Kamran Javed

1.8k total citations · 1 hit paper
36 papers, 1.2k citations indexed

About

Kamran Javed is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Control and Systems Engineering. According to data from OpenAlex, Kamran Javed has authored 36 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Computer Vision and Pattern Recognition, 10 papers in Artificial Intelligence and 5 papers in Control and Systems Engineering. Recurrent topics in Kamran Javed's work include Generative Adversarial Networks and Image Synthesis (7 papers), Machine Learning and ELM (5 papers) and Fault Detection and Control Systems (5 papers). Kamran Javed is often cited by papers focused on Generative Adversarial Networks and Image Synthesis (7 papers), Machine Learning and ELM (5 papers) and Fault Detection and Control Systems (5 papers). Kamran Javed collaborates with scholars based in Pakistan, South Korea and France. Kamran Javed's co-authors include Rafael Gouriveau, Noureddine Zerhouni, Patrick Nectoux, Juneho Yi, Daniel Hissel, Xiang Li, Ryad Zemouri, Xiang Li, Jun‐Dong Cho and Saeed Mian Qaisar and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Power Sources and Scientific Reports.

In The Last Decade

Kamran Javed

35 papers receiving 1.2k citations

Hit Papers

Enabling Health Monitoring Approach Based on Vibration Da... 2014 2026 2018 2022 2014 50 100 150 200 250

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kamran Javed Pakistan 14 550 331 269 227 205 36 1.2k
Azzeddine Bakdi Norway 22 664 1.2× 254 0.8× 397 1.5× 181 0.8× 108 0.5× 36 1.3k
Yu Ding China 19 362 0.7× 162 0.5× 220 0.8× 106 0.5× 82 0.4× 62 1.0k
Shuai Zheng China 12 480 0.9× 195 0.6× 95 0.4× 100 0.4× 174 0.8× 25 960
Laifa Tao China 18 547 1.0× 207 0.6× 397 1.5× 67 0.3× 185 0.9× 62 1.1k
Hongfu Zuo China 20 747 1.4× 495 1.5× 321 1.2× 56 0.2× 314 1.5× 163 1.7k
Sheng Xiang China 18 965 1.8× 640 1.9× 137 0.5× 85 0.4× 234 1.1× 40 1.6k
Zhisheng Zhang China 17 298 0.5× 195 0.6× 284 1.1× 66 0.3× 159 0.8× 105 1.1k
Jin Cui China 12 554 1.0× 330 1.0× 84 0.3× 52 0.2× 164 0.8× 60 1.1k
Yafei Deng China 13 434 0.8× 433 1.3× 82 0.3× 76 0.3× 114 0.6× 14 974
Nordin Saad Malaysia 19 879 1.6× 341 1.0× 636 2.4× 110 0.5× 49 0.2× 168 1.6k

Countries citing papers authored by Kamran Javed

Since Specialization
Citations

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

Fields of papers citing papers by Kamran Javed

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kamran Javed

This figure shows the co-authorship network connecting the top 25 collaborators of Kamran Javed. A scholar is included among the top collaborators of Kamran Javed 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 Kamran Javed. Kamran Javed 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
2.
Varnier, Christophe, et al.. (2024). Unlocking maintenance insights in industrial text through semantic search. Computers in Industry. 157-158. 104083–104083. 7 indexed citations
3.
Hanif, Muhammad, Ahmar Rashid, Khursheed Aurangzeb, et al.. (2024). An Optimized Data and Model Centric Approach for Multi-Class Automated Urine Sediment Classification. IEEE Access. 12. 59500–59520. 3 indexed citations
4.
Javed, Kamran, et al.. (2024). A proficient approach for the classification of Alzheimer’s disease using a hybridization of machine learning and deep learning. Scientific Reports. 14(1). 30925–30925. 3 indexed citations
5.
Hussain, Ghulam, et al.. (2022). Multi-Scale Pooling In Deep Neural Networks For Dense Crowd Estimation. SHILAP Revista de lepidopterología. 5(1). 54–63. 1 indexed citations
6.
Javed, Kamran, et al.. (2021). Multiple Sclerosis Lesion Segmentation in Brain MRI Using Inception Modules Embedded in a Convolutional Neural Network. Journal of Healthcare Engineering. 2021. 1–10. 18 indexed citations
7.
Khan, Ammad Hassan, et al.. (2020). Monitoring and Detection of Security Events through IoT Device Identification Using Application Layer Protocols. International Journal of Hybrid Information Technology. 13(2). 1–16. 1 indexed citations
8.
Rizwan, Muhammad, et al.. (2020). IMPACT OF RISK MANAGEMENT ON PROFITABILITY OF BANKS. SHILAP Revista de lepidopterología. 3(3). 22–26. 1 indexed citations
9.
Javed, Kamran, et al.. (2020). Effective Removal of User-Selected Foreground Object From Facial Images Using a Novel GAN-Based Network. IEEE Access. 8. 109648–109661. 20 indexed citations
10.
Javed, Kamran, et al.. (2019). Competitive Analytics from Social Media for Five Leading Sportswear Stores. International Journal of Academic Research in Business and Social Sciences. 9(4). 1 indexed citations
11.
Javed, Kamran, et al.. (2019). Critical Analysis of Software Development Methodologies based on Project Risk Management. The International Journal of Academic Research in Business and Social Sciences. 9(12). 253–263. 2 indexed citations
12.
Maheshwari, Mukesh Kumar, et al.. (2019). A CNN Based Automated Activity and Food Recognition Using Wearable Sensor for Preventive Healthcare. Electronics. 8(12). 1425–1425. 22 indexed citations
13.
Bilal, Muhammad, et al.. (2019). The Utilization of Consignable Multi-Model in Detection and Classification of Pulmonary Nodules. International Journal of Computer Applications. 177(27). 23–28. 1 indexed citations
14.
Javed, Kamran, Ghulam Hussain, Furqan Shaukat, & Seong Oun Hwang. (2019). A neural network approach to remove rain using reconstruction and feature losses. Neural Computing and Applications. 32(17). 13129–13138. 4 indexed citations
15.
Javed, Kamran, et al.. (2019). Image unmosaicing without location information using stacked GAN. IET Computer Vision. 13(6). 588–594. 7 indexed citations
16.
Javed, Kamran, Rafael Gouriveau, & Noureddine Zerhouni. (2015). A New Multivariate Approach for Prognostics Based on Extreme Learning Machine and Fuzzy Clustering. IEEE Transactions on Cybernetics. 45(12). 2626–2639. 149 indexed citations
17.
Javed, Kamran, Rafael Gouriveau, Noureddine Zerhouni, & Patrick Nectoux. (2014). Enabling Health Monitoring Approach Based on Vibration Data for Accurate Prognostics. IEEE Transactions on Industrial Electronics. 62(1). 647–656. 284 indexed citations breakdown →
18.
Javed, Kamran, Rafael Gouriveau, Noureddine Zerhouni, Ryad Zemouri, & Xiang Li. (2012). Robust, reliable and applicable tool wear monitoring and prognostic: Approach based on an improved-extreme learning machine. 1–9. 29 indexed citations
19.
Javed, Kamran, Rafael Gouriveau, Ryad Zemouri, & Noureddine Zerhouni. (2011). Improving data-driven prognostics by assessing predictability of features. Annual Conference of the PHM Society. 3(1). 12 indexed citations
20.
Javed, Kamran. (2006). AN EVALUATION OF MICRO CREDIT SCHEMES OF SMALL AND MEDIUM ENTERPRISE DEVELOPMENT AUTHORITY (SMEDA). 8 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.

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