Eitan Yaakobi

4.1k total citations · 1 hit paper
227 papers, 2.6k citations indexed

About

Eitan Yaakobi is a scholar working on Artificial Intelligence, Computer Networks and Communications and Molecular Biology. According to data from OpenAlex, Eitan Yaakobi has authored 227 papers receiving a total of 2.6k indexed citations (citations by other indexed papers that have themselves been cited), including 119 papers in Artificial Intelligence, 112 papers in Computer Networks and Communications and 99 papers in Molecular Biology. Recurrent topics in Eitan Yaakobi's work include DNA and Biological Computing (93 papers), Cellular Automata and Applications (90 papers) and Advanced Data Storage Technologies (89 papers). Eitan Yaakobi is often cited by papers focused on DNA and Biological Computing (93 papers), Cellular Automata and Applications (90 papers) and Advanced Data Storage Technologies (89 papers). Eitan Yaakobi collaborates with scholars based in Israel, United States and Germany. Eitan Yaakobi's co-authors include Paul H. Siegel, Alexander Vardy, Jack K. Wolf, Ryan Gabrys, Jehoshua Bruck, Steven Swanson, Laura M. Grupp, Han Mao Kiah, Joel Coburn and Adrian M. Caulfield and has published in prestigious journals such as Bioinformatics, Scientific Reports and IEEE Transactions on Information Theory.

In The Last Decade

Eitan Yaakobi

210 papers receiving 2.5k citations

Hit Papers

Characterizing flash memory 2009 2026 2014 2020 2009 100 200 300

Peers

Eitan Yaakobi
Lara Dolecek United States
James Bornholt United States
Anxiao Jiang United States
Juan Gómez-Luna Switzerland
I. Hal Sudborough United States
W. W. Peterson United States
Lara Dolecek United States
Eitan Yaakobi
Citations per year, relative to Eitan Yaakobi Eitan Yaakobi (= 1×) peers Lara Dolecek

Countries citing papers authored by Eitan Yaakobi

Since Specialization
Citations

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

Fields of papers citing papers by Eitan Yaakobi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Eitan Yaakobi

This figure shows the co-authorship network connecting the top 25 collaborators of Eitan Yaakobi. A scholar is included among the top collaborators of Eitan Yaakobi 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 Eitan Yaakobi. Eitan Yaakobi 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.
Shechtman, Yoav, et al.. (2025). On the Capacity of DNA Labeling. IEEE Transactions on Information Theory. 71(5). 3457–3472.
2.
Cohen, Tzafra & Eitan Yaakobi. (2025). Optimizing the Decoding Probability and Coverage Ratio of Composite DNA. IEEE Journal on Selected Areas in Information Theory. 6. 417–431. 1 indexed citations
3.
Etzion, Tuvi, et al.. (2025). Scalable and robust DNA-based storage via coding theory and deep learning. Nature Machine Intelligence. 7(4). 639–649. 7 indexed citations
4.
Etzion, Tuvi, et al.. (2024). The Capacity of the Weighted Read Channel. 115–120. 2 indexed citations
5.
Kiah, Han Mao, et al.. (2024). An Optimal Sequence Reconstruction Algorithm for Reed-Solomon Codes. 2832–2837.
6.
Gabrys, Ryan, et al.. (2024). One Code Fits All: Strong Stuck-At Codes for Versatile Memory Encoding. 2634–2639. 1 indexed citations
7.
Wachter-Zeh, Antonia, et al.. (2024). Coding for Composite DNA to Correct Substitutions, Strand Losses, and Deletions. 97–102. 6 indexed citations
8.
Kiah, Han Mao, et al.. (2024). Private Repair of a Single Erasure in Reed-Solomon Codes. 2640–2645.
10.
Cohen, Tomer & Eitan Yaakobi. (2024). Optimizing the Decoding Probability and Coverage Ratio of Composite DNA. 1949–1954. 9 indexed citations
11.
Yaakobi, Eitan, et al.. (2024). Invertible Bloom Lookup Tables with Listing Guarantees. 19–20.
12.
Yaakobi, Eitan, et al.. (2024). Interactive Byzantine-Resilient Gradient Coding for General Data Assignments. mediaTUM (Technical University of Munich). 3273–3278. 2 indexed citations
13.
Chee, Yeow Meng, Tuvi Etzion, Kees A. Schouhamer Immink, et al.. (2024). Thermal-Aware Channel with Multiple Wires. 1035–1040.
14.
Yaakobi, Eitan, et al.. (2024). Universal Framework for Parametric Constrained Coding. 1023–1028. 4 indexed citations
15.
Ebenstein, Yuval, et al.. (2023). Design of optimal labeling patterns for optical genome mapping via information theory. Bioinformatics. 39(10). 5 indexed citations
16.
Gabrys, Ryan, et al.. (2021). Repeat-Free Codes. IEEE Transactions on Information Theory. 67(9). 5749–5764. 19 indexed citations
17.
Lin, Hsuan-Yin, Siddhartha Kumar, Eirik Rosnes, Alexandre Graell i Amat, & Eitan Yaakobi. (2021). The Capacity of Single-Server Weakly-Private Information Retrieval. IEEE Journal on Selected Areas in Information Theory. 2(1). 415–427. 12 indexed citations
18.
Anavy, Leon, et al.. (2020). SOLQC: Synthetic Oligo Library Quality Control tool. Bioinformatics. 37(5). 720–722. 19 indexed citations
19.
Kiah, Han Mao, et al.. (2020). Optimal Reconstruction Codes for Deletion Channels. arXiv (Cornell University). 279–283. 2 indexed citations
20.
Bitar, Rawad, et al.. (2020). Criss-Cross Deletion Correcting Codes. arXiv (Cornell University). 2 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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