Eliav Buchnik
Impact in
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- Software Testing and Debugging Techniques
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- VLSI and Analog Circuit Testing
- Embedded Systems Design Techniques
Papers in
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- Advanced Graph Neural Networks 2
- Text and Document Classification Technologies 2
- Machine Learning and Algorithms 1
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- Traffic control and management 2
Eliav Buchnik
5 papers receiving 27 citations
Peers
Comparison fields: 5 of 15
- Software 4
- Hardware and Architecture 6
- Statistical and Nonlinear Physics 11
- Artificial Intelligence 20
- Computational Theory and Mathematics 4
Countries citing papers authored by Eliav Buchnik
This map shows the geographic impact of Eliav Buchnik'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 Eliav Buchnik with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Eliav Buchnik more than expected).
Fields of papers citing papers by Eliav Buchnik
This network shows the impact of papers produced by Eliav Buchnik. 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 Eliav Buchnik. The network helps show where Eliav Buchnik may publish in the future.
Co-authors
The 7 scholars most cited alongside Eliav Buchnik, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 17 | |
| 2 | 2002 | 7 | |
| 3 | 2018 | 2 | |
| 4 | 2016 | 1 | |
| 5 | 2024 | 1 | |
| 6 | 2024 | 0 | |
| 7 | 2025 | 0 | |
| 8 | 2024 | 0 |
About Eliav Buchnik
Eliav Buchnik is a scholar working on Artificial Intelligence, Control and Systems Engineering, Statistical and Nonlinear Physics, Building and Construction and Computer Networks and Communications, having authored 8 papers that have together received 28 indexed citations. Recurring topics across this work include Advanced Graph Neural Networks (2 papers), Complex Network Analysis Techniques (2 papers), Traffic control and management (2 papers), Traffic Prediction and Management Techniques (2 papers), Text and Document Classification Technologies (2 papers), Machine Learning and Algorithms (1 paper), Complexity and Algorithms in Graphs (1 paper) and Data Management and Algorithms (1 paper). The work is most often cited by research in Software (4 citations), Hardware and Architecture (6 citations), Statistical and Nonlinear Physics (11 citations), Artificial Intelligence (20 citations) and Computational Theory and Mathematics (4 citations). Eliav Buchnik has collaborated with scholars based in United States, Israel and Germany. Frequent co-authors include Edith Cohen, Shmuel Ur, Jack Haddad, Dotan Emanuel, Ori Rottenstreich, Avinatan Hassidim and Avinatan Hassidim. Their work appears in journals such as ACM SIGMETRICS Performance Evaluation Review.
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.