Kambiz Azarian

1.6k total citations · 1 hit paper
19 papers, 1.0k citations indexed

About

Kambiz Azarian is a scholar working on Computer Networks and Communications, Electrical and Electronic Engineering and Artificial Intelligence. According to data from OpenAlex, Kambiz Azarian has authored 19 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Computer Networks and Communications, 15 papers in Electrical and Electronic Engineering and 4 papers in Artificial Intelligence. Recurrent topics in Kambiz Azarian's work include Cooperative Communication and Network Coding (11 papers), Advanced MIMO Systems Optimization (6 papers) and Wireless Communication Security Techniques (6 papers). Kambiz Azarian is often cited by papers focused on Cooperative Communication and Network Coding (11 papers), Advanced MIMO Systems Optimization (6 papers) and Wireless Communication Security Techniques (6 papers). Kambiz Azarian collaborates with scholars based in United States and United Kingdom. Kambiz Azarian's co-authors include Philip Schniter, H. El Gamal, Hesham El Gamal, J. Nicholas Laneman, Young‐Han Nam, C. Lott, Fatih Porikli, Radhika Gowaikar, Hyojin Park and Debasmit Das and has published in prestigious journals such as IEEE Transactions on Information Theory, IEEE Journal on Selected Areas in Communications and Manufacturing Engineer.

In The Last Decade

Kambiz Azarian

19 papers receiving 970 citations

Hit Papers

On the Achievable Diversity–Multiplexing Tradeoff in Half... 2005 2026 2012 2019 2005 250 500 750
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.

  1. On the Achievable Diversity–Multiplexing Tradeoff in Half-Duplex Cooperative Channels
    2005 782 citations Kambiz Azarian, H. El Gamal et al. IEEE Transactions on Information Theory profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kambiz Azarian United States 7 994 986 16 15 13 19 1.0k
Krishna N. Ramachandran United States 9 1.0k 1.0× 448 0.5× 17 1.1× 22 1.5× 6 0.5× 12 1.1k
Ebad Ahmed United States 7 647 0.7× 427 0.4× 14 0.9× 7 0.5× 8 0.6× 19 657
Patrick P. Lam Hong Kong 7 1.2k 1.2× 1.1k 1.1× 9 0.6× 31 2.1× 6 0.5× 10 1.2k
Amir Salman Avestimehr United States 14 511 0.5× 576 0.6× 52 3.3× 27 1.8× 15 1.2× 19 648
Avi Steiner Israel 10 409 0.4× 453 0.5× 18 1.1× 12 0.8× 7 0.5× 32 466
Janus Heide Denmark 14 565 0.6× 409 0.4× 13 0.8× 12 0.8× 8 0.6× 47 582
N. Ratnakar United States 8 635 0.6× 458 0.5× 32 2.0× 7 0.5× 25 1.9× 13 662
Radhika Gowaikar United States 8 442 0.4× 376 0.4× 33 2.1× 7 0.5× 14 1.1× 14 473
A. Stefanov United States 12 1.0k 1.0× 979 1.0× 72 4.5× 21 1.4× 6 0.5× 23 1.0k
J.S.M. Ho United States 6 646 0.6× 548 0.6× 19 1.2× 27 1.8× 7 0.5× 8 677

Countries citing papers authored by Kambiz Azarian

Since Specialization
Citations

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

Fields of papers citing papers by Kambiz Azarian

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kambiz Azarian

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

All Works

19 of 19 papers shown
1.
Azarian, Kambiz, Debasmit Das, Hyojin Park, & Fatih Porikli. (2023). Test-time Adaptation vs. Training-time Generalization: A Case Study in Human Instance Segmentation using Keypoints Estimation. 32. 411–420. 2 indexed citations
2.
Das, Debasmit, et al.. (2023). Transadapt: A Transformative Framework for Online Test Time Adaptive Semantic Segmentation. 33. 1–5. 5 indexed citations
3.
Samragh, Mohammad, Hossein Hosseini, Kambiz Azarian, & Joseph B. Soriaga. (2021). Private Split Inference of Deep Networks. 1 indexed citations
4.
Azarian, Kambiz, et al.. (2012). On Spatial Load Balancing in wide-area wireless networks. 2230–2235. 3 indexed citations
5.
Gowaikar, Radhika, et al.. (2011). Distributed scheduling for wireless networks. 1985–1989. 3 indexed citations
6.
Azarian, Kambiz, et al.. (2010). Imbalance issues in heterogeneous DO networks. 669–673. 2 indexed citations
7.
Azarian, Kambiz, et al.. (2008). A Case for Amplify–Forward Relaying in the Block-Fading Multiple-Access Channel. IEEE Transactions on Information Theory. 54(8). 3728–3733. 51 indexed citations
8.
Azarian, Kambiz, Hesham El Gamal, & Philip Schniter. (2008). On the Optimality of the ARQ-DDF Protocol. IEEE Transactions on Information Theory. 54(4). 1718–1724. 43 indexed citations
9.
Azarian, Kambiz & Hesham El Gamal. (2007). The Throughput–Reliability Tradeoff in Block-Fading MIMO Channels. IEEE Transactions on Information Theory. 53(2). 488–501. 30 indexed citations
10.
Azarian, Kambiz, et al.. (2007). Cooperative lattice coding and decoding in half-duplex channels. IEEE Journal on Selected Areas in Communications. 25(2). 268–279. 37 indexed citations
11.
Azarian, Kambiz & J. Nicholas Laneman. (2007). Linear Space-Time Codes with Optimal Diversity-Multiplexing Tradeoff. 483–486. 2 indexed citations
12.
Azarian, Kambiz, et al.. (2007). On Cooperative Lattice Coding and Decoding. 49. 32–35. 2 indexed citations
13.
Azarian, Kambiz & H. El Gamal. (2006). Cooperation in Outage-Limited Multiple-Access Channels. 150–153. 4 indexed citations
14.
Azarian, Kambiz, et al.. (2006). On the Utility of a 3dB SNR Gain in MIMO Channels. 49. 2274–2278. 2 indexed citations
15.
Azarian, Kambiz, et al.. (2005). On the achievable diversity-vs-multiplexing tradeoff in cooperative channels. 5 indexed citations
16.
Nam, Young‐Han, Kambiz Azarian, H. El Gamal, & Philip Schniter. (2005). Cooperation through ARQ. 1023–1027. 21 indexed citations
17.
Azarian, Kambiz, Young‐Han Nam, & H. El Gamal. (2005). Multi-user diversity without transmitter CSI. 2055–2059. 3 indexed citations
18.
Azarian, Kambiz, H. El Gamal, & Philip Schniter. (2005). Achievable diversity-vs-multiplexing tradeoffs in half-duplex cooperative channels. Manufacturing Engineer. 292–297. 32 indexed citations
19.
Azarian, Kambiz, H. El Gamal, & Philip Schniter. (2005). On the Achievable Diversity–Multiplexing Tradeoff in Half-Duplex Cooperative Channels. IEEE Transactions on Information Theory. 51(12). 4152–4172. 782 indexed citations breakdown →

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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