Muhammad Umar

552 total citations
18 papers, 449 citations indexed

About

Muhammad Umar is a scholar working on Artificial Intelligence, Electrical and Electronic Engineering and Computer Networks and Communications. According to data from OpenAlex, Muhammad Umar has authored 18 papers receiving a total of 449 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Artificial Intelligence, 4 papers in Electrical and Electronic Engineering and 3 papers in Computer Networks and Communications. Recurrent topics in Muhammad Umar's work include Metaheuristic Optimization Algorithms Research (5 papers), Mathematical and Theoretical Epidemiology and Ecology Models (3 papers) and Hydrological Forecasting Using AI (2 papers). Muhammad Umar is often cited by papers focused on Metaheuristic Optimization Algorithms Research (5 papers), Mathematical and Theoretical Epidemiology and Ecology Models (3 papers) and Hydrological Forecasting Using AI (2 papers). Muhammad Umar collaborates with scholars based in Pakistan, United States and Taiwan. Muhammad Umar's co-authors include Zulqurnain Sabir, Muhammad Asif Zahoor Raja, Muhammad Shoaib, Afaf S. Alwabli, G. Edward Suh, Zhiru Zhang, Weizhe Hua, Dumitru Bǎleanu, Muhammad Reazul Haque and Dac‐Nhuong Le and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and IEEE Access.

In The Last Decade

Muhammad Umar

16 papers receiving 432 citations

Peers

Muhammad Umar
Yolanda Guerrero–Sánchez Spain
Corrado Possieri Italy
Iftikhar Ahmad Pakistan
Nabeela Anwar Pakistan
Rafał Stanisławski Poland
J.E. Solís-Pérez Mexico
Ayaz Hussain Bukhari Pakistan
Milan R. Rapaić Serbia
Fiaz Hussain Shah Pakistan
Muhammad Anwaar Manzar Pakistan
Yolanda Guerrero–Sánchez Spain
Muhammad Umar
Citations per year, relative to Muhammad Umar Muhammad Umar (= 1×) peers Yolanda Guerrero–Sánchez

Countries citing papers authored by Muhammad Umar

Since Specialization
Citations

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

Fields of papers citing papers by Muhammad Umar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Muhammad Umar

This figure shows the co-authorship network connecting the top 25 collaborators of Muhammad Umar. A scholar is included among the top collaborators of Muhammad Umar 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 Muhammad Umar. Muhammad Umar is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

18 of 18 papers shown
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Umar, Muhammad, et al.. (2025). Lipoprotein Signal Peptide as Adjuvants: Leveraging Lipobox-Driven TLR2 Activation in Modern Vaccine Design. Vaccines. 13(1). 36–36. 2 indexed citations
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Umar, Muhammad, et al.. (2025). Hermes: Algorithm-System Co-design for Efficient Retrieval-Augmented Generation At-Scale. 958–973. 1 indexed citations
5.
Sabir, Zulqurnain, Muhammad Umar, Soheil Salahshour, & Rana Nicolas. (2024). A Gudermannian neural network performance for the numerical environmental and economic model. Alexandria Engineering Journal. 87. 478–488. 5 indexed citations
6.
Umar, Muhammad, et al.. (2024). LUMPY SKIN DISEASE: AN ENCROACHING RISK IN CATTLE FARMING. 49(1). 1–11. 1 indexed citations
7.
Umar, Muhammad, Fazli Amin, & Mohamed R. Ali. (2023). Neuro-swarm intelligence to study mosquito dispersal system in a heterogeneous atmosphere. Evolving Systems. 15(1). 171–183. 1 indexed citations
8.
Sabir, Zulqurnain & Muhammad Umar. (2023). Levenberg-Marquardt backpropagation neural network procedures for the consumption of hard water-based kidney function. 1(1). 127–138. 34 indexed citations
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Umar, Muhammad, et al.. (2023). Evaluation of Machine Learning based Network Attack Detection. SHILAP Revista de lepidopterología. 5(2). 57–66. 2 indexed citations
11.
Umar, Muhammad, Weizhe Hua, Zhiru Zhang, & G. Edward Suh. (2022). SoftVN. 160–172. 6 indexed citations
12.
Hua, Weizhe, Muhammad Umar, Zhiru Zhang, & G. Edward Suh. (2022). GuardNN. Proceedings of the 59th ACM/IEEE Design Automation Conference. 349–354. 16 indexed citations
13.
Hua, Weizhe, Muhammad Umar, Zhiru Zhang, & G. Edward Suh. (2022). MGX. 726–741. 16 indexed citations
14.
Sabir, Zulqurnain, Kashif Nisar, Muhammad Asif Zahoor Raja, et al.. (2021). IoT Technology Enabled Heuristic Model With Morlet Wavelet Neural Network for Numerical Treatment of Heterogeneous Mosquito Release Ecosystem. IEEE Access. 9. 132897–132913. 27 indexed citations
15.
Sabir, Zulqurnain, Muhammad Umar, Muhammad Asif Zahoor Raja, & Dumitru Bǎleanu. (2021). APPLICATIONS OF GUDERMANNIAN NEURAL NETWORK FOR SOLVING THE SITR FRACTAL SYSTEM. Fractals. 29(8). 32 indexed citations
16.
Umar, Muhammad, Muhammad Asif Zahoor Raja, Zulqurnain Sabir, Afaf S. Alwabli, & Muhammad Shoaib. (2020). A stochastic computational intelligent solver for numerical treatment of mosquito dispersal model in a heterogeneous environment. The European Physical Journal Plus. 135(7). 157 indexed citations
17.
Umar, Muhammad, Zulqurnain Sabir, & Muhammad Asif Zahoor Raja. (2019). Intelligent computing for numerical treatment of nonlinear prey–predator models. Applied Soft Computing. 80. 506–524. 139 indexed citations
18.

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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