Manijeh Bashar

1.4k total citations
36 papers, 849 citations indexed

About

Manijeh Bashar is a scholar working on Electrical and Electronic Engineering, Computer Networks and Communications and Aerospace Engineering. According to data from OpenAlex, Manijeh Bashar has authored 36 papers receiving a total of 849 indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Electrical and Electronic Engineering, 15 papers in Computer Networks and Communications and 4 papers in Aerospace Engineering. Recurrent topics in Manijeh Bashar's work include Advanced MIMO Systems Optimization (30 papers), Cooperative Communication and Network Coding (15 papers) and Millimeter-Wave Propagation and Modeling (8 papers). Manijeh Bashar is often cited by papers focused on Advanced MIMO Systems Optimization (30 papers), Cooperative Communication and Network Coding (15 papers) and Millimeter-Wave Propagation and Modeling (8 papers). Manijeh Bashar collaborates with scholars based in United Kingdom, France and Sweden. Manijeh Bashar's co-authors include Alister G. Burr, Kanapathippillai Cumanan, Hien Quoc Ngo, Pei Xiao, Mérouane Debbah, Erik G. Larsson, Ali Akbari, Emil Björnson, Lajos Hanzo and Josef Kittler and has published in prestigious journals such as IEEE Access, IEEE Journal on Selected Areas in Communications and IEEE Transactions on Communications.

In The Last Decade

Manijeh Bashar

35 papers receiving 839 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Manijeh Bashar United Kingdom 14 790 309 135 34 30 36 849
David González G. Germany 14 490 0.6× 267 0.9× 74 0.5× 36 1.1× 21 0.7× 87 579
Alexey Khoryaev United States 10 682 0.9× 220 0.7× 163 1.2× 40 1.2× 24 0.8× 19 719
Daniel Castanheira Portugal 15 610 0.8× 259 0.8× 216 1.6× 26 0.8× 27 0.9× 82 718
Guillem Femenias Spain 19 1.2k 1.6× 812 2.6× 184 1.4× 39 1.1× 29 1.0× 136 1.3k
Huaning Niu United States 13 792 1.0× 417 1.3× 113 0.8× 38 1.1× 12 0.4× 31 865
Ebrahim Saberinia United States 14 333 0.4× 183 0.6× 113 0.8× 18 0.5× 29 1.0× 42 410
Adegbenga Awoseyila United Kingdom 11 466 0.6× 310 1.0× 330 2.4× 32 0.9× 19 0.6× 30 556
Xiangbin Yu China 14 683 0.9× 352 1.1× 211 1.6× 15 0.4× 19 0.6× 164 766
Rong He China 9 393 0.5× 248 0.8× 107 0.8× 13 0.4× 26 0.9× 35 485
Mamoun Guenach Belgium 15 700 0.9× 242 0.8× 86 0.6× 16 0.5× 21 0.7× 100 756

Countries citing papers authored by Manijeh Bashar

Since Specialization
Citations

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

Fields of papers citing papers by Manijeh Bashar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Manijeh Bashar

This figure shows the co-authorship network connecting the top 25 collaborators of Manijeh Bashar. A scholar is included among the top collaborators of Manijeh Bashar 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 Manijeh Bashar. Manijeh Bashar 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
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Dehghani, Mohammad Javad, et al.. (2022). Multi-Agent Reinforcement Learning-Based Pilot Assignment for Cell-Free Massive MIMO Systems. IEEE Access. 10. 120492–120502. 12 indexed citations
4.
Bashar, Manijeh, et al.. (2022). Deep Reinforcement Learning-based Power Allocation in Uplink Cell-Free Massive MIMO. 2022 IEEE Wireless Communications and Networking Conference (WCNC). 459–464. 18 indexed citations
5.
Akbari, Ali, Muhammad Awais, Manijeh Bashar, & Josef Kittler. (2021). How Does Loss Function Affect Generalization Performance of Deep Learning? Application to Human Age Estimation. International Conference on Machine Learning. 141–151. 11 indexed citations
6.
Bashar, Manijeh, Pei Xiao, Rahim Tafazolli, et al.. (2021). Limited-Fronthaul Cell-Free Massive MIMO With Local MMSE Receiver Under Rician Fading and Phase Shifts. IEEE Wireless Communications Letters. 10(9). 1934–1938. 21 indexed citations
7.
Akbari, Ali, Muhammad Awais, Manijeh Bashar, & Josef Kittler. (2021). A Theoretical Insight Into the Effect of Loss Function for Deep Semantic-Preserving Learning. IEEE Transactions on Neural Networks and Learning Systems. 34(1). 119–133. 5 indexed citations
8.
Bashar, Manijeh, Hien Quoc Ngo, Kanapathippillai Cumanan, et al.. (2020). Uplink Spectral and Energy Efficiency of Cell-Free Massive MIMO With Optimal Uniform Quantization. IEEE Transactions on Communications. 69(1). 223–245. 63 indexed citations
9.
Bashar, Manijeh, Kanapathippillai Cumanan, Alister G. Burr, et al.. (2019). On the Performance of Cell-Free Massive MIMO Relying on Adaptive NOMA/OMA Mode-Switching. IEEE Transactions on Communications. 68(2). 792–810. 55 indexed citations
10.
Bashar, Manijeh, Kanapathippillai Cumanan, Alister G. Burr, Mérouane Debbah, & Hien Quoc Ngo. (2019). On the Uplink Max–Min SINR of Cell-Free Massive MIMO Systems. IEEE Transactions on Wireless Communications. 18(4). 2021–2036. 145 indexed citations
11.
Bashar, Manijeh, et al.. (2019). On the Uplink Throughput of Zero Forcing in Cell-Free Massive MIMO With Coarse Quantization. IEEE Transactions on Vehicular Technology. 68(7). 7220–7224. 48 indexed citations
12.
Bashar, Manijeh, Alister G. Burr, Katsuyuki Haneda, et al.. (2019). Evaluation of Low Complexity Massive MIMO Techniques Under Realistic Channel Conditions. IEEE Transactions on Vehicular Technology. 68(9). 9297–9302. 2 indexed citations
13.
Bashar, Manijeh, Kanapathippillai Cumanan, Alister G. Burr, et al.. (2019). On the Energy Efficiency of Limited-Backhaul Cell-Free Massive MIMO. Research Portal (Queen's University Belfast). 24 indexed citations
14.
Bashar, Manijeh, et al.. (2018). On the Performance of Backhaul Constrained Cell-Free Massive MIMO with Linear Receivers. 2018 52nd Asilomar Conference on Signals, Systems, and Computers. 624–628. 35 indexed citations
15.
Cumanan, Kanapathippillai, et al.. (2016). On Convolutional Lattice Codes and Lattice Decoding Using Trellis Structure. IEEE Access. 4. 9702–9715. 2 indexed citations
16.
Bashar, Manijeh, et al.. (2014). MIMO interfering broadcast channels based on Local CSIT. Graduate School and Research Center in Digital Science (EURECOM). 1 indexed citations
17.
Bashar, Manijeh, Mohsen Eslami, & Mohammad Javad Dehghani. (2014). Threshold‐based CSI feedback reduction for time‐varying multiple‐input multiple‐output broadcast channels. IET Communications. 8(9). 1616–1625. 2 indexed citations
18.
Bashar, Manijeh, et al.. (2014). MIMO broadcast channels with Gaussian CSIT and application to location based CSIT. 1–7. 6 indexed citations
19.
Bashar, Manijeh, et al.. (2014). From MU massive MISO to pathwise MU massive MIMO. 16–20. 3 indexed citations
20.
Bashar, Manijeh & Dirk Slock. (2014). Cognitive Multi-User MIMO downlink with mixed feedback/location based Gaussian CSIT. 155–159. 3 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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