Saudi Arabia and United Arab Emirates. Frequent co-authors include Mohammed Al‐Smadi, Shaher Momani, Ahmad El-Ajou, Zaer S. Abo‐Hammour, Banan Maayah, Nabil Shawagfeh, Tasawar Hayat, Mohammed Sh. Alhodaly, Zeyad Al–Zhour and Samir Hadid. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and Journal of Computational Physics.
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.