Omid Akbari

759 total citations
21 papers, 553 citations indexed

About

Omid Akbari is a scholar working on Electrical and Electronic Engineering, Hardware and Architecture and Computer Networks and Communications. According to data from OpenAlex, Omid Akbari has authored 21 papers receiving a total of 553 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Electrical and Electronic Engineering, 9 papers in Hardware and Architecture and 2 papers in Computer Networks and Communications. Recurrent topics in Omid Akbari's work include Low-power high-performance VLSI design (16 papers), Parallel Computing and Optimization Techniques (7 papers) and Advancements in Semiconductor Devices and Circuit Design (7 papers). Omid Akbari is often cited by papers focused on Low-power high-performance VLSI design (16 papers), Parallel Computing and Optimization Techniques (7 papers) and Advancements in Semiconductor Devices and Circuit Design (7 papers). Omid Akbari collaborates with scholars based in Iran, United States and Austria. Omid Akbari's co-authors include Massoud Pedram, Mehdi Kamal, Ali Afzali‐Kusha, Muhammad Shafique, Behzad Ebrahimi and Christian Hochberger and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Access and IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems.

In The Last Decade

Omid Akbari

20 papers receiving 519 citations

Peers

Omid Akbari
Zhixi Yang China
V. S. Kanchana Bhaaskaran India
Sreehari Veeramachaneni India
Nikola Nedovic United States
Mohammad Saeed Ansari Canada
Shen-Iuan Liu Taiwan
Darjn Esposito Italy
Yajuan He China
Kahng United States
D. Villeger United States
Zhixi Yang China
Omid Akbari
Citations per year, relative to Omid Akbari Omid Akbari (= 1×) peers Zhixi Yang

Countries citing papers authored by Omid Akbari

Since Specialization
Citations

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

Fields of papers citing papers by Omid Akbari

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Omid Akbari

This figure shows the co-authorship network connecting the top 25 collaborators of Omid Akbari. A scholar is included among the top collaborators of Omid Akbari 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 Omid Akbari. Omid Akbari 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.
Akbari, Omid, et al.. (2025). A Reinforcement Learning-Based Task Mapping Method to Improve the Reliability of Clustered Manycores. IEEE Access. 13. 123460–123472. 2 indexed citations
2.
Akbari, Omid, et al.. (2024). HPR-Mul: An Area and Energy-Efficient High-Precision Redundancy Multiplier by Approximate Computing. IEEE Transactions on Very Large Scale Integration (VLSI) Systems. 32(11). 2012–2022. 2 indexed citations
3.
4.
Akbari, Omid, et al.. (2024). A deep reinforcement learning-based method for dynamic quality of service aware energy and occupant comfort management in intelligent buildings. SHILAP Revista de lepidopterología. 9. 100700–100700. 2 indexed citations
5.
Akbari, Omid, et al.. (2024). Design Exploration of Fault-Tolerant Deep Neural Networks Using Posit Number Representation System. IEEE Transactions on Very Large Scale Integration (VLSI) Systems. 32(7). 1350–1363.
6.
Akbari, Omid, et al.. (2024). A Two-Level Thermal Cycling-Aware Task Mapping Technique for Reliability Management in Manycore Systems. IEEE Access. 12. 113406–113421. 1 indexed citations
7.
Akbari, Omid, et al.. (2023). An Energy-Efficient Generic Accuracy Configurable Multiplier Based on Block-Level Voltage Overscaling. IEEE Transactions on Emerging Topics in Computing. 11(4). 851–867. 7 indexed citations
8.
Ebrahimi, Behzad, et al.. (2023). Accurate and Compact Approximate 4:2 Compressors with GDI Structure. Circuits Systems and Signal Processing. 42(7). 4148–4169. 2 indexed citations
9.
Akbari, Omid, et al.. (2023). Efficient approximate multipliers utilizing compact and low-power compressors for error-resilient applications. AEU - International Journal of Electronics and Communications. 174. 155039–155039. 10 indexed citations
10.
Akbari, Omid, et al.. (2023). X-Rel: Energy-Efficient and Low-Overhead Approximate Reliability Framework for Error-Tolerant Applications Deployed in Critical Systems. IEEE Transactions on Very Large Scale Integration (VLSI) Systems. 31(7). 1051–1064. 6 indexed citations
11.
Akbari, Omid, et al.. (2022). BEAD: Bounded error approximate adder with carry and sum speculations. Integration. 88. 353–361. 2 indexed citations
12.
Akbari, Omid, et al.. (2022). Accuracy Configurable Adders with Negligible Delay Overhead in Exact Operating Mode. ACM Transactions on Design Automation of Electronic Systems. 28(1). 1–14. 2 indexed citations
13.
Akbari, Omid, et al.. (2019). Block-Based Carry Speculative Approximate Adder for Energy-Efficient Applications. IEEE Transactions on Circuits & Systems II Express Briefs. 67(1). 137–141. 63 indexed citations
14.
Akbari, Omid, Mehdi Kamal, Ali Afzali‐Kusha, Massoud Pedram, & Muhammad Shafique. (2019). X-CGRA: An Energy-Efficient Approximate Coarse-Grained Reconfigurable Architecture. IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems. 39(10). 2558–2571. 36 indexed citations
15.
Akbari, Omid, et al.. (2018). Energy and Reliability Improvement of Voltage-Based, Clustered, Coarse-Grain Reconfigurable Architectures by Employing Quality-Aware Mapping. IEEE Journal on Emerging and Selected Topics in Circuits and Systems. 8(3). 480–493. 16 indexed citations
16.
17.
Akbari, Omid, Mehdi Kamal, Ali Afzali‐Kusha, Massoud Pedram, & Muhammad Shafique. (2018). Toward Approximate Computing for Coarse-Grained Reconfigurable Architectures. IEEE Micro. 38(6). 63–72. 15 indexed citations
18.
Akbari, Omid, Mehdi Kamal, Ali Afzali‐Kusha, & Massoud Pedram. (2017). Dual-Quality 4:2 Compressors for Utilizing in Dynamic Accuracy Configurable Multipliers. IEEE Transactions on Very Large Scale Integration (VLSI) Systems. 25(4). 1352–1361. 218 indexed citations
19.
Akbari, Omid, Mehdi Kamal, Ali Afzali‐Kusha, & Massoud Pedram. (2016). RAP-CLA: A Reconfigurable Approximate Carry Look-Ahead Adder. IEEE Transactions on Circuits & Systems II Express Briefs. 65(8). 1089–1093. 124 indexed citations
20.
Akbari, Omid, et al.. (2013). A Speed Controller System Based on FPGA for High Speed Train. 3. 1 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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