Kambiz Samadi

2.3k total citations · 1 hit paper
49 papers, 1.8k citations indexed

About

Kambiz Samadi is a scholar working on Electrical and Electronic Engineering, Computer Networks and Communications and Hardware and Architecture. According to data from OpenAlex, Kambiz Samadi has authored 49 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 45 papers in Electrical and Electronic Engineering, 18 papers in Computer Networks and Communications and 14 papers in Hardware and Architecture. Recurrent topics in Kambiz Samadi's work include 3D IC and TSV technologies (25 papers), VLSI and FPGA Design Techniques (23 papers) and Interconnection Networks and Systems (17 papers). Kambiz Samadi is often cited by papers focused on 3D IC and TSV technologies (25 papers), VLSI and FPGA Design Techniques (23 papers) and Interconnection Networks and Systems (17 papers). Kambiz Samadi collaborates with scholars based in United States, United Kingdom and South Korea. Kambiz Samadi's co-authors include Andrew B. Kahng, Li-Shiuan Peh, Yang Du, Sung Kyu Lim, Bin Li, Shreepad Panth, Bin Li, Amir Yazdanbakhsh, Hadi Esmaeilzadeh and Kwangok Jeong and has published in prestigious journals such as IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, IEEE Transactions on Very Large Scale Integration (VLSI) Systems and IEEE Transactions on Nanotechnology.

In The Last Decade

Kambiz Samadi

48 papers receiving 1.8k citations

Hit Papers

ORION 2.0: A fast and acc... 2009 2026 2014 2020 2009 100 200 300 400

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kambiz Samadi United States 21 1.3k 805 791 166 153 49 1.8k
Hideharu Amano Japan 18 1.1k 0.8× 1.3k 1.6× 1.1k 1.4× 157 0.9× 125 0.8× 349 2.0k
Pascal Vivet France 22 1.3k 1.0× 810 1.0× 836 1.1× 40 0.2× 71 0.5× 113 1.7k
Huaguo Liang China 20 1.3k 1.0× 212 0.3× 839 1.1× 178 1.1× 27 0.2× 193 1.7k
Édith Beigné France 19 989 0.7× 417 0.5× 483 0.6× 111 0.7× 38 0.2× 108 1.3k
Youngsoo Shin South Korea 21 1.4k 1.1× 489 0.6× 1.1k 1.4× 91 0.5× 21 0.1× 205 2.2k
Maurizio Palesi Italy 25 1.5k 1.1× 2.0k 2.5× 1.5k 1.9× 122 0.7× 377 2.5× 159 2.7k
Antonio Pullini Italy 23 1.0k 0.8× 655 0.8× 711 0.9× 227 1.4× 56 0.4× 56 1.6k
Rabi Mahapatra United States 17 463 0.4× 504 0.6× 375 0.5× 139 0.8× 66 0.4× 113 1.1k
J. Cong United States 26 2.5k 1.9× 676 0.8× 1.7k 2.1× 38 0.2× 27 0.2× 85 2.8k

Countries citing papers authored by Kambiz Samadi

Since Specialization
Citations

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

Fields of papers citing papers by Kambiz Samadi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kambiz Samadi

This figure shows the co-authorship network connecting the top 25 collaborators of Kambiz Samadi. A scholar is included among the top collaborators of Kambiz Samadi 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 Samadi. Kambiz Samadi 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.
Lu, Yi‐Chen, Sai Pentapati, Lingjun Zhu, Kambiz Samadi, & Sung Kyu Lim. (2020). TP-GNN: A Graph Neural Network Framework for Tier Partitioning in Monolithic 3D ICs. 1–6. 42 indexed citations
2.
Kahng, Andrew B., et al.. (2019). Power Delivery Pathfinding for Emerging Die-to-Wafer Integration Technology. Scholarworks@UNIST (Ulsan National Institute of Science and Technology). 5 indexed citations
3.
Lu, Yi‐Chen, et al.. (2019). GAN-CTS: A Generative Adversarial Framework for Clock Tree Prediction and Optimization. 1–8. 52 indexed citations
4.
Yazdanbakhsh, Amir, et al.. (2018). SnaPEA: Predictive Early Activation for Reducing Computation in Deep Convolutional Neural Networks. 662–673. 122 indexed citations
5.
Yazdanbakhsh, Amir, et al.. (2018). FlexiGAN: An End-to-End Solution for FPGA Acceleration of Generative Adversarial Networks. 65–72. 48 indexed citations
6.
Panth, Shreepad, Sandeep Kumar Samal, Kambiz Samadi, Yang Du, & Sung Kyu Lim. (2017). Tier Degradation of Monolithic 3-D ICs: A Power Performance Study at Different Technology Nodes. IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems. 36(8). 1265–1273. 8 indexed citations
7.
Peng, Yarui, et al.. (2017). Interdie Coupling Extraction and Physical Design Optimization for Face-to-Face 3-D ICs. IEEE Transactions on Nanotechnology. 17(4). 634–644. 2 indexed citations
8.
Samal, Sandeep Kumar, et al.. (2016). Adaptive Regression-Based Thermal Modeling and Optimization for Monolithic 3-D ICs. IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems. 35(10). 1707–1720. 21 indexed citations
9.
Arabi, K., Kambiz Samadi, & Yang Du. (2015). 3D VLSI. 1–7. 25 indexed citations
10.
Du, Yang, Kambiz Samadi, & K. Arabi. (2015). Emerging 3DVLSI: Opportunities and challenges. 1–5. 2 indexed citations
11.
Samal, Sandeep Kumar, et al.. (2014). Full chip impact study of power delivery network designs in monolithic 3D ICs. International Conference on Computer Aided Design. 565–572. 21 indexed citations
12.
Panth, Shreepad, Kambiz Samadi, Yang Du, & Sung Kyu Lim. (2014). Power-Performance Study of Block-Level Monolithic 3D-ICs Considering Inter-Tier Performance Variations. 1–6. 57 indexed citations
13.
Panth, Shreepad, Kambiz Samadi, Yang Du, & Sung Kyu Lim. (2014). Design and CAD methodologies for low power gate-level monolithic 3D ICs. 171–176. 104 indexed citations
14.
Zhuang, Hao, Jingwei Lu, Kambiz Samadi, Yang Du, & Chung‐Kuan Cheng. (2013). Performance-driven placement for design of rotation and right arithmetic shifters in monolithic 3D ICs. 20. 509–513. 5 indexed citations
15.
Kahng, Andrew B., Bin Li, Li-Shiuan Peh, & Kambiz Samadi. (2011). ORION 2.0: A Power-Area Simulator for Interconnection Networks. IEEE Transactions on Very Large Scale Integration (VLSI) Systems. 20(1). 191–196. 215 indexed citations
16.
Kahng, Andrew B., Bill Lin, & Kambiz Samadi. (2010). Improved on-chip router analytical power and area modeling. Asia and South Pacific Design Automation Conference. 241–246. 16 indexed citations
17.
Kahng, Andrew B., Bin Li, Li-Shiuan Peh, & Kambiz Samadi. (2009). ORION 2.0: A fast and accurate NoC power and area model for early-stage design space exploration. 423–428. 427 indexed citations breakdown →
18.
Carloni, Luca P., et al.. (2009). Accurate Predictive Interconnect Modeling for System-Level Design. IEEE Transactions on Very Large Scale Integration (VLSI) Systems. 18(4). 679–684. 8 indexed citations
19.
Carloni, Luca P., et al.. (2008). Interconnect modeling for improved system-level design optimization. Asia and South Pacific Design Automation Conference. 258–264. 16 indexed citations
20.
Gupta, Puneet, et al.. (2005). Wafer topography-aware optical proximity correction for better DOF margin and CD control. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 5853. 844–844. 9 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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