Farshad Lahouti

853 total citations
90 papers, 556 citations indexed

About

Farshad Lahouti is a scholar working on Electrical and Electronic Engineering, Computer Networks and Communications and Computer Vision and Pattern Recognition. According to data from OpenAlex, Farshad Lahouti has authored 90 papers receiving a total of 556 indexed citations (citations by other indexed papers that have themselves been cited), including 69 papers in Electrical and Electronic Engineering, 66 papers in Computer Networks and Communications and 13 papers in Computer Vision and Pattern Recognition. Recurrent topics in Farshad Lahouti's work include Cooperative Communication and Network Coding (43 papers), Advanced Wireless Network Optimization (22 papers) and Advanced MIMO Systems Optimization (22 papers). Farshad Lahouti is often cited by papers focused on Cooperative Communication and Network Coding (43 papers), Advanced Wireless Network Optimization (22 papers) and Advanced MIMO Systems Optimization (22 papers). Farshad Lahouti collaborates with scholars based in Iran, Canada and United States. Farshad Lahouti's co-authors include Amir K. Khandani, Hamid Khodakarami, Vahid Shah‐Mansouri, Michele Zorzi, Mahdi Zamani, Marco Levorato, Hamidreza Arjmandi, Morteza Mardani, Samira Rezaei and Raviraj Adve and has published in prestigious journals such as IEEE Transactions on Information Theory, IEEE Transactions on Signal Processing and IEEE Transactions on Communications.

In The Last Decade

Farshad Lahouti

88 papers receiving 542 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Farshad Lahouti Iran 12 417 401 68 66 42 90 556
Peng Hui Tan Singapore 11 387 0.9× 355 0.9× 67 1.0× 56 0.8× 33 0.8× 55 561
Viktória Fodor Sweden 15 320 0.8× 486 1.2× 92 1.4× 118 1.8× 30 0.7× 71 648
Nan Ma China 12 297 0.7× 184 0.5× 83 1.2× 55 0.8× 30 0.7× 85 482
R. Parra-Michel Mexico 12 359 0.9× 212 0.5× 43 0.6× 33 0.5× 51 1.2× 81 461
Fredrik Hekland Norway 5 255 0.6× 313 0.8× 41 0.6× 78 1.2× 29 0.7× 7 426
Shu‐Ming Tseng Taiwan 12 497 1.2× 359 0.9× 142 2.1× 41 0.6× 71 1.7× 97 670
S.C. Gupta United States 10 257 0.6× 266 0.7× 44 0.6× 32 0.5× 22 0.5× 54 384
Lei Cao United States 10 280 0.7× 304 0.8× 104 1.5× 52 0.8× 33 0.8× 115 405
Philippe Sehier France 10 456 1.1× 220 0.5× 51 0.8× 27 0.4× 39 0.9× 29 525
Victor B. Lawrence United States 13 255 0.6× 306 0.8× 75 1.1× 65 1.0× 109 2.6× 71 594

Countries citing papers authored by Farshad Lahouti

Since Specialization
Citations

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

Fields of papers citing papers by Farshad Lahouti

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Farshad Lahouti

This figure shows the co-authorship network connecting the top 25 collaborators of Farshad Lahouti. A scholar is included among the top collaborators of Farshad Lahouti 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 Farshad Lahouti. Farshad Lahouti 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.
Lahouti, Farshad, et al.. (2019). Analysis of Distributed ADMM Algorithm for Consensus Optimization in Presence of Node Error. IEEE Transactions on Signal Processing. 67(7). 1774–1784. 34 indexed citations
2.
Shah‐Mansouri, Vahid, et al.. (2018). Analysis of distributed ADMM algorithm for consensus optimisation over lossy networks. IET Signal Processing. 12(6). 786–794. 8 indexed citations
3.
Lahouti, Farshad & Babak Hassibi. (2016). Fundamental Limits of Budget-Fidelity Trade-off in Label Crowdsourcing. CaltechAUTHORS (California Institute of Technology). 29. 5059–5067. 2 indexed citations
4.
Azari, Amin, et al.. (2016). Power allocation in multi-hop OFDM transmission systems with amplify-and-forward relaying: A unified approach. Physical Communication. 21. 19–29. 1 indexed citations
5.
Sadeghi, Alireza, Farshad Lahouti, & Michele Zorzi. (2015). Constellation Shaping and LDPC Coding in a Bidirectional Full Duplex Communication. 2015 IEEE Global Communications Conference (GLOBECOM). 11. 1–6. 3 indexed citations
6.
Lahouti, Farshad, et al.. (2014). Indoor pedestrian navigation fusing WLAN, INS, and map data using pattern matching. 349–354. 3 indexed citations
7.
Sadeghi, Alireza, et al.. (2014). Multi-hop wireless transmission with half duplex and imperfect full duplex relays. Research Padua Archive (University of Padua). 1026–1029. 5 indexed citations
8.
Lahouti, Farshad, et al.. (2013). Predictions of energy efficient Berger-Levy model neurons with constraints. BMC Neuroscience. 14(S1). 1 indexed citations
9.
Lahouti, Farshad, et al.. (2013). Multi-Mode Nested Quantization in Presence of Uncertain Side Information and Feedback. IEEE Transactions on Communications. 61(2). 743–752. 1 indexed citations
10.
Lahouti, Farshad, et al.. (2011). Discrete Rate Interfering Cognitive Link Adaptation Design with Primary Link Spectral Efficiency Provisioning. IEEE Transactions on Wireless Communications. 10(9). 2929–2939. 8 indexed citations
11.
Lahouti, Farshad, et al.. (2011). Network Code Design for Orthogonal Two-Hop Network with Broadcasting Relay: A Joint Source-Channel-Network Coding Approach. IEEE Transactions on Communications. 60(1). 132–142. 5 indexed citations
12.
Lahouti, Farshad, et al.. (2011). Channel Optimized Distributed Multiple Description Coding. IEEE Transactions on Signal Processing. 60(5). 2539–2551. 3 indexed citations
13.
Arjmandi, Hamidreza & Farshad Lahouti. (2010). Cost optimized distributed source coding for data gathering single-hop wireless sensor networks. 104–109. 3 indexed citations
14.
Lahouti, Farshad, Amir K. Khandani, & Aladdin Saleh. (2006). Robust Transmission of Multistage Vector Quantized Sources Over Noisy Communication Channels—Applications to MELP Speech Codec. IEEE Transactions on Vehicular Technology. 55(6). 1805–1811. 8 indexed citations
15.
Lahouti, Farshad, et al.. (2006). Improved reconstruction of channel state information in 3GPP. 3. 1998–2002. 2 indexed citations
16.
Khandani, Amir K., et al.. (2005). A new method of channel feedback quantization for high data rate MIMO systems. 1. 91–95. 11 indexed citations
17.
Lahouti, Farshad & Amir K. Khandani. (2004). Reconstruction of multi-stage vector quantized sources over noisy channels - applications to MELP codec. 4. iv–613. 1 indexed citations
18.
Lahouti, Farshad & Amir K. Khandani. (2004). Reconstruction of Predictively Encoded Signals Over Noisy Channels Using a Sequence MMSE Decoder. IEEE Transactions on Communications. 52(8). 1292–1301. 6 indexed citations
19.
Lahouti, Farshad & Amir K. Khandani. (2003). Quantization of lsf parameters using a trellis modeling. IEEE Transactions on Speech and Audio Processing. 11(5). 400–412. 9 indexed citations
20.
Lahouti, Farshad & Amir K. Khandani. (2001). Sequence MMSE Source Decoding Over Noisy Channels Using the Residual Redundancies. 27(11). 749–50. 7 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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