Ilya Shnayderman
- Artificial Intelligence
- Computer Networks and Communications
- Computer Vision and Pattern Recognition
- Information Systems
- Hardware and Architecture
- Topics
- Distributed systems and fault tolerance (4 papers)Topic Modeling (4 papers)Advanced Text Analysis Techniques (3 papers)
- Journals
- Infoscience (Ecole Polytechnique Fédérale de Lausanne)Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)Proceedings of the AAAI Conference on Artificial Intelligence
- Partner nations
- IsraelSwitzerlandCanada
In The Last Decade
Ilya Shnayderman
9 papers receiving 73 citations
Peers
Comparison fields: 5 of 30
- Artificial Intelligence 42
- Computer Networks and Communications 34
- Computer Vision and Pattern Recognition 10
- Information Systems 7
- Hardware and Architecture 4
Countries citing papers authored by Ilya Shnayderman
This map shows the geographic impact of Ilya Shnayderman'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 Ilya Shnayderman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ilya Shnayderman more than expected).
Fields of papers citing papers by Ilya Shnayderman
This network shows the impact of papers produced by Ilya Shnayderman. 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 Ilya Shnayderman. The network helps show where Ilya Shnayderman may publish in the future.
Co-authorship network of co-authors of Ilya Shnayderman
This figure shows the co-authorship network connecting the top 25 collaborators of Ilya Shnayderman. A scholar is included among the top collaborators of Ilya Shnayderman 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 Ilya Shnayderman. Ilya Shnayderman is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 10 | |
| 2 | 10 | |
| 3 | 4 | |
| 4 | 8 | |
| 5 | 16 | |
| 6 | 2 | |
| 7 | 24 | |
| 8 | Evaluating Total Order Algorithms in WAN | 6 |
| 9 | Comparison of Failure Detectors and Group Membership: Performance Study of Two Atomic Broadcast Algorithms (extended version) | 1 |
About Ilya Shnayderman
Ilya Shnayderman is a scholar working on Computer Networks and Communications, Artificial Intelligence and Hardware and Architecture, having authored 9 papers that have together received 81 indexed citations. Recurring topics across this work include Distributed systems and fault tolerance (4 papers), Topic Modeling (4 papers) and Advanced Text Analysis Techniques (3 papers). The work is most often cited by research in Computer Networks and Communications (34 citations), Health Informatics (2 citations) and Artificial Intelligence (42 citations). Ilya Shnayderman has collaborated with scholars based in Israel, Switzerland and Canada. Frequent co-authors include A. Schiper, Péter Urbán, Noam Slonim, Ranit Aharonov, Liat Ein‐Dor, Alon Halfon, Tal Anker, Yosi Mass, Danny Dolev and Lena Dankin. Their work appears in journals such as Infoscience (Ecole Polytechnique Fédérale de Lausanne), Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) and Proceedings of the AAAI Conference on Artificial Intelligence.
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.