Fredrik Rusek

6.6k total citations · 1 hit paper
139 papers, 4.3k citations indexed

About

Fredrik Rusek is a scholar working on Electrical and Electronic Engineering, Computer Networks and Communications and Aerospace Engineering. According to data from OpenAlex, Fredrik Rusek has authored 139 papers receiving a total of 4.3k indexed citations (citations by other indexed papers that have themselves been cited), including 136 papers in Electrical and Electronic Engineering, 62 papers in Computer Networks and Communications and 32 papers in Aerospace Engineering. Recurrent topics in Fredrik Rusek's work include Advanced Wireless Communication Techniques (77 papers), Advanced MIMO Systems Optimization (53 papers) and PAPR reduction in OFDM (35 papers). Fredrik Rusek is often cited by papers focused on Advanced Wireless Communication Techniques (77 papers), Advanced MIMO Systems Optimization (53 papers) and PAPR reduction in OFDM (35 papers). Fredrik Rusek collaborates with scholars based in Sweden, United States and Italy. Fredrik Rusek's co-authors include Ove Edfors, Sha Hu, John B. Anderson, Viktor Öwall, Dževdan Kapetanović, Fredrik Tufvesson, Gan Zheng, Giulio Colavolpe, Andrea Modenini and Xiang Gao and has published in prestigious journals such as Proceedings of the IEEE, IEEE Transactions on Information Theory and IEEE Transactions on Signal Processing.

In The Last Decade

Fredrik Rusek

133 papers receiving 4.2k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Beyond Massive MIMO: The Potential of Data Transmission With Large Intelligent Surfaces

2018 593 citations Sha Hu, Fredrik Rusek et al. profile →

Peers

Fredrik Rusek

EEE

CNC

AE

AI

MT

Yoshihisa Kishiyama Japan

A. Chockalingam India

Hai Lin Japan

Elisabeth de Carvalho Denmark

Salman Durrani Australia

Namyoon Lee South Korea

Wolfgang Gerstacker Germany

Hideki Ochiai Japan

Da-shan Shiu Taiwan

Huiling Zhu United Kingdom

Yoshihisa Kishiyama Japan

Fredrik Rusek

7.1k ×1.7

EEE

2.3k ×1.7

CNC

1.2k ×1.1

AE

129 ×0.7

AI

313 ×2.4

MT

Citations per year, relative to Fredrik Rusek Fredrik Rusek (= 1×) peers Yoshihisa Kishiyama

Countries citing papers authored by Fredrik Rusek

Since Specialization

Citations

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

Fields of papers citing papers by Fredrik Rusek

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fredrik Rusek

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

All Works

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20 of 20 papers shown

1.

Rusek, Fredrik, et al.. (2025). Limited CSI Feedback System for Massive MISO: A Neural Network-Aided SVD Approach. IEEE Transactions on Antennas and Propagation. 73(7). 4891–4902.

2.

Rusek, Fredrik, et al.. (2024). Spatially Selective Reconfigurable Intelligent Surfaces Through Element Permutation. 5540–5545.

3.

Rusek, Fredrik, et al.. (2024). Integrating Reconfigurable Intelligent Surfaces (RISs) into Indoor D-MIMO Networks for 6G. Chalmers Research (Chalmers University of Technology). 1–6.

4.

Kong, Dexin, et al.. (2023). Base-Station and RIS Deployment Optimization for Indoor Coverage Enhancement. Lund University Publications (Lund University). 246–249. 1 indexed citations

5.

Rusek, Fredrik, et al.. (2022). Deployment Strategies for Large Intelligent Surfaces. IEEE Access. 10. 61753–61768. 9 indexed citations

6.

Rusek, Fredrik, et al.. (2022). Impact of Quantization in Decentralized Processing for Large Multi-Antenna Architectures. Lund University Publications (Lund University). 1351–1356.

7.

Rusek, Fredrik, et al.. (2021). Modular Binary Tree Architecture for Distributed Large Intelligent Surface. Lund University Publications (Lund University). 4565–4569. 5 indexed citations

8.

Edfors, Ove, et al.. (2020). Processing Distribution and Architecture Tradeoff for Large Intelligent Surface Implementation. Lund University Publications (Lund University). 1–6. 8 indexed citations

9.

Rusek, Fredrik, et al.. (2019). Achievable Rate with Correlated Hardware Impairments in Large Intelligent Surfaces. Lund University Publications (Lund University). 559–563. 15 indexed citations

10.

Hu, Sha, Xuhong Li, & Fredrik Rusek. (2019). On Time-of-Arrival Estimation in NB-IoT Systems. Lund University Publications (Lund University). 1–6. 11 indexed citations

11.

Hu, Sha, et al.. (2017). Improving the Performance of OTDOA Based Positioning in NB-IoT Systems. Lund University Publications (Lund University). 1–7. 40 indexed citations

12.

Vieira, Joao, Fredrik Rusek, & Fredrik Tufvesson. (2014). Reciprocity calibration methods for massive MIMO based on antenna coupling. 3708–3712. 56 indexed citations

13.

Gao, Xiang, Ove Edfors, Fredrik Rusek, & Fredrik Tufvesson. (2014). Massive MIMO in real propagation environments.. arXiv (Cornell University). 26 indexed citations

14.

Gao, Xiang, Fredrik Tufvesson, Ove Edfors, & Fredrik Rusek. (2012). Measured propagation characteristics for very-large MIMO at 2.6 GHz. Lund University Publications (Lund University). 295–299. 19 indexed citations

15.

Gao, Xiang, Ove Edfors, Fredrik Rusek, & Fredrik Tufvesson. (2011). Linear Pre-Coding Performance in Measured Very-Large MIMO Channels. 1–5. 206 indexed citations

16.

Prlja, Adnan, John B. Anderson, & Fredrik Rusek. (2008). Receivers for Faster-than-Nyquist signaling with and without turbo equalization. Lund University Publications (Lund University). 464–468. 61 indexed citations

17.

Anderson, John B. & Fredrik Rusek. (2007). Optimal Side Lobes under Linear and Faster-than-Nyquist Modulation. Lund University Publications (Lund University). 2301–2304. 10 indexed citations

18.

Anderson, John B. & Fredrik Rusek. (2006). Improving OFDM: Multistream Faster-than-Nyquist Signaling. Lund University Publications (Lund University). 1–5. 21 indexed citations

19.

Rusek, Fredrik & John Anderson. (2005). The two dimensional Mazo limit. Lund University Publications (Lund University). 970–974. 106 indexed citations

20.

Anderson, John & Fredrik Rusek. (2004). The Shannon bit error limit for linear coded modulation. Lund University Publications (Lund University). 6 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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