Ivan Beschastnikh
- Information Systems top 0.5%
- Computer Networks and Communications top 1%
- Artificial Intelligence top 2%
- Software top 1%
- Computer Science Applications top 2%
- Co-authors
- Yuriy BrunMichael D. ErnstArvind KrishnamurthyClement FungChris J. M. YoonTravis KripleanDavid W. McDonaldMuhammad Shayan
- Topics
- Software System Performance and Reliability (29 papers)Software Engineering Research (28 papers)Software Testing and Debugging Techniques (20 papers)
- Partner nations
- CanadaUnited StatesSingapore
In The Last Decade
Ivan Beschastnikh
81 papers receiving 1.9k citations
Peers
Comparison fields: 5 of 76
- Information Systems 1.1k
- Computer Networks and Communications 1.0k
- Artificial Intelligence 623
- Software 418
- Computer Science Applications 185
Countries citing papers authored by Ivan Beschastnikh
This map shows the geographic impact of Ivan Beschastnikh'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 Ivan Beschastnikh with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ivan Beschastnikh more than expected).
Fields of papers citing papers by Ivan Beschastnikh
This network shows the impact of papers produced by Ivan Beschastnikh. 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 Ivan Beschastnikh. The network helps show where Ivan Beschastnikh may publish in the future.
Co-authorship network of co-authors of Ivan Beschastnikh
This figure shows the co-authorship network connecting the top 25 collaborators of Ivan Beschastnikh. A scholar is included among the top collaborators of Ivan Beschastnikh 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 Ivan Beschastnikh. Ivan Beschastnikh is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 1 | |
| 3 | 0 | |
| 4 | 1 | |
| 5 | 3 | |
| 6 | 5 | |
| 7 | 4 | |
| 8 | 3 | |
| 9 | The Limitations of Federated Learning in Sybil Settings | 52 |
| 10 | Jumpgate: In-Network Processing as a Service for Data Analytics. | 7 |
| 11 | 18 | |
| 12 | 5 | |
| 13 | 21 | |
| 14 | Effects of Centralized and Distributed Version Control on Commit Granularity | 1 |
| 15 | Bandsaw: Log-powered test scenario generation for distributed systems | 1 |
| 16 | Teaching networking and distributed systems with Seattle: tutorial presentation | 2 |
| 17 | 8 | |
| 18 | Teaching networking and distributed systems with Seattle | 2 |
| 19 | SatelliteLab: Adding Heterogeneity to Planetary-Scale Testbeds | 1 |
| 20 | Building an Infrastructure for Urgent Computing. | 9 |
About Ivan Beschastnikh
Ivan Beschastnikh is a scholar working on Software, Information Systems and Computer Networks and Communications, having authored 83 papers that have together received 2.0k indexed citations. Recurring topics across this work include Software System Performance and Reliability (29 papers), Software Engineering Research (28 papers) and Software Testing and Debugging Techniques (20 papers). The work is most often cited by research in Software (418 citations), Information Systems (1.1k citations) and Computer Networks and Communications (1.0k citations). Ivan Beschastnikh has collaborated with scholars based in Canada, United States and Singapore. Frequent co-authors include Yuriy Brun, Michael D. Ernst, Arvind Krishnamurthy, Clement Fung, Chris J. M. Yoon, Travis Kriplean, David W. McDonald, Muhammad Shayan, Justin Cappos and Thomas E. Anderson. Their work appears in journals such as Communications of the ACM, IEEE Transactions on Software Engineering and 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.