Abdullah Al-Dujaili

583 total citations
20 papers, 239 citations indexed

About

Abdullah Al-Dujaili is a scholar working on Artificial Intelligence, Computational Theory and Mathematics and Management Science and Operations Research. According to data from OpenAlex, Abdullah Al-Dujaili has authored 20 papers receiving a total of 239 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Artificial Intelligence, 9 papers in Computational Theory and Mathematics and 6 papers in Management Science and Operations Research. Recurrent topics in Abdullah Al-Dujaili's work include Metaheuristic Optimization Algorithms Research (10 papers), Advanced Multi-Objective Optimization Algorithms (9 papers) and Adversarial Robustness in Machine Learning (4 papers). Abdullah Al-Dujaili is often cited by papers focused on Metaheuristic Optimization Algorithms Research (10 papers), Advanced Multi-Objective Optimization Algorithms (9 papers) and Adversarial Robustness in Machine Learning (4 papers). Abdullah Al-Dujaili collaborates with scholars based in Singapore, United States and United Kingdom. Abdullah Al-Dujaili's co-authors include Una-May O’Reilly, Suresh Sundaram, Erik Hemberg, Muhammad Rizwan Tanweer, Weng‐Fai Wong, Andrei Hagiescu, Shashank Srikant, N. Sundararajan, K. R. Subramanian and Suhaib A. Fahmy and has published in prestigious journals such as Information Sciences, IEEE Transactions on Very Large Scale Integration (VLSI) Systems and Journal of Global Optimization.

In The Last Decade

Abdullah Al-Dujaili

20 papers receiving 236 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Abdullah Al-Dujaili Singapore 9 174 103 83 57 24 20 239
Victor Bittorf United States 4 145 0.8× 51 0.5× 58 0.7× 24 0.4× 9 0.4× 5 254
Madhav Jha United States 9 150 0.9× 47 0.5× 66 0.8× 100 1.8× 8 0.3× 17 294
Ragesh Jaiswal India 9 211 1.2× 66 0.6× 49 0.6× 129 2.3× 4 0.2× 27 316
Ekaterina Gonina United States 10 160 0.9× 77 0.7× 37 0.4× 14 0.2× 49 2.0× 18 277
Peter Emde Boas Netherlands 2 179 1.0× 62 0.6× 125 1.5× 117 2.1× 61 2.5× 2 325
José Ramón González de Mendívil Spain 10 57 0.3× 14 0.1× 121 1.5× 120 2.1× 36 1.5× 47 258
René Peeters Netherlands 5 127 0.7× 34 0.3× 69 0.8× 86 1.5× 4 0.2× 8 295
Richard L. Schwartz United States 9 196 1.1× 98 1.0× 71 0.9× 95 1.7× 70 2.9× 27 316
Vladimir Braverman United States 10 336 1.9× 99 1.0× 442 5.3× 50 0.9× 38 1.6× 18 592
Stefan Schamberger Germany 8 47 0.3× 26 0.3× 128 1.5× 52 0.9× 35 1.5× 12 204

Countries citing papers authored by Abdullah Al-Dujaili

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

20 of 20 papers shown
1.
Hemberg, Erik, et al.. (2021). Spatial Coevolution for Generative Adversarial Network Training. Zenodo (CERN European Organization for Nuclear Research). 1(2). 1–28. 5 indexed citations
2.
Al-Dujaili, Abdullah & Una-May O’Reilly. (2020). Sign Bits Are All You Need for Black-Box Attacks. International Conference on Learning Representations. 12 indexed citations
3.
Liu, Sijia, Songtao Lu, Xiangyi Chen, et al.. (2020). Min-Max Optimization without Gradients: Convergence and Applications to Black-Box Evasion and Poisoning Attacks. 1. 6282–6293. 11 indexed citations
4.
Verwer, Sicco, et al.. (2020). The Robust Malware Detection Challenge and Greedy Random Accelerated Multi-Bit Search. Research Repository (Delft University of Technology). 61–70. 7 indexed citations
5.
Al-Dujaili, Abdullah, et al.. (2020). High Throughput Spatial Convolution Filters on FPGAs. IEEE Transactions on Very Large Scale Integration (VLSI) Systems. 28(6). 1392–1402. 5 indexed citations
6.
Al-Dujaili, Abdullah, Shashank Srikant, Erik Hemberg, & Una-May O’Reilly. (2019). On the application of Danskin’s theorem to derivative-free minimax problems. AIP conference proceedings. 2070. 20026–20026. 11 indexed citations
7.
Al-Dujaili, Abdullah, et al.. (2018). Adversarial Deep Learning for Robust Detection of Binary Encoded Malware. 76–82. 99 indexed citations
8.
Al-Dujaili, Abdullah, et al.. (2018). Pareto-aware strategies for faster convergence in multi-objective multi-scale search optimization. Information Sciences. 454-455. 1–15. 3 indexed citations
9.
Al-Dujaili, Abdullah & Suresh Sundaram. (2018). Revisiting norm optimization for multi-objective black-box problems: a finite-time analysis. Journal of Global Optimization. 73(3). 659–673. 3 indexed citations
10.
Al-Dujaili, Abdullah & Suresh Sundaram. (2017). Multi-Objective Simultaneous Optimistic Optimization. Information Sciences. 424. 159–174. 8 indexed citations
11.
Al-Dujaili, Abdullah & Suresh Sundaram. (2016). A MATLAB Toolbox for Surrogate-Assisted Multi-Objective Optimization. 1209–1216. 2 indexed citations
12.
Al-Dujaili, Abdullah & Suresh Sundaram. (2016). A Naive multi-scale search algorithm for global optimization problems. Information Sciences. 372. 294–312. 7 indexed citations
13.
Al-Dujaili, Abdullah & Suresh Sundaram. (2016). Dividing rectangles attack multi-objective optimization. 3606–3613. 15 indexed citations
14.
Tanweer, Muhammad Rizwan, Abdullah Al-Dujaili, & Suresh Sundaram. (2016). Multi-Objective Self Regulating Particle Swarm Optimization algorithm for BMOBench platform. 1–6. 3 indexed citations
15.
Al-Dujaili, Abdullah, et al.. (2016). Hypervolume-Based DIRECT for Multi-Objective Optimisation. 1201–1208. 11 indexed citations
16.
Al-Dujaili, Abdullah, Suresh Sundaram, & N. Sundararajan. (2016). MSO: a framework for bound-constrained black-box global optimization algorithms. Journal of Global Optimization. 66(4). 811–845. 6 indexed citations
17.
Al-Dujaili, Abdullah, Muhammad Rizwan Tanweer, & Suresh Sundaram. (2015). DE vs. PSO: A Performance Assessment for Expensive Problems. 1711–1718. 5 indexed citations
18.
Al-Dujaili, Abdullah, K. R. Subramanian, & Suresh Sundaram. (2015). HumanCog: A cognitive architecture for solving optimization problems. 1. 3220–3227. 9 indexed citations
19.
Al-Dujaili, Abdullah, Muhammad Rizwan Tanweer, & Suresh Sundaram. (2015). On the Performance of Particle Swarm Optimization Algorithms in Solving Cheap Problems. 3. 1318–1325. 3 indexed citations
20.
Al-Dujaili, Abdullah, et al.. (2012). Guppy: A GPU-like soft-core processor. National University of Singapore. 57–60. 14 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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Victor Bittorf Breakdown of academic impact, for papers by Madhav Jha Breakdown of academic impact, for papers by Ragesh Jaiswal Breakdown of academic impact, for papers by Ekaterina Gonina Breakdown of academic impact, for papers by Peter Emde Boas Breakdown of academic impact, for papers by José Ramón González de Mendívil Breakdown of academic impact, for papers by René Peeters Breakdown of academic impact, for papers by Richard L. Schwartz Breakdown of academic impact, for papers by Vladimir Braverman Breakdown of academic impact, for papers by Stefan Schamberger
Rankless by CCL
2026