Arash Einolghozati

615 total citations
22 papers, 338 citations indexed

About

Arash Einolghozati is a scholar working on Biomedical Engineering, Molecular Biology and Artificial Intelligence. According to data from OpenAlex, Arash Einolghozati has authored 22 papers receiving a total of 338 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Biomedical Engineering, 10 papers in Molecular Biology and 7 papers in Artificial Intelligence. Recurrent topics in Arash Einolghozati's work include Molecular Communication and Nanonetworks (11 papers), Wireless Body Area Networks (9 papers) and Gene Regulatory Network Analysis (7 papers). Arash Einolghozati is often cited by papers focused on Molecular Communication and Nanonetworks (11 papers), Wireless Body Area Networks (9 papers) and Gene Regulatory Network Analysis (7 papers). Arash Einolghozati collaborates with scholars based in United States, Switzerland and Israel. Arash Einolghozati's co-authors include Faramarz Fekri, Mohsen Sardari, Ahmad Beirami, Xin Luna Dong, Sonal Gupta, Prashant Shiralkar, Varun Gangal, Jun Zou, Erman Ayday and Afshin Abdi and has published in prestigious journals such as IEEE Journal on Selected Areas in Communications, Proceedings of the VLDB Endowment and Nano Communication Networks.

In The Last Decade

Arash Einolghozati

21 papers receiving 329 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Arash Einolghozati United States 10 233 182 86 68 40 22 338
Saied M. Abd El‐atty Egypt 9 122 0.5× 86 0.5× 42 0.5× 144 2.1× 40 1.0× 66 363
Siena Dumas Ang United States 7 50 0.2× 354 1.9× 184 2.1× 27 0.4× 30 0.8× 7 511
Mahtab Mirmohseni Iran 11 215 0.9× 161 0.9× 14 0.2× 233 3.4× 10 0.3× 82 427
Mohsen Sardari United States 11 207 0.9× 163 0.9× 60 0.7× 109 1.6× 2 0.1× 23 356
Max Willsey United States 8 55 0.2× 120 0.7× 56 0.7× 56 0.8× 16 0.4× 14 247
Sean Choi United States 10 19 0.1× 41 0.2× 33 0.4× 70 1.0× 62 1.6× 20 333
W.A. Clarke South Africa 9 12 0.1× 129 0.7× 61 0.7× 81 1.2× 9 0.2× 38 264
Jan Huertas Spain 13 106 0.5× 151 0.8× 64 0.7× 242 3.6× 1 0.0× 41 441
Yingfei Xiang China 6 41 0.2× 44 0.2× 109 1.3× 66 1.0× 25 0.6× 8 236
Hassaan Saadat Australia 8 52 0.2× 67 0.4× 51 0.6× 130 1.9× 4 0.1× 19 236

Countries citing papers authored by Arash Einolghozati

Since Specialization
Citations

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

Fields of papers citing papers by Arash Einolghozati

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Arash Einolghozati

This figure shows the co-authorship network connecting the top 25 collaborators of Arash Einolghozati. A scholar is included among the top collaborators of Arash Einolghozati 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 Arash Einolghozati. Arash Einolghozati 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.
Einolghozati, Arash, et al.. (2024). Small But Funny: A Feedback-Driven Approach to Humor Distillation. 13078–13090.
2.
Luo, Man, Anchit Gupta, Arash Einolghozati, et al.. (2023). A Study on the Efficiency and Generalization of Light Hybrid Retrievers. 1617–1626. 2 indexed citations
3.
Heidari, Peyman, Arash Einolghozati, Shashank Jain, et al.. (2021). Getting to Production with Few-shot Natural Language Generation Models. 66–76. 9 indexed citations
4.
Li, Haoran, Arash Einolghozati, Srinivasan Iyer, et al.. (2021). EASE: Extractive-Abstractive Summarization End-to-End using the Information Bottleneck Principle. 85–95. 5 indexed citations
5.
Gangal, Varun, et al.. (2020). Likelihood Ratios and Generative Classifiers for Unsupervised Out-of-Domain Detection in Task Oriented Dialog. Proceedings of the AAAI Conference on Artificial Intelligence. 34(5). 7764–7771. 28 indexed citations
6.
Dong, Xin Luna, et al.. (2018). CERES. Proceedings of the VLDB Endowment. 11(10). 1084–1096. 33 indexed citations
7.
Bicen, A. Ozan, Arash Einolghozati, Faramarz Fekri, et al.. (2017). nanoNS3: A network simulator for bacterial nanonetworks based on molecular communication. Nano Communication Networks. 12. 1–11. 12 indexed citations
8.
Abdi, Afshin, Arash Einolghozati, & Faramarz Fekri. (2017). Quantization in Molecular Signal Sensing via Biological Agents. IEEE Transactions on Molecular Biological and Multi-Scale Communications. 3(2). 106–117. 3 indexed citations
9.
Einolghozati, Arash, Jun Zou, Afshin Abdi, & Faramarz Fekri. (2016). Micro-RNA profile detection via factor graphs. 1–5. 4 indexed citations
10.
Einolghozati, Arash & Faramarz Fekri. (2016). Analysis of Error-Detection Schemes in Diffusion-Based Molecular Communication. IEEE Journal on Selected Areas in Communications. 34(3). 615–624. 8 indexed citations
11.
Einolghozati, Arash & Faramarz Fekri. (2015). Error detection in diffusion-based molecular communication. 1. 1128–1133. 3 indexed citations
12.
Einolghozati, Arash, Mohsen Sardari, & Faramarz Fekri. (2015). Networks of bacteria colonies: A new framework for reliable molecular communication networking. Nano Communication Networks. 7. 17–26. 7 indexed citations
13.
Einolghozati, Arash, Mohsen Sardari, & Faramarz Fekri. (2014). Decode and forward relaying in diffusion-based molecular communication between two populations of biological agents. 3975–3980. 24 indexed citations
14.
Zou, Jun, Arash Einolghozati, Erman Ayday, & Faramarz Fekri. (2013). Iterative similarity inference via message passing in factor graphs for Collaborative Filtering. 1–5. 1 indexed citations
15.
Zou, Jun, Arash Einolghozati, & Faramarz Fekri. (2013). Privacy-preserving item-based Collaborative Filtering using semi-distributed Belief Propagation. 189–197. 8 indexed citations
16.
Ayday, Erman, Jun Zou, Arash Einolghozati, & Faramarz Fekri. (2012). A recommender system based on Belief Propagation over Pairwise Markov Random Fields. Infoscience (Ecole Polytechnique Fédérale de Lausanne). 703–707. 5 indexed citations
17.
Ayday, Erman, Arash Einolghozati, & Faramarz Fekri. (2012). BPRS: Belief Propagation based iterative recommender system. 8 indexed citations
18.
Einolghozati, Arash, Mohsen Sardari, Ahmad Beirami, & Faramarz Fekri. (2011). Consensus problem under diffusion-based molecular communication. 1–6. 15 indexed citations
19.
Einolghozati, Arash, Mohsen Sardari, Ahmad Beirami, & Faramarz Fekri. (2011). Capacity of discrete molecular diffusion channels. 723–727. 70 indexed citations
20.
Einolghozati, Arash, Mohsen Sardari, & Faramarz Fekri. (2011). Capacity of diffusion-based molecular communication with ligand receptors. 85–89. 60 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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