Rahman Doost-Mohammady

465 total citations
29 papers, 324 citations indexed

About

Rahman Doost-Mohammady is a scholar working on Electrical and Electronic Engineering, Computer Networks and Communications and Aerospace Engineering. According to data from OpenAlex, Rahman Doost-Mohammady has authored 29 papers receiving a total of 324 indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Electrical and Electronic Engineering, 20 papers in Computer Networks and Communications and 4 papers in Aerospace Engineering. Recurrent topics in Rahman Doost-Mohammady's work include Advanced MIMO Systems Optimization (16 papers), Energy Harvesting in Wireless Networks (11 papers) and Power Line Communications and Noise (5 papers). Rahman Doost-Mohammady is often cited by papers focused on Advanced MIMO Systems Optimization (16 papers), Energy Harvesting in Wireless Networks (11 papers) and Power Line Communications and Noise (5 papers). Rahman Doost-Mohammady collaborates with scholars based in United States, Italy and Spain. Rahman Doost-Mohammady's co-authors include Kaushik Chowdhury, Marco Di Felice, Lin Zhong, Ashutosh Sabharwal, Jian Ding, Anuj Kalia, Santiago Segarra, Chris Dick, M. Yousof Naderi and Clayton Shepard and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Wireless Communications and IEEE Wireless Communications.

In The Last Decade

Rahman Doost-Mohammady

28 papers receiving 314 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Rahman Doost-Mohammady United States 10 256 228 32 25 19 29 324
Byungju Lim South Korea 11 271 1.1× 168 0.7× 72 2.3× 25 1.0× 20 1.1× 33 366
Bikramjit Singh Finland 9 340 1.3× 254 1.1× 25 0.8× 18 0.7× 46 2.4× 16 415
Peter Fertl Germany 14 413 1.6× 250 1.1× 26 0.8× 20 0.8× 20 1.1× 30 443
Davinder S. Saini India 12 353 1.4× 309 1.4× 49 1.5× 23 0.9× 14 0.7× 80 426
Hyowoon Seo South Korea 9 120 0.5× 87 0.4× 48 1.5× 42 1.7× 11 0.6× 26 226
Morteza Hashemi United States 8 164 0.6× 109 0.5× 41 1.3× 22 0.9× 11 0.6× 41 239
Olga León Spain 8 185 0.7× 240 1.1× 20 0.6× 60 2.4× 8 0.4× 21 292
Patrick Murphy United States 10 286 1.1× 326 1.4× 18 0.6× 16 0.6× 10 0.5× 23 420
Jeongho Jeon United States 12 438 1.7× 332 1.5× 51 1.6× 20 0.8× 14 0.7× 28 498
Radosław Kotaba Denmark 7 321 1.3× 171 0.8× 38 1.2× 19 0.8× 40 2.1× 11 368

Countries citing papers authored by Rahman Doost-Mohammady

Since Specialization
Citations

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

Fields of papers citing papers by Rahman Doost-Mohammady

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Rahman Doost-Mohammady. 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 Rahman Doost-Mohammady. The network helps show where Rahman Doost-Mohammady may publish in the future.

Co-authorship network of co-authors of Rahman Doost-Mohammady

This figure shows the co-authorship network connecting the top 25 collaborators of Rahman Doost-Mohammady. A scholar is included among the top collaborators of Rahman Doost-Mohammady 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 Rahman Doost-Mohammady. Rahman Doost-Mohammady 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.
Doost-Mohammady, Rahman, et al.. (2024). DRAGON: A DRL-based MIMO Layer and MCS Adapter in Open RAN 5G Networks. 2323–2328.
2.
Doost-Mohammady, Rahman, et al.. (2024). ADMM for Downlink Beamforming in Cell-Free Massive MIMO Systems. 623–628. 1 indexed citations
3.
Doost-Mohammady, Rahman, et al.. (2023). M3A: Multipath Multicarrier Misinformation to Adversaries. 1–15. 1 indexed citations
4.
Segarra, Santiago, et al.. (2023). A Deep Reinforcement Learning-Based Resource Scheduler for Massive MIMO Networks. SHILAP Revista de lepidopterología. 1. 242–257. 10 indexed citations
5.
Dick, Chris, et al.. (2022). Annealed Langevin Dynamics for Massive MIMO Detection. IEEE Transactions on Wireless Communications. 22(6). 3762–3776. 22 indexed citations
6.
Doost-Mohammady, Rahman, Lin Zhong, & Ashutosh Sabharwal. (2022). Renew. GetMobile Mobile Computing and Communications. 26(2). 12–18. 2 indexed citations
7.
Doost-Mohammady, Rahman, et al.. (2022). Robustness of Distributed Multi-User Beamforming: An Experimental Evaluation. 146–150. 1 indexed citations
8.
Dick, Chris, et al.. (2022). Robust MIMO Detection using Hypernetworks with Learned Regularizers. 2022 30th European Signal Processing Conference (EUSIPCO). 1626–1630. 3 indexed citations
9.
Dick, Chris, et al.. (2022). Detection by Sampling: Massive MIMO Detector based on Langevin Dynamics. 2022 30th European Signal Processing Conference (EUSIPCO). 1651–1655. 2 indexed citations
10.
Doost-Mohammady, Rahman, et al.. (2021). Good times for wireless research. Computer Networks. 188. 107870–107870. 2 indexed citations
11.
Shepard, Clayton, et al.. (2020). Design and Implementation of Scalable Massive-MIMO Networks. 7–13. 4 indexed citations
12.
Doost-Mohammady, Rahman, et al.. (2020). Good Times For Wireless Research. 33–39. 4 indexed citations
13.
Doost-Mohammady, Rahman, Lin Zhong, Joseph R. Cavallaro, et al.. (2018). RENEW: Programmable and Observable Massive MIMO Networks. 2018 52nd Asilomar Conference on Signals, Systems, and Computers. 1654–1658. 13 indexed citations
14.
Shepard, Clayton, et al.. (2017). Demo: ArgosV3. 501–503. 11 indexed citations
15.
Naderi, M. Yousof, et al.. (2015). Leveraging Deliberately Generated Interferences for Multi-Sensor Wireless RF Power Transmission. 2015 IEEE Global Communications Conference (GLOBECOM). 1–6. 7 indexed citations
16.
Naderi, M. Yousof, et al.. (2014). Leveraging Deliberately Generated Interferences for Multi-Sensor Wireless RF Power Transmission. 2015 IEEE Global Communications Conference (GLOBECOM). 1–6. 1 indexed citations
17.
Doost-Mohammady, Rahman, M. Yousof Naderi, & Kaushik Chowdhury. (2014). Spectrum Allocation and QoS Provisioning Framework for Cognitive Radio With Heterogeneous Service Classes. IEEE Transactions on Wireless Communications. 13(7). 3938–3950. 21 indexed citations
18.
Felice, Marco Di, Rahman Doost-Mohammady, Kaushik Chowdhury, & Luciano Bononi. (2012). Smart radios for smart vehicles. IEEE Vehicular Technology Magazine. 7(2). 4 indexed citations
19.
Doost-Mohammady, Rahman & Kaushik Chowdhury. (2012). Enhancing wireless medical telemetry through dynamic spectrum access. 17. 1603–1608. 5 indexed citations
20.
Chowdhury, Kaushik, Rahman Doost-Mohammady, Waleed Meleis, Marco Di Felice, & Luciano Bononi. (2011). Cooperation and communication in Cognitive radio networks based on TV spectrum experiments. Archivio istituzionale della ricerca (Alma Mater Studiorum Università di Bologna). 1–9. 17 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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