Yoseph Shpungin
- Safety, Risk, Reliability and Quality top 2%
- Statistics, Probability and Uncertainty top 1%
- Statistics and Probability top 2%
- Software top 5%
- Artificial Intelligence
- Topics
- Reliability and Maintenance Optimization (10 papers)Complex Network Analysis Techniques (6 papers)Software Reliability and Analysis Research (5 papers)
- Cited by
- Safety, Risk, Reliability and QualityStatistics, Probability and UncertaintyStatistics and Probability
In The Last Decade
Yoseph Shpungin
29 papers receiving 391 citations
Peers
Comparison fields: 5 of 51
- Safety, Risk, Reliability and Quality 240
- Statistics, Probability and Uncertainty 173
- Statistics and Probability 173
- Software 76
- Artificial Intelligence 49
Countries citing papers authored by Yoseph Shpungin
This map shows the geographic impact of Yoseph Shpungin'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 Yoseph Shpungin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yoseph Shpungin more than expected).
Fields of papers citing papers by Yoseph Shpungin
This network shows the impact of papers produced by Yoseph Shpungin. 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 Yoseph Shpungin. The network helps show where Yoseph Shpungin may publish in the future.
Co-authorship network of co-authors of Yoseph Shpungin
This figure shows the co-authorship network connecting the top 25 collaborators of Yoseph Shpungin. A scholar is included among the top collaborators of Yoseph Shpungin 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 Yoseph Shpungin. Yoseph Shpungin is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | System Reliability for Shock and Lottery Models | 0 |
| 3 | Reliability Of Heterogeneous (k,r)-out-of-(n,m) System | 5 |
| 4 | Network reliability Monte Carlo with nodes subject to failure | 4 |
| 5 | 2 | |
| 6 | 4 | |
| 7 | 10 | |
| 8 | 65 | |
| 9 | 25 | |
| 10 | 6 | |
| 11 | Spectral approach to reliability evaluation of flow networks | 5 |
| 12 | 1 | |
| 13 | 19 | |
| 14 | 28 | |
| 15 | 38 | |
| 16 | Network reliability importance measures: combinatorics and Monte Carlo based computations | 13 |
| 17 | 10 | |
| 18 | 13 | |
| 19 | Combinatorial approaches to Monte Carlo estimation of network lifetime distribution: Research Articles | 1 |
| 20 | 10 |
About Yoseph Shpungin
Yoseph Shpungin is a scholar working on Software, Safety, Risk, Reliability and Quality and Statistics, Probability and Uncertainty, having authored 30 papers that have together received 411 indexed citations. Recurring topics across this work include Reliability and Maintenance Optimization (10 papers), Complex Network Analysis Techniques (6 papers) and Software Reliability and Analysis Research (5 papers). The work is most often cited by research in Safety, Risk, Reliability and Quality (240 citations), Statistics, Probability and Uncertainty (173 citations) and Statistics and Probability (173 citations). Yoseph Shpungin has collaborated with scholars based in Israel, Italy and Australia. Frequent co-authors include Ilya Gertsbakh, Fabio Spizzichino, Gregory Levitin and Reuven Y. Rubinstein. Their work appears in journals such as Reliability Engineering & System Safety, Journal of Applied Probability and Random Structures and Algorithms.
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.