Khairan Rajab

1.1k total citations
51 papers, 738 citations indexed

About

Khairan Rajab is a scholar working on Computational Mechanics, Artificial Intelligence and Computer Vision and Pattern Recognition. According to data from OpenAlex, Khairan Rajab has authored 51 papers receiving a total of 738 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Computational Mechanics, 10 papers in Artificial Intelligence and 9 papers in Computer Vision and Pattern Recognition. Recurrent topics in Khairan Rajab's work include Advanced Numerical Analysis Techniques (12 papers), 3D Shape Modeling and Analysis (6 papers) and Manufacturing Process and Optimization (5 papers). Khairan Rajab is often cited by papers focused on Advanced Numerical Analysis Techniques (12 papers), 3D Shape Modeling and Analysis (6 papers) and Manufacturing Process and Optimization (5 papers). Khairan Rajab collaborates with scholars based in Saudi Arabia, United States and Pakistan. Khairan Rajab's co-authors include Firuz Kamalov, Fadi Thabtah, Les A. Piegl, Asadullah Shaikh, Mana Saleh Al Reshan, Adel Rajab, Aswani Kumar Cherukuri, Adel Sulaiman, Ikhlaas Gurrib and M. A. Elmagzoub and has published in prestigious journals such as IEEE Access, Sensors and Sustainability.

In The Last Decade

Khairan Rajab

50 papers receiving 703 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Khairan Rajab Saudi Arabia 14 155 151 108 106 71 51 738
Ali Rizwan Saudi Arabia 15 131 0.8× 143 0.9× 61 0.6× 22 0.2× 29 0.4× 50 797
Coşkun Bayrak United States 14 147 0.9× 130 0.9× 86 0.8× 38 0.4× 28 0.4× 104 819
Hussain AlSalman Saudi Arabia 21 148 1.0× 332 2.2× 75 0.7× 12 0.1× 52 0.7× 62 1.1k
Pranowo Pranowo Indonesia 14 142 0.9× 94 0.6× 42 0.4× 18 0.2× 115 1.6× 105 772
Elena Verdú Spain 17 151 1.0× 251 1.7× 138 1.3× 18 0.2× 10 0.1× 70 905
Jason C. Hung Taiwan 17 149 1.0× 340 2.3× 100 0.9× 28 0.3× 7 0.1× 117 966
Shahnorbanun Sahran Malaysia 17 74 0.5× 366 2.4× 47 0.4× 93 0.9× 7 0.1× 88 1.0k
Maryam Altalhi Saudi Arabia 18 79 0.5× 342 2.3× 47 0.4× 26 0.2× 8 0.1× 34 778
Alexander Agung Santoso Gunawan Indonesia 15 166 1.1× 190 1.3× 62 0.6× 51 0.5× 4 0.1× 167 991
Caixia Liu China 17 44 0.3× 129 0.9× 102 0.9× 13 0.1× 10 0.1× 57 679

Countries citing papers authored by Khairan Rajab

Since Specialization
Citations

This map shows the geographic impact of Khairan Rajab'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 Khairan Rajab with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Khairan Rajab more than expected).

Fields of papers citing papers by Khairan Rajab

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Khairan Rajab. 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 Khairan Rajab. The network helps show where Khairan Rajab may publish in the future.

Co-authorship network of co-authors of Khairan Rajab

This figure shows the co-authorship network connecting the top 25 collaborators of Khairan Rajab. A scholar is included among the top collaborators of Khairan Rajab 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 Khairan Rajab. Khairan Rajab 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.
Reshan, Mana Saleh Al, et al.. (2025). Toward Drought Modeling in South Asia: Machine Learning Approaches, Challenges, and Opportunities. IEEE Access. 13. 87654–87671. 1 indexed citations
2.
Elmagzoub, M. A., Sheifali Gupta, Adel Rajab, et al.. (2024). Improving Endoscopic Image Analysis: Attention Mechanism Integration in Grid Search Fine-Tuned Transfer Learning Model for Multi-Class Gastrointestinal Disease Classification. IEEE Access. 12. 80345–80358. 5 indexed citations
3.
Rahman, Wahidur, et al.. (2024). Paddy insect identification using deep features with lion optimization algorithm. Heliyon. 10(12). e32400–e32400. 3 indexed citations
4.
Gupta, Sheifali, et al.. (2023). Semantic Segmentation of Gastrointestinal Tract in MRI Scans Using PSPNet Model With ResNet34 Feature Encoding Network. IEEE Access. 11. 132532–132543. 6 indexed citations
5.
Senyuk, Mihail, et al.. (2023). Evaluation of the Fast Synchrophasors Estimation Algorithm Based on Physical Signals. Mathematics. 11(2). 256–256. 3 indexed citations
6.
Rahman, Hameedur, et al.. (2023). Improving in-text citation reason extraction and classification using supervised machine learning techniques. Computer Speech & Language. 82. 101526–101526. 3 indexed citations
7.
Kashyap, Dharambir, Riya Sharma, Neelam Goel, et al.. (2023). Coding roles of long non-coding RNAs in breast cancer: Emerging molecular diagnostic biomarkers and potential therapeutic targets with special reference to chemotherapy resistance. Frontiers in Genetics. 13. 993687–993687. 9 indexed citations
8.
Alı, Ghassan Ahmed, Khairan Rajab, Adel Rajab, et al.. (2023). Thalassemia Screening by Sentiment Analysis on Social Media Platform Twitter. Computers, materials & continua/Computers, materials & continua (Print). 76(1). 665–686. 4 indexed citations
9.
Sohail, Hamza, Mahmood ul Hassan, M. A. Elmagzoub, et al.. (2023). BBSF: Blockchain-Based Secure Weather Forecasting Information through Routing Protocol in Vanet. Sensors. 23(11). 5259–5259. 14 indexed citations
10.
Rasheed, Jawad, et al.. (2023). Performance comparison of machine learning driven approaches for classification of complex noises in quick response code images. Heliyon. 9(4). e15108–e15108. 7 indexed citations
11.
Kamalov, Firuz, Khairan Rajab, Aswani Kumar Cherukuri, Ashraf Elnagar, & Murodbek Safaraliev. (2022). Deep learning for Covid-19 forecasting: State-of-the-art review.. Neurocomputing. 511. 142–154. 28 indexed citations
12.
Uppal, Mudita, Deepali Gupta, Sapna Juneja, et al.. (2022). Cloud-Based Fault Prediction for Real-Time Monitoring of Sensor Data in Hospital Environment Using Machine Learning. Sustainability. 14(18). 11667–11667. 28 indexed citations
13.
Alqahtani, Ali, Adel Rajab, Mahmood ul Hassan, et al.. (2022). Improved-Equalized Cluster Head Election Routing Protocol for Wireless Sensor Networks. Computer Systems Science and Engineering. 44(1). 845–858. 5 indexed citations
14.
Rajab, Adel, Asadullah Shaikh, Abdullah Alghamdi, et al.. (2022). UCLAONT: Ontology-Based UML Class Models Verification Tool. Applied Sciences. 12(3). 1397–1397. 1 indexed citations
15.
Rajab, Adel, et al.. (2021). Cryptography based Techniques of Encryption for Security of Data in Cloud Computing Paradigm. International Journal of Engineering Trends and Technology. 69(10). 1–6. 5 indexed citations
16.
Rajab, Khairan & Firuz Kamalov. (2021). Finite Sample Based Mutual Information. IEEE Access. 9. 118871–118879. 5 indexed citations
17.
Kamalov, Firuz, Ikhlaas Gurrib, & Khairan Rajab. (2021). Financial Forecasting with Machine Learning: Price Vs Return. Journal of Computer Science. 17(3). 251–264. 32 indexed citations
18.
Thabtah, Fadi, Firuz Kamalov, & Khairan Rajab. (2018). A new computational intelligence approach to detect autistic features for autism screening. International Journal of Medical Informatics. 117. 112–124. 128 indexed citations
19.
Rajab, Khairan & Les A. Piegl. (2013). A Knowledge-Guided Approach to Line NURBS Curve Intersection. Computer-Aided Design and Applications. 11(1). 1–9. 8 indexed citations
20.
Piegl, Les A., et al.. (2009). Fault-tolerant Computing in a Knowledge-guided NURBS Environment. Computer-Aided Design and Applications. 6(6). 809–823. 4 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

Rankless by CCL
2026