Abdulmajid Murad

645 total citations · 1 hit paper
13 papers, 430 citations indexed

About

Abdulmajid Murad is a scholar working on Artificial Intelligence, Electrical and Electronic Engineering and Computer Vision and Pattern Recognition. According to data from OpenAlex, Abdulmajid Murad has authored 13 papers receiving a total of 430 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Artificial Intelligence, 6 papers in Electrical and Electronic Engineering and 3 papers in Computer Vision and Pattern Recognition. Recurrent topics in Abdulmajid Murad's work include Advanced Wireless Communication Techniques (3 papers), Algorithms and Data Compression (3 papers) and Error Correcting Code Techniques (2 papers). Abdulmajid Murad is often cited by papers focused on Advanced Wireless Communication Techniques (3 papers), Algorithms and Data Compression (3 papers) and Error Correcting Code Techniques (2 papers). Abdulmajid Murad collaborates with scholars based in United States, Norway and South Korea. Abdulmajid Murad's co-authors include Jae-Young Pyun, Thomas E. Fuja, Kerstin Bach, Gavin Taylor, Frank Alexander Kraemer and Goo‐Rak Kwon and has published in prestigious journals such as IEEE Transactions on Information Theory, Sensors and Future Generation Computer Systems.

In The Last Decade

Abdulmajid Murad

8 papers receiving 408 citations

Hit Papers

Deep Recurrent Neural Networks for Human Activity Recogni... 2017 2026 2020 2023 2017 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Abdulmajid Murad United States 6 272 141 139 106 101 13 430
Kyle Feuz United States 8 347 1.3× 260 1.8× 89 0.6× 56 0.5× 81 0.8× 13 556
Andrea Kulakov North Macedonia 11 137 0.5× 134 1.0× 164 1.2× 69 0.7× 73 0.7× 44 435
Marco Bassoli Italy 7 243 0.9× 78 0.6× 148 1.1× 139 1.3× 121 1.2× 8 453
Maria Cornacchia United States 5 255 0.9× 71 0.5× 82 0.6× 116 1.1× 47 0.5× 17 390
Florenc Demrozi Italy 9 256 0.9× 83 0.6× 120 0.9× 160 1.5× 93 0.9× 33 461
Rennong Yang China 4 214 0.8× 87 0.6× 77 0.6× 98 0.9× 33 0.3× 5 353
Ehsan Nazerfard Iran 10 257 0.9× 127 0.9× 97 0.7× 40 0.4× 86 0.9× 18 373
Yin Tang China 11 514 1.9× 187 1.3× 134 1.0× 231 2.2× 45 0.4× 26 659
Sawsan M. Mahmoud Iraq 9 232 0.9× 122 0.9× 89 0.6× 24 0.2× 79 0.8× 30 442
Lukas Köping Germany 6 281 1.0× 113 0.8× 99 0.7× 116 1.1× 87 0.9× 9 385

Countries citing papers authored by Abdulmajid Murad

Since Specialization
Citations

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

Fields of papers citing papers by Abdulmajid Murad

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Abdulmajid Murad

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

All Works

13 of 13 papers shown
1.
Murad, Abdulmajid, et al.. (2025). PIGPVAE: physics-informed gaussian process variational autoencoders. Applied Intelligence. 55(12).
2.
Murad, Abdulmajid, et al.. (2025). Synthetic Aircraft Trajectory Generation Using Time-Based VQ-VAE. Zenodo (CERN European Organization for Nuclear Research). 1–10.
3.
Murad, Abdulmajid, Frank Alexander Kraemer, Kerstin Bach, & Gavin Taylor. (2024). Uncertainty-aware autonomous sensing with deep reinforcement learning. Future Generation Computer Systems. 156. 242–253.
4.
Murad, Abdulmajid, Frank Alexander Kraemer, Kerstin Bach, & Gavin Taylor. (2021). Probabilistic Deep Learning to Quantify Uncertainty in Air Quality Forecasting. Sensors. 21(23). 8009–8009. 11 indexed citations
5.
Murad, Abdulmajid, Kerstin Bach, Frank Alexander Kraemer, & Gavin Taylor. (2019). IoT Sensor Gym. 1145. 1–4. 5 indexed citations
6.
Murad, Abdulmajid, Goo‐Rak Kwon, & Jae-Young Pyun. (2018). P2‐402: BRAIN AGE PREDICTION FROM MINIMALLY PREPROCESSED MRI SCANS USING 3D DEEP RESIDUAL NEURAL NETWORKS. Alzheimer s & Dementia. 14(7S_Part_16). 1 indexed citations
7.
Murad, Abdulmajid & Jae-Young Pyun. (2017). Deep Recurrent Neural Networks for Human Activity Recognition. Sensors. 17(11). 2556–2556. 342 indexed citations breakdown →
8.
Murad, Abdulmajid & Thomas E. Fuja. (2005). A Generalization Of Majority Logic Decoding. 89–89.
9.
Murad, Abdulmajid & Thomas E. Fuja. (2003). Robust transmission of variable-length encoded sources. 968–972. 15 indexed citations
10.
Murad, Abdulmajid & Thomas E. Fuja. (2002). Joint source-channel decoding of variable-length encoded sources. 94–95. 48 indexed citations
13.
Murad, Abdulmajid & Thomas E. Fuja. (1993). Distributed decoding of cyclic block codes using a generalization of majority-logic decoding. IEEE Transactions on Information Theory. 39(5). 1535–1545. 1 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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