Arash Asadi

1.4k total citations
52 papers, 992 citations indexed

About

Arash Asadi is a scholar working on Electrical and Electronic Engineering, Computer Networks and Communications and Artificial Intelligence. According to data from OpenAlex, Arash Asadi has authored 52 papers receiving a total of 992 indexed citations (citations by other indexed papers that have themselves been cited), including 46 papers in Electrical and Electronic Engineering, 25 papers in Computer Networks and Communications and 7 papers in Artificial Intelligence. Recurrent topics in Arash Asadi's work include Advanced MIMO Systems Optimization (28 papers), Advanced Wireless Network Optimization (16 papers) and Cooperative Communication and Network Coding (14 papers). Arash Asadi is often cited by papers focused on Advanced MIMO Systems Optimization (28 papers), Advanced Wireless Network Optimization (16 papers) and Cooperative Communication and Network Coding (14 papers). Arash Asadi collaborates with scholars based in Germany, Spain and Italy. Arash Asadi's co-authors include Vincenzo Mancuso, Gek Hong Sim, Matthias Hollick, Anja Klein, Sabrina Klos, Joerg Widmer, Adrian Loch, Vincenzo Sciancalepore, Peter Jacko and Xavier Vilajosana and has published in prestigious journals such as IEEE Communications Surveys & Tutorials, IEEE Journal on Selected Areas in Communications and IEEE Communications Magazine.

In The Last Decade

Arash Asadi

49 papers receiving 969 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Arash Asadi Germany 18 839 555 105 53 44 52 992
Ilario Filippini Italy 18 727 0.9× 706 1.3× 98 0.9× 29 0.5× 37 0.8× 67 1.0k
Lin X. Cai United States 21 732 0.9× 582 1.0× 129 1.2× 59 1.1× 63 1.4× 66 1.0k
Giuseppe Caso Italy 17 573 0.7× 383 0.7× 84 0.8× 41 0.8× 19 0.4× 54 756
Akram Bin Sediq Canada 15 564 0.7× 470 0.8× 91 0.9× 59 1.1× 22 0.5× 63 738
Beatriz Lorenzo United States 15 347 0.4× 421 0.8× 64 0.6× 48 0.9× 43 1.0× 59 588
Zhanwei Hou Australia 12 382 0.5× 278 0.5× 71 0.7× 69 1.3× 55 1.3× 23 590
Marius Corici Germany 18 478 0.6× 826 1.5× 97 0.9× 54 1.0× 111 2.5× 103 1.0k
Antonio Capone Italy 17 636 0.8× 842 1.5× 56 0.5× 46 0.9× 82 1.9× 65 1.0k
Daniel Camps‐Mur Spain 17 660 0.8× 709 1.3× 45 0.4× 30 0.6× 48 1.1× 62 963
Andrey Samuylov Finland 16 767 0.9× 357 0.6× 156 1.5× 29 0.5× 22 0.5× 47 923

Countries citing papers authored by Arash Asadi

Since Specialization
Citations

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

Fields of papers citing papers by Arash Asadi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Arash Asadi

This figure shows the co-authorship network connecting the top 25 collaborators of Arash Asadi. A scholar is included among the top collaborators of Arash Asadi 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 Arash Asadi. Arash Asadi 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.
Jamali, Vahid, et al.. (2025). Harnessing Spatial Diversity for Physical Layer Security Without Adversary Channel Knowledge. IEEE Transactions on Wireless Communications. 25. 2122–2135.
2.
Wang, Lu, et al.. (2025). Faulty RIS-Aided Integrated Sensing and Communication: Modeling and Optimization. IEEE Transactions on Wireless Communications. 25. 8982–8999.
3.
Wang, Lu, et al.. (2025). Joint Hybrid Beamforming and RIS Phase Shift Design for RIS-Enabled mmWave ISAC System. IEEE Transactions on Vehicular Technology. 74(6). 9149–9164. 2 indexed citations
4.
Mursia, Placido, et al.. (2024). Open Experimental Measurements of Sub-6GHz Reconfigurable Intelligent Surfaces. IEEE Internet Computing. 28(2). 19–28. 4 indexed citations
5.
Cominelli, Marco, et al.. (2024). Physical-Layer Privacy via Randomized Beamforming Against Adversarial Wi-Fi Sensing: Analysis, Implementation, and Evaluation. IEEE Transactions on Wireless Communications. 23(12). 19603–19617. 1 indexed citations
6.
Mursia, Placido, et al.. (2024). Design and validation of scalable reconfigurable intelligent surfaces. Computer Networks. 241. 110208–110208. 5 indexed citations
7.
Zorzi, Michele, et al.. (2024). Risk-Averse Learning for Reliable mmWave Self-Backhauling. IEEE/ACM Transactions on Networking. 32(6). 4989–5003. 2 indexed citations
8.
Jiménez‐Sáez, Alejandro, et al.. (2024). Fast Transition-Aware Reconfiguration of Liquid Crystal-Based RISs. 214–219. 1 indexed citations
9.
Mursia, Placido, et al.. (2022). Designing, building, and characterizing RF switch-based reconfigurable intelligent surfaces. 69–76. 22 indexed citations
10.
Cominelli, Marco, et al.. (2021). IEEE 802.11 CSI randomization to preserve location privacy: An empirical evaluation in different scenarios. Computer Networks. 191. 107970–107970. 25 indexed citations
11.
Cano, Cristina, Gek Hong Sim, Arash Asadi, & Xavier Vilajosana. (2020). A Channel Measurement Campaign for mmWave Communication in Industrial Settings. IEEE Transactions on Wireless Communications. 20(1). 299–315. 40 indexed citations
12.
Sim, Gek Hong, Sabrina Klos, Arash Asadi, Anja Klein, & Matthias Hollick. (2018). An Online Context-Aware Machine Learning Algorithm for 5G mmWave Vehicular Communications. IEEE/ACM Transactions on Networking. 26(6). 2487–2500. 107 indexed citations
13.
Asadi, Arash, Sabrina Klos, Gek Hong Sim, Anja Klein, & Matthias Hollick. (2018). FML: Fast Machine Learning for 5G mmWave Vehicular Communications. TUbilio (Technical University of Darmstadt). 1961–1969. 58 indexed citations
14.
Engelhardt, Max & Arash Asadi. (2017). The first experimental SDR platform for inband D2D communications in 5G. 1–2. 1 indexed citations
15.
Asadi, Arash, Vincenzo Mancuso, & Rohit Gupta. (2016). An SDR-based experimental study of outband D2D communications. TUbilio (Technical University of Darmstadt). 1–9. 25 indexed citations
16.
Asadi, Arash & Vincenzo Mancuso. (2016). Network-Assisted Outband D2D-Clustering in 5G Cellular Networks: Theory and Practice. IEEE Transactions on Mobile Computing. 16(8). 2246–2259. 80 indexed citations
17.
Asadi, Arash, Martin Dräxler, Rohit Gupta, et al.. (2015). Tackling the Increased Density of 5G Networks: The CROWD Approach. 1–5. 7 indexed citations
18.
Asadi, Arash & Vincenzo Mancuso. (2014). DRONEE: Dual-radio opportunistic networking for energy efficiency. Computer Communications. 50. 41–52. 19 indexed citations
19.
Asadi, Arash & Vincenzo Mancuso. (2013). A Survey on Opportunistic Scheduling in Wireless Communications. IEEE Communications Surveys & Tutorials. 15(4). 1671–1688. 118 indexed citations
20.
Asadi, Arash, et al.. (2011). An enhanced cross layer downlink scheduling algorithm for IEEE 802.16 networks. 55. 212–217. 4 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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