Afshin Abdi

463 total citations
31 papers, 211 citations indexed

About

Afshin Abdi is a scholar working on Artificial Intelligence, Electrical and Electronic Engineering and Computational Mechanics. According to data from OpenAlex, Afshin Abdi has authored 31 papers receiving a total of 211 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Artificial Intelligence, 15 papers in Electrical and Electronic Engineering and 13 papers in Computational Mechanics. Recurrent topics in Afshin Abdi's work include Sparse and Compressive Sensing Techniques (13 papers), Distributed Sensor Networks and Detection Algorithms (7 papers) and Wireless Communication Security Techniques (6 papers). Afshin Abdi is often cited by papers focused on Sparse and Compressive Sensing Techniques (13 papers), Distributed Sensor Networks and Detection Algorithms (7 papers) and Wireless Communication Security Techniques (6 papers). Afshin Abdi collaborates with scholars based in United States, China and Algeria. Afshin Abdi's co-authors include Faramarz Fekri, Xin Tian, Mohamed Mohandes, Arash Einolghozati, Joseph B. Soriaga, Jun Zou, Hang Zhang, Entao Liu, Hadi Esmaeilzadeh and Tushar Krishna and has published in prestigious journals such as IEEE Transactions on Signal Processing, IEEE Journal on Selected Areas in Communications and IEEE Signal Processing Magazine.

In The Last Decade

Afshin Abdi

25 papers receiving 203 citations

Peers

Countries citing papers authored by Afshin Abdi

Since Specialization

Citations

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

Fields of papers citing papers by Afshin Abdi

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Afshin Abdi

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

All Works

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20 of 20 papers shown

#	Work	Indexed citations
1	Efficient Distributed Inference of Deep Neural Networks via Restructuring and Pruning 2023 ·Proceedings of the AAAI Conference on Artificial Intelligence ·Afshin Abdi, (unknown), Faramarz Fekri, Tushar Krishna	1
2	A General Compressive Sensing Construct Using Density Evolution 2022 ·IEEE Transactions on Signal Processing ·(unknown), Afshin Abdi, Faramarz Fekri	0
3	A Machine Learning Framework for Privacy-Aware Distributed Functional Compression over AWGN Channels 2022 ·(unknown), Faramarz Fekri, Afshin Abdi	1
4	Deep Sequential Beamformer Learning for Multipath Channels in Mmwave Communication Systems 2022 ·ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) ·(unknown), Afshin Abdi, Joseph B. Soriaga	5
5	Analog Joint Source-Channel Coding for Distributed Functional Compression using Deep Neural Networks 2021 ·(unknown), Afshin Abdi, Faramarz Fekri	3
6	Analog Compression and Communication for Federated Learning over Wireless MAC 2020 ·Afshin Abdi, (unknown), Faramarz Fekri	12
7	Joint Source-Channel Coding for Gaussian Sources over AWGN Channels using Variational Autoencoders 2019 ·(unknown), Afshin Abdi, Faramarz Fekri	13
8	Joint Source-Channel Coding of Gaussian sources over AWGN channels via Manifold Variational Autoencoders 2019 ·(unknown), Afshin Abdi, Faramarz Fekri	12
9	Reducing Communication Overhead via CEO in Distributed Training 2019 ·Afshin Abdi, Faramarz Fekri	11
10	Advances in Seismic Data Compression via Learning from Data: Compression for Seismic Data Acquisition 2018 ·IEEE Signal Processing Magazine ·(unknown), Afshin Abdi, Xin Tian, Faramarz Fekri, Mohamed Mohandes	19
11	Seismic Signal Compression Through Delay Compensated and Entropy Constrained Dictionary Learning 2018 ·Xin Tian, Afshin Abdi, Entao Liu, Faramarz Fekri	3
12	Compressive sensing with energy constraint 2017 ·(unknown), Afshin Abdi, Faramarz Fekri	3
13	Learning dictionary for efficient signal compression 2017 ·Afshin Abdi, (unknown), Faramarz Fekri	8
14	Optimal sensor selection in the presence of noise and interference 2017 ·Afshin Abdi, Faramarz Fekri	3
15	Memory-assisted seismic signal compression based on dictionary learning and sparse coding 2017 ·Xin Tian, Afshin Abdi, Entao Liu, Faramarz Fekri	1
16	Micro-RNA profile detection via factor graphs 2016 ·Arash Einolghozati, Jun Zou, Afshin Abdi, Faramarz Fekri	4
17	Error correction for approximate computing 2016 ·(unknown), Afshin Abdi, Faramarz Fekri, Hadi Esmaeilzadeh	0
18	Source identification and compression of mixture data from finite observations 2015 ·Afshin Abdi, Faramarz Fekri	0
19	2D analytical solution of transverse flux induction heating of the aluminum plates 2012 ·(unknown), Afshin Abdi, (unknown)	4
20	Empirical Modeling of EDM Parameters Using Grey Relational Analysis 2008 ·Asian Journal of Scientific Research ·(unknown), (unknown), Afshin Abdi, (unknown)	11

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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