Mohammed Usman

815 total citations
51 papers, 474 citations indexed

About

Mohammed Usman is a scholar working on Electrical and Electronic Engineering, Computer Networks and Communications and Signal Processing. According to data from OpenAlex, Mohammed Usman has authored 51 papers receiving a total of 474 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Electrical and Electronic Engineering, 14 papers in Computer Networks and Communications and 11 papers in Signal Processing. Recurrent topics in Mohammed Usman's work include Speech and Audio Processing (8 papers), IoT and Edge/Fog Computing (6 papers) and Energy Efficient Wireless Sensor Networks (5 papers). Mohammed Usman is often cited by papers focused on Speech and Audio Processing (8 papers), IoT and Edge/Fog Computing (6 papers) and Energy Efficient Wireless Sensor Networks (5 papers). Mohammed Usman collaborates with scholars based in Saudi Arabia, India and Egypt. Mohammed Usman's co-authors include Mohammed Zubair M. Shamim, Hany S. Hussein, Mohammed Farrag, Mohamed Abbas, Sita Rani, Ram Krishn Mishra, Aman Kataria, Amit Kumar Mishra, Pramod Kumar and Pankaj Bhambri and has published in prestigious journals such as IEEE Access, Sensors and Journal of Crystal Growth.

In The Last Decade

Mohammed Usman

45 papers receiving 446 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mohammed Usman Saudi Arabia 11 133 95 82 58 51 51 474
Eatedal Alabdulkreem Saudi Arabia 14 170 1.3× 46 0.5× 56 0.7× 63 1.1× 133 2.6× 59 551
Susmita Ray India 5 178 1.3× 68 0.7× 69 0.8× 35 0.6× 63 1.2× 7 625
Amira Bibo Sallow Iraq 12 107 0.8× 64 0.7× 76 0.9× 44 0.8× 87 1.7× 46 548
Mohaimenul Azam Khan Raiaan Bangladesh 10 231 1.7× 42 0.4× 25 0.3× 98 1.7× 93 1.8× 26 589
Ala’ Abdulmajid Eshmawi Saudi Arabia 14 211 1.6× 41 0.4× 132 1.6× 69 1.2× 83 1.6× 38 585
Rajeswari Chengoden India 11 211 1.6× 57 0.6× 111 1.4× 40 0.7× 81 1.6× 15 732
Nadeem Anjum Pakistan 14 151 1.1× 75 0.8× 98 1.2× 20 0.3× 215 4.2× 49 527
Mohammed Assiri Saudi Arabia 12 94 0.7× 140 1.5× 85 1.0× 21 0.4× 35 0.7× 67 465
Mohammad Abdul Azim Bangladesh 8 101 0.8× 55 0.6× 69 0.8× 59 1.0× 58 1.1× 28 393
Mohammed Elbes Jordan 12 172 1.3× 80 0.8× 73 0.9× 20 0.3× 53 1.0× 29 422

Countries citing papers authored by Mohammed Usman

Since Specialization
Citations

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

Fields of papers citing papers by Mohammed Usman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mohammed Usman

This figure shows the co-authorship network connecting the top 25 collaborators of Mohammed Usman. A scholar is included among the top collaborators of Mohammed Usman 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 Mohammed Usman. Mohammed Usman 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.
Usman, Mohammed, et al.. (2024). Enhancing Advertising Initiatives: Using Machine Learning Algorithms to Engage Targeted Customer. 1433–1437. 1 indexed citations
2.
Hamdi, Monia, Ravikumar Chinthaginjala, Giovanni Pau, et al.. (2023). Reliable Data Transmission in Underwater Wireless Sensor Networks Using a Cluster-Based Routing Protocol Endorsed by Member Nodes. Electronics. 12(6). 1287–1287. 36 indexed citations
3.
Fatima, Hira, et al.. (2023). Influence of Optimal Hyperparameters on the Performance of Machine Learning Algorithms for Predicting Heart Disease. Processes. 11(3). 734–734. 31 indexed citations
4.
Usman, Mohammed, et al.. (2023). Artificial Intelligence Based Approach for Classification of Human Activities Using MEMS Sensors Data. Sensors. 23(3). 1275–1275. 17 indexed citations
5.
Mahmoud, Amena, Najah Alsubaie, Mohammed S. Alqahtani, et al.. (2023). Advanced Deep Learning Approaches for Accurate Brain Tumor Classification in Medical Imaging. Symmetry. 15(3). 571–571. 25 indexed citations
6.
Shukla, Neeraj Kumar, Abdulilah Mohammad Mayet, M. Ramkumar Raja, et al.. (2023). A unified test data volume compression scheme for circular scan architecture using hosted cuckoo optimization. The Journal of Supercomputing. 80(5). 6411–6434.
7.
Usman, Mohammed, et al.. (2023). Environmental Acoustic Noise Extraction and Classification using Deep Learning. 1–6. 1 indexed citations
8.
Raja, M. Ramkumar, et al.. (2023). Energy efficient enhanced all pass transformation fostered variable digital filter design based on approximate adder and approximate multiplier for eradicating sensor nodes noise. Analog Integrated Circuits and Signal Processing. 118(3). 399–413. 3 indexed citations
9.
Usman, Mohammed, et al.. (2022). Speech as a Biomarker for COVID-19 Detection Using Machine Learning. Computational Intelligence and Neuroscience. 2022. 1–12. 10 indexed citations
10.
Usman, Mohammed, et al.. (2021). A new medium access control mechanism for energy optimization in WSN: traffic control and data priority scheme. EURASIP Journal on Wireless Communications and Networking. 2021(1). 12 indexed citations
11.
Usman, Mohammed, et al.. (2021). Improved Direction-of-Arrival Estimation of an Acoustic Source Using Support Vector Regression and Signal Correlation. Sensors. 21(8). 2692–2692. 8 indexed citations
12.
Usman, Mohammed, et al.. (2021). Empirical Mode Decomposition for Analysis and Filtering of Speech Signals. Canadian Journal of Electrical and Computer Engineering. 44(3). 343–349. 2 indexed citations
13.
Hussein, Hany S., et al.. (2021). Fully Quadrature Subcarrier-Index Shift Keying for Efficient Underwater Acoustic Communications. IEEE Access. 9. 46975–46984. 7 indexed citations
14.
Usman, Mohammed, et al.. (2021). A High-Order EMSIW MIMO Antenna for Space-Constrained 5G Smartphone. Sensors. 21(24). 8350–8350. 10 indexed citations
15.
Rani, Sita, Ram Krishn Mishra, Mohammed Usman, et al.. (2021). Amalgamation of Advanced Technologies for Sustainable Development of Smart City Environment: A Review. IEEE Access. 9. 150060–150087. 67 indexed citations
16.
Usman, Mohammed, et al.. (2021). An Automatic Multimedia Likability Prediction System Based on Facial Expression of Observer. IEEE Access. 9. 110421–110434. 4 indexed citations
17.
Farrag, Mohammed, Mohammed Zubair M. Shamim, Mohammed Usman, & Hany S. Hussein. (2020). Load Balancing Scheme in Hybrid WiGig/LiFi Network. IEEE Access. 8. 222429–222438. 8 indexed citations
18.
Usman, Mohammed. (2015). Power Efficiency of Sign Test and Wilcoxon Signed Rank Test Relative to T-Test. Mathematical theory and modeling. 5(12). 53–59. 2 indexed citations
19.
Usman, Mohammed, et al.. (2014). Design and Implementation of Secured Online Census Information Management System Based on B/S Structure. International Journal of Innovative Research in Science Engineering and Technology. 3(5). 2 indexed citations
20.
Usman, Mohammed, et al.. (2014). On Consistency and Limitation of paired t-test, Sign and Wilcoxon Sign Rank Test. IOSR Journal of Mathematics. 10(1). 1–6. 33 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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