Michael G. Akritas
- Statistics and Probability top 0.2%
- Astronomy and Astrophysics top 5%
- Management Science and Operations Research top 1%
- Artificial Intelligence top 5%
- Nuclear and High Energy Physics top 10%
- Co-authors
- Steven F. ArnoldEric D. FeigelsonG. Jogesh BabuIngrid Van KeilegomEdgar BrunnerMichael P. LaValleyJ. SiebertSusan A. Murphy
- Topics
- Statistical Methods and Inference (59 papers)Advanced Statistical Methods and Models (54 papers)Statistical Methods and Bayesian Inference (31 papers)
- Cited by
- Statistics and ProbabilityManagement Science and Operations ResearchAstronomy and Astrophysics
- Journals
- SHILAP Revista de lepidopterologíaJournal of the American Statistical AssociationThe Astrophysical Journal
- Partner nations
- United StatesGermanyGreece
In The Last Decade
Michael G. Akritas
101 papers receiving 2.7k citations
Hit Papers
Peers
Comparison fields: 5 of 176
- Statistics and Probability 1.5k
- Astronomy and Astrophysics 623
- Management Science and Operations Research 515
- Artificial Intelligence 264
- Nuclear and High Energy Physics 151
Countries citing papers authored by Michael G. Akritas
This map shows the geographic impact of Michael G. Akritas'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 Michael G. Akritas with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael G. Akritas more than expected).
Fields of papers citing papers by Michael G. Akritas
This network shows the impact of papers produced by Michael G. Akritas. 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 Michael G. Akritas. The network helps show where Michael G. Akritas may publish in the future.
Co-authorship network of co-authors of Michael G. Akritas
This figure shows the co-authorship network connecting the top 25 collaborators of Michael G. Akritas. A scholar is included among the top collaborators of Michael G. Akritas 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 Michael G. Akritas. Michael G. Akritas is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | Probability & Statistics with R for Engineers and Scientists | 12 |
| 2 | 14 | |
| 3 | 4 | |
| 4 | 7 | |
| 5 | 9 | |
| 6 | 11 | |
| 7 | 11 | |
| 8 | 7 | |
| 9 | Estimation of the bivariate and marginal distributions with censored data | 2 |
| 10 | 17 | |
| 11 | 12 | |
| 12 | 2 | |
| 13 | 154 | |
| 14 | 3 | |
| 15 | 56 | |
| 16 | 2 | |
| 17 | 143 | |
| 18 | 47 | |
| 19 | 11 | |
| 20 | 3 |
About Michael G. Akritas
Michael G. Akritas is a scholar working on Statistics and Probability, Management Science and Operations Research and Statistics, Probability and Uncertainty, having authored 105 papers that have together received 2.9k indexed citations. Recurring topics across this work include Statistical Methods and Inference (59 papers), Advanced Statistical Methods and Models (54 papers) and Statistical Methods and Bayesian Inference (31 papers). The work is most often cited by research in Statistics and Probability (1.5k citations), Management Science and Operations Research (515 citations) and Astronomy and Astrophysics (623 citations). Michael G. Akritas has collaborated with scholars based in United States, Germany and Greece. Frequent co-authors include Steven F. Arnold, Eric D. Feigelson, G. Jogesh Babu, Ingrid Van Keilegom, Edgar Brunner, Michael P. LaValley, J. Siebert, Susan A. Murphy, Nickos Papadatos and Lan Wang. Their work appears in journals such as SHILAP Revista de lepidopterología, Journal of the American Statistical Association and The Astrophysical Journal.
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.