Eitan Yaakobi
- Computer Networks and Communications top 0.5%
- Artificial Intelligence top 1%
- Computational Theory and Mathematics top 0.5%
- Molecular Biology top 10%
- Electrical and Electronic Engineering top 10%
- Co-authors
- Paul H. SiegelAlexander VardyJack K. WolfRyan GabrysJehoshua BruckSteven SwansonLaura M. GruppHan Mao Kiah
- Topics
- DNA and Biological Computing (93 papers)Cellular Automata and Applications (90 papers)Advanced Data Storage Technologies (89 papers)
- Cited by
- Computer Networks and CommunicationsComputational Theory and MathematicsHardware and Architecture
- Partner nations
- IsraelUnited StatesGermany
In The Last Decade
Eitan Yaakobi
210 papers receiving 2.5k citations
Hit Papers
Peers
Comparison fields: 5 of 51
- Computer Networks and Communications 1.6k
- Artificial Intelligence 1.1k
- Computational Theory and Mathematics 942
- Molecular Biology 867
- Electrical and Electronic Engineering 486
Countries citing papers authored by Eitan Yaakobi
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
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
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | 7 | |
| 4 | 2 | |
| 5 | 0 | |
| 6 | 1 | |
| 7 | 6 | |
| 8 | 0 | |
| 9 | 0 | |
| 10 | 9 | |
| 11 | 0 | |
| 12 | 2 | |
| 13 | 0 | |
| 14 | 4 | |
| 15 | 5 | |
| 16 | 19 | |
| 17 | 12 | |
| 18 | 19 | |
| 19 | Optimal Reconstruction Codes for Deletion Channels | 2 |
| 20 | Criss-Cross Deletion Correcting Codes | 2 |
About Eitan Yaakobi
Eitan Yaakobi is a scholar working on Computational Theory and Mathematics, Computer Networks and Communications and Artificial Intelligence, having authored 227 papers that have together received 2.6k indexed citations. Recurring topics across this work include DNA and Biological Computing (93 papers), Cellular Automata and Applications (90 papers) and Advanced Data Storage Technologies (89 papers). The work is most often cited by research in Computer Networks and Communications (1.6k citations), Computational Theory and Mathematics (942 citations) and Hardware and Architecture (264 citations). Eitan Yaakobi has collaborated with scholars based in Israel, United States and Germany. Frequent 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. Their work appears in journals such as Bioinformatics, Scientific Reports and IEEE Transactions on Information Theory.
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.