Malik Braik
- Artificial Intelligence top 1%
- Plant Science top 5%
- Analytical Chemistry top 1%
- Computer Vision and Pattern Recognition top 2%
- Computational Theory and Mathematics top 1%
- Co-authors
- Abdelaziz I. HammouriMohammed Azmi Al‐BetarMohammed A. AwadallahJaffar AtwanSulieman Bani‐AhmadAlaa ShetaDheeb AlbashishIyad Abu Doush
- Topics
- Metaheuristic Optimization Algorithms Research (28 papers)Evolutionary Algorithms and Applications (16 papers)Advanced Multi-Objective Optimization Algorithms (9 papers)
- Partner nations
- JordanUnited Arab EmiratesPalestinian Territory
In The Last Decade
Malik Braik
44 papers receiving 2.2k citations
Hit Papers
Peers
Comparison fields: 5 of 133
- Artificial Intelligence 1.1k
- Plant Science 648
- Analytical Chemistry 366
- Computer Vision and Pattern Recognition 365
- Computational Theory and Mathematics 351
Countries citing papers authored by Malik Braik
This map shows the geographic impact of Malik Braik'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 Malik Braik with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Malik Braik more than expected).
Fields of papers citing papers by Malik Braik
This network shows the impact of papers produced by Malik Braik. 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 Malik Braik. The network helps show where Malik Braik may publish in the future.
Co-authorship network of co-authors of Malik Braik
This figure shows the co-authorship network connecting the top 25 collaborators of Malik Braik. A scholar is included among the top collaborators of Malik Braik 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 Malik Braik. Malik Braik is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 12 | |
| 2 | 8 | |
| 3 | 1 | |
| 4 | 4 | |
| 5 | 5 | |
| 6 | 2 | |
| 7 | 11 | |
| 8 | 37 | |
| 9 | 10 | |
| 10 | 4 | |
| 11 | 3 | |
| 12 | 14 | |
| 13 | 7 | |
| 14 | 22 | |
| 15 | 6 | |
| 16 | White Shark Optimizer: A novel bio-inspired meta-heuristic algorithm for global optimization problemsbreakdown → | 504 |
| 17 | 59 | |
| 18 | 24 | |
| 19 | An Implemented Approach for Potentially Breast Cancer Detection Using Extracted Features and Artificial Neural Networks | 5 |
| 20 | Image enhancement using particle swarm optimization | 61 |
About Malik Braik
Malik Braik is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Computational Theory and Mathematics, having authored 48 papers that have together received 2.4k indexed citations. Recurring topics across this work include Metaheuristic Optimization Algorithms Research (28 papers), Evolutionary Algorithms and Applications (16 papers) and Advanced Multi-Objective Optimization Algorithms (9 papers). The work is most often cited by research in Analytical Chemistry (366 citations), Artificial Intelligence (1.1k citations) and Computational Theory and Mathematics (351 citations). Malik Braik has collaborated with scholars based in Jordan, United Arab Emirates and Palestinian Territory. Frequent co-authors include Abdelaziz I. Hammouri, Mohammed Azmi Al‐Betar, Mohammed A. Awadallah, Jaffar Atwan, Sulieman Bani‐Ahmad, Alaa Sheta, Dheeb Albashish, Iyad Abu Doush, Heba Al-Hiary and Aladdin Ayesh. Their work appears in journals such as Expert Systems with Applications, Applied Soft Computing and Knowledge-Based Systems.
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.