Abdullah Al-Dujaili
- Artificial Intelligence top 10%
- Signal Processing top 5%
- Computer Networks and Communications top 10%
- Computational Theory and Mathematics top 10%
- Hardware and Architecture
- Co-authors
- Una-May O’ReillySuresh SundaramErik HembergWeng‐Fai WongMuhammad Rizwan TanweerAndrei HagiescuShashank SrikantK. R. Subramanian
- Topics
- Metaheuristic Optimization Algorithms Research (10 papers)Advanced Multi-Objective Optimization Algorithms (9 papers)Adversarial Robustness in Machine Learning (4 papers)
- Journals
- Information SciencesIEEE Transactions on Very Large Scale Integration (VLSI) SystemsJournal of Global Optimization
- Partner nations
- SingaporeUnited StatesUnited Kingdom
In The Last Decade
Abdullah Al-Dujaili
20 papers receiving 236 citations
Peers
Comparison fields: 5 of 41
- Artificial Intelligence 174
- Signal Processing 103
- Computer Networks and Communications 83
- Computational Theory and Mathematics 57
- Hardware and Architecture 24
Countries citing papers authored by Abdullah Al-Dujaili
This map shows the geographic impact of Abdullah Al-Dujaili'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 Abdullah Al-Dujaili with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Abdullah Al-Dujaili more than expected).
Fields of papers citing papers by Abdullah Al-Dujaili
This network shows the impact of papers produced by Abdullah Al-Dujaili. 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 Abdullah Al-Dujaili. The network helps show where Abdullah Al-Dujaili may publish in the future.
Co-authorship network of co-authors of Abdullah Al-Dujaili
This figure shows the co-authorship network connecting the top 25 collaborators of Abdullah Al-Dujaili. A scholar is included among the top collaborators of Abdullah Al-Dujaili 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 Abdullah Al-Dujaili. Abdullah Al-Dujaili is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 5 | |
| 2 | Sign Bits Are All You Need for Black-Box Attacks | 12 |
| 3 | Min-Max Optimization without Gradients: Convergence and Applications to Black-Box Evasion and Poisoning Attacks | 11 |
| 4 | 5 | |
| 5 | 7 | |
| 6 | 11 | |
| 7 | 99 | |
| 8 | 3 | |
| 9 | 3 | |
| 10 | 8 | |
| 11 | 15 | |
| 12 | 7 | |
| 13 | 2 | |
| 14 | 11 | |
| 15 | 3 | |
| 16 | 6 | |
| 17 | 5 | |
| 18 | 9 | |
| 19 | 3 | |
| 20 | 14 |
About Abdullah Al-Dujaili
Abdullah Al-Dujaili is a scholar working on Computational Theory and Mathematics, Artificial Intelligence and Management Science and Operations Research, having authored 20 papers that have together received 239 indexed citations. Recurring topics across this work include Metaheuristic Optimization Algorithms Research (10 papers), Advanced Multi-Objective Optimization Algorithms (9 papers) and Adversarial Robustness in Machine Learning (4 papers). The work is most often cited by research in Signal Processing (103 citations), Artificial Intelligence (174 citations) and Computer Networks and Communications (83 citations). Abdullah Al-Dujaili has collaborated with scholars based in Singapore, United States and United Kingdom. Frequent co-authors include Una-May O’Reilly, Suresh Sundaram, Erik Hemberg, Weng‐Fai Wong, Muhammad Rizwan Tanweer, Andrei Hagiescu, Shashank Srikant, K. R. Subramanian, N. Sundararajan and Suhaib A. Fahmy. Their work appears in journals such as Information Sciences, IEEE Transactions on Very Large Scale Integration (VLSI) Systems and Journal of Global Optimization.
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.