Mujahid N. Syed

565 total citations
25 papers, 406 citations indexed

About

Mujahid N. Syed is a scholar working on Signal Processing, Computational Mechanics and Artificial Intelligence. According to data from OpenAlex, Mujahid N. Syed has authored 25 papers receiving a total of 406 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Signal Processing, 4 papers in Computational Mechanics and 4 papers in Artificial Intelligence. Recurrent topics in Mujahid N. Syed's work include Blind Source Separation Techniques (4 papers), Sustainable Supply Chain Management (3 papers) and Metaheuristic Optimization Algorithms Research (3 papers). Mujahid N. Syed is often cited by papers focused on Blind Source Separation Techniques (4 papers), Sustainable Supply Chain Management (3 papers) and Metaheuristic Optimization Algorithms Research (3 papers). Mujahid N. Syed collaborates with scholars based in Saudi Arabia, United States and Australia. Mujahid N. Syed's co-authors include Shokri Z. Selim, Fareeduddin Mohammed, Adnan Hassan, José C. Prı́ncipe, Pãnos M. Pardalos, El-Sayed M. El-Alfy, Uthman Baroudi, Salih O. Duffuaa, Pando Georgiev and Pãnos M. Pardalos and has published in prestigious journals such as IEEE Access, Sensors and International Journal of Production Research.

In The Last Decade

Mujahid N. Syed

21 papers receiving 396 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mujahid N. Syed Saudi Arabia 9 224 104 67 58 48 25 406
Xueliang Zhou China 7 118 0.5× 60 0.6× 48 0.7× 50 0.9× 195 4.1× 12 489
M. Jeihoonian Iran 6 170 0.8× 113 1.1× 39 0.6× 21 0.4× 94 2.0× 9 352
Christophe Rapine France 14 249 1.1× 275 2.6× 71 1.1× 24 0.4× 369 7.7× 35 707
Madhab Chandra Mandal India 12 154 0.7× 57 0.5× 120 1.8× 53 0.9× 73 1.5× 21 427
Rashed Sahraeian Iran 13 196 0.9× 123 1.2× 62 0.9× 15 0.3× 190 4.0× 52 428
Ravi Shankar Kumar India 13 312 1.4× 310 3.0× 92 1.4× 21 0.4× 184 3.8× 23 560
Seyyed Mohammad Hadji Molana Iran 15 143 0.6× 90 0.9× 59 0.9× 17 0.3× 208 4.3× 30 472
Alexandros Nizamis Greece 10 252 1.1× 113 1.1× 27 0.4× 26 0.4× 224 4.7× 29 565
Vittal Prabhu United States 11 108 0.5× 89 0.9× 75 1.1× 49 0.8× 414 8.6× 34 644

Countries citing papers authored by Mujahid N. Syed

Since Specialization
Citations

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

Fields of papers citing papers by Mujahid N. Syed

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mujahid N. Syed. 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 Mujahid N. Syed. The network helps show where Mujahid N. Syed may publish in the future.

Co-authorship network of co-authors of Mujahid N. Syed

This figure shows the co-authorship network connecting the top 25 collaborators of Mujahid N. Syed. A scholar is included among the top collaborators of Mujahid N. Syed 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 Mujahid N. Syed. Mujahid N. Syed 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.
Syed, Mujahid N.. (2025). Non-convex optimization problems with linear KKT subsystem. Journal of Global Optimization. 94(2). 459–480.
2.
Nazir, Aamer, Zulfiqar Ali, Ahmed S. Dalaq, et al.. (2025). Revolutionizing the Future of Smart Materials: A Review of 4D Printing, Design, Optimization, and Machine Learning Integration. Advanced Materials Technologies. 10(12). 6 indexed citations
3.
Syed, Mujahid N., et al.. (2025). A Two-Phase Drone-Truck Optimization Framework for Patrolling and Thermal Comfort: Sustainable Hajj Safety. IEEE Access. 13. 38745–38777. 1 indexed citations
4.
Syed, Mujahid N., et al.. (2025). Novel Predictive Factors to Boost Short-Term Electricity Demand Forecasting Using Machine Learning Models. IEEE Access. 13. 147265–147290.
5.
Mysorewala, Muhammad Faizan, et al.. (2024). A Novel Optimized Vibration-based Energy Harvester for Leak Detection in Wall-mounted Water Pipelines. Water Resources Management. 39(3). 1107–1127.
6.
Syed, Mujahid N.. (2023). Feature selection in machine learning via variable neighborhood search. Optimization Letters. 17(9). 2321–2345. 1 indexed citations
7.
Syed, Mujahid N.. (2021). Neighborhood density information in clustering. Annals of Mathematics and Artificial Intelligence. 90(7-9). 855–872.
8.
Syed, Mujahid N., Md. Rafiul Hassan, Irfan Ahmad, Mohammad Mehedi Hassan, & Victor Hugo C. de Albuquerque. (2020). A Novel Linear Classifier for Class Imbalance Data Arising in Failure-Prone Air Pressure Systems. IEEE Access. 9. 4211–4222. 9 indexed citations
9.
Syed, Mujahid N., et al.. (2019). Heuristic Approach for Real-Time Multi-Agent Trajectory Planning Under Uncertainty. IEEE Access. 8. 3812–3826. 15 indexed citations
10.
Syed, Mujahid N.. (2018). Big Data Blind Separation. Entropy. 20(3). 150–150. 1 indexed citations
11.
Syed, Mujahid N., et al.. (2016). Multi-product selective newsvendor problem with service level constraints and market selection flexibility. International Journal of Production Research. 55(1). 96–117. 14 indexed citations
12.
Mohammed, Fareeduddin, Adnan Hassan, Mujahid N. Syed, & Shokri Z. Selim. (2015). The Impact of Carbon Policies on Closed-loop Supply Chain Network Design. Procedia CIRP. 26. 335–340. 55 indexed citations
13.
Syed, Mujahid N., Pãnos M. Pardalos, & José C. Prı́ncipe. (2013). On the optimization properties of the correntropic loss function in data analysis. Optimization Letters. 8(3). 823–839. 27 indexed citations
14.
Syed, Mujahid N., Pãnos M. Pardalos, & José C. Prı́ncipe. (2013). Invexity of the Minimum Error Entropy Criterion. IEEE Signal Processing Letters. 20(12). 1159–1162. 8 indexed citations
15.
Syed, Mujahid N., Pando Georgiev, & Pãnos M. Pardalos. (2013). SEIZURE MANIFOLD OF THE EPILEPTIC BRAIN: A STATE SPACE RECONSTRUCTION APPROACH. 86–114. 1 indexed citations
16.
El-Alfy, El-Sayed M., Mujahid N. Syed, & Shokri Z. Selim. (2013). A Pareto-based hybrid multiobjective evolutionary approach for constrained multipath traffic engineering optimization in MPLS/GMPLS networks. Journal of Network and Computer Applications. 36(4). 1196–1207. 19 indexed citations
17.
Syed, Mujahid N., Pando Georgiev, & Pãnos M. Pardalos. (2012). A hierarchical approach for sparse source Blind Signal Separation problem. Computers & Operations Research. 41. 386–398. 7 indexed citations
18.
Syed, Mujahid N. & Salih O. Duffuaa. (2010). Determining optimal targets for multi-characteristic product using fuzzy logic and Taguchi type loss function. International Journal of Operational Research. 10(1). 41–41. 4 indexed citations
19.
Syed, Mujahid N., et al.. (2010). Optimal preventive maintenance warranty policy for repairable products with periodically increasing failure rate. International Journal of Operational Research. 9(2). 227–227. 24 indexed citations
20.
El-Alfy, El-Sayed M., Shokri Z. Selim, & Mujahid N. Syed. (2007). Solving the minimum-cost constrained multipath routing with load balancing in MPLS networks using an evolutionary method. 4433–4438. 9 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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