Gerardo Rubino
- Safety, Risk, Reliability and Quality top 2%
- Management Science and Operations Research top 5%
- Statistics, Probability and Uncertainty top 2%
- Statistics and Probability top 5%
- Management Information Systems top 10%
- Co-authors
- Bruno TuffinBruno SéricolaPierre L’EcuyerHéctor CancelaJames LedouxFranco RobledoRaúl TemponeM. M. Rao
- Topics
- Advanced Queuing Theory Analysis (7 papers)Probability and Risk Models (7 papers)Stochastic processes and statistical mechanics (6 papers)
In The Last Decade
Gerardo Rubino
18 papers receiving 450 citations
Peers
Comparison fields: 5 of 79
- Safety, Risk, Reliability and Quality 154
- Management Science and Operations Research 115
- Statistics, Probability and Uncertainty 108
- Statistics and Probability 95
- Management Information Systems 78
Countries citing papers authored by Gerardo Rubino
This map shows the geographic impact of Gerardo Rubino'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 Gerardo Rubino with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gerardo Rubino more than expected).
Fields of papers citing papers by Gerardo Rubino
This network shows the impact of papers produced by Gerardo Rubino. 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 Gerardo Rubino. The network helps show where Gerardo Rubino may publish in the future.
Co-authorship network of co-authors of Gerardo Rubino
This figure shows the co-authorship network connecting the top 25 collaborators of Gerardo Rubino. A scholar is included among the top collaborators of Gerardo Rubino 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 Gerardo Rubino. Gerardo Rubino is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 8 | |
| 2 | 1 | |
| 3 | 14 | |
| 4 | 37 | |
| 5 | 246 | |
| 6 | 5 | |
| 7 | 4 | |
| 8 | 10 | |
| 9 | 2 | |
| 10 | 4 | |
| 11 | 1 | |
| 12 | 2 | |
| 13 | 27 | |
| 14 | 10 | |
| 15 | A Monte Carlo method based on antithetic variates for network reliability computations | 3 |
| 16 | Calculating the busy period distribution of the M/M/1 queue | 3 |
| 17 | 87 | |
| 18 | 10 |
About Gerardo Rubino
Gerardo Rubino is a scholar working on Management Information Systems, Statistics and Probability and Management Science and Operations Research, having authored 18 papers that have together received 474 indexed citations. Recurring topics across this work include Advanced Queuing Theory Analysis (7 papers), Probability and Risk Models (7 papers) and Stochastic processes and statistical mechanics (6 papers). The work is most often cited by research in Software (73 citations), Safety, Risk, Reliability and Quality (154 citations) and Statistics, Probability and Uncertainty (108 citations). Gerardo Rubino has collaborated with scholars based in France, Uruguay and Canada. Frequent co-authors include Bruno Tuffin, Bruno Séricola, Pierre L’Ecuyer, Héctor Cancela, James Ledoux, Franco Robledo, Raúl Tempone, M. M. Rao, Stéphanie Mahévas and Pieter-Tjerk de Boer. Their work appears in journals such as IEEE Transactions on Computers, IEEE Transactions on Reliability and Computer Communications.
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.