Khalid Shaker
Impact in
- Artificial Intelligence top 10%
- Natural Language Processing Techniques
- Topic Modeling
- Metaheuristic Optimization Algorithms Research
- Health Information Management top 10%
- Artificial Intelligence in Healthcare
Papers in
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- Natural Language Processing Techniques 3
- AI in cancer detection 3
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- Digital Media Forensic Detection 5
- Generative Adversarial Networks and Image Synthesis 3
- Advanced Steganography and Watermarking Techniques 2
- Co-authors
- Nazlia Omar (3 shared papers)Fadia Mayyas (1 shared paper)Sufyan Al-Janabi (7 shared papers)Oğuz Bayat (1 shared paper)Osman N. Uçan (1 shared paper)Salwani Abdullah (2 shared papers)Thomas G. Fraser (1 shared paper)Eugene H. Blackstone (1 shared paper)
In The Last Decade
Khalid Shaker
24 papers receiving 231 citations
Peers
Comparison fields: 5 of 69
- Artificial Intelligence 118
- Health Information Management 17
- Management Science and Operations Research 26
- Industrial and Manufacturing Engineering 20
- Computer Vision and Pattern Recognition 38
Countries citing papers authored by Khalid Shaker
This map shows the geographic impact of Khalid Shaker'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 Khalid Shaker with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Khalid Shaker more than expected).
Fields of papers citing papers by Khalid Shaker
This network shows the impact of papers produced by Khalid Shaker. 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 Khalid Shaker. The network helps show where Khalid Shaker may publish in the future.
Co-authors
The 22 scholars most cited alongside Khalid Shaker, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 48 | |
| 2 | 2013 | 37 | |
| 3 | 2018 | 24 | |
| 4 | 2020 | 22 | |
| 5 | Construction of Course Timetables Based on Great Deluge and Tabu Search | 2009 | 16 |
| 6 | 2016 | 15 | |
| 7 | 2021 | 13 | |
| 8 | 2019 | 12 | |
| 9 | 2009 | 8 | |
| 10 | 2011 | 7 | |
| 11 | 2017 | 5 | |
| 12 | 2023 | 4 | |
| 13 | 2012 | 3 | |
| 14 | 2014 | 3 | |
| 15 | 2024 | 3 | |
| 16 | 2022 | 3 | |
| 17 | 2019 | 3 | |
| 18 | 2022 | 3 | |
| 19 | 2023 | 3 | |
| 20 | 2020 | 2 |
About Khalid Shaker
Khalid Shaker is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Electrical and Electronic Engineering, Information Systems and Management Science and Operations Research, having authored 28 papers that have together received 240 indexed citations. Recurring topics across this work include Digital Media Forensic Detection (5 papers), Scheduling and Timetabling Solutions (4 papers), Vehicle Routing Optimization Methods (3 papers), Natural Language Processing Techniques (3 papers), AI in cancer detection (3 papers), Artificial Intelligence in Healthcare (3 papers), Generative Adversarial Networks and Image Synthesis (3 papers) and Advanced Steganography and Watermarking Techniques (2 papers). The work is most often cited by research in Artificial Intelligence (118 citations), Health Information Management (17 citations), Management Science and Operations Research (26 citations), Industrial and Manufacturing Engineering (20 citations) and Computer Vision and Pattern Recognition (38 citations). Khalid Shaker has collaborated with scholars based in Iraq, Malaysia and Oman. Frequent co-authors include Nazlia Omar, Fadia Mayyas, Sufyan Al-Janabi, Oğuz Bayat, Osman N. Uçan, Salwani Abdullah, Thomas G. Fraser, Eugene H. Blackstone, Steven M. Gordon and Gösta Pettersson. Their work appears in journals such as Journal of Southwest Jiaotong University, BMC Endocrine Disorders, Artificial Intelligence Review, Journal of Thoracic and Cardiovascular Surgery and Multimedia Tools and Applications.
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.