Nickos Papadatos
- Statistics and Probability top 2%
- Management Science and Operations Research top 10%
- Artificial Intelligence
- Statistics, Probability and Uncertainty top 5%
- Applied Mathematics top 10%
- Co-authors
- Michael G. AkritasV. PapathanasiouN. BalakrishnanCh. A. CharalambidesT. CacoullosTomasz Rychlik
- Topics
- Statistical Distribution Estimation and Applications (16 papers)Advanced Statistical Methods and Models (10 papers)Probability and Risk Models (9 papers)
- Cited by
- Statistics and ProbabilityStatistics, Probability and UncertaintyManagement Science and Operations Research
In The Last Decade
Nickos Papadatos
28 papers receiving 263 citations
Peers
Comparison fields: 5 of 74
- Statistics and Probability 199
- Management Science and Operations Research 71
- Artificial Intelligence 53
- Statistics, Probability and Uncertainty 44
- Applied Mathematics 34
Countries citing papers authored by Nickos Papadatos
This map shows the geographic impact of Nickos Papadatos'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 Nickos Papadatos with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nickos Papadatos more than expected).
Fields of papers citing papers by Nickos Papadatos
This network shows the impact of papers produced by Nickos Papadatos. 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 Nickos Papadatos. The network helps show where Nickos Papadatos may publish in the future.
Co-authorship network of co-authors of Nickos Papadatos
This figure shows the co-authorship network connecting the top 25 collaborators of Nickos Papadatos. A scholar is included among the top collaborators of Nickos Papadatos 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 Nickos Papadatos. Nickos Papadatos 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 | 0 | |
| 3 | 3 | |
| 4 | 5 | |
| 5 | 17 | |
| 6 | 1 | |
| 7 | 0 | |
| 8 | The Discrete Mohr and Noll Inequality with Applications to Variance Bounds | 7 |
| 9 | 6 | |
| 10 | 9 | |
| 11 | 1 | |
| 12 | 9 | |
| 13 | UPPER BOUND FOR THE COVARIANCE OF EXTREME ORDER STATISTICS FROM A SAMPLE OF SIZE THREE | 4 |
| 14 | 0 | |
| 15 | 5 | |
| 16 | 15 | |
| 17 | 10 | |
| 18 | 4 | |
| 19 | 4 | |
| 20 | 1 |
About Nickos Papadatos
Nickos Papadatos is a scholar working on Statistics and Probability, Management Science and Operations Research and Applied Mathematics, having authored 31 papers that have together received 276 indexed citations. Recurring topics across this work include Statistical Distribution Estimation and Applications (16 papers), Advanced Statistical Methods and Models (10 papers) and Probability and Risk Models (9 papers). The work is most often cited by research in Statistics and Probability (199 citations), Statistics, Probability and Uncertainty (44 citations) and Management Science and Operations Research (71 citations). Nickos Papadatos has collaborated with scholars based in Greece, Cyprus and Canada. Frequent co-authors include Michael G. Akritas, V. Papathanasiou, N. Balakrishnan, Ch. A. Charalambides, T. Cacoullos and Tomasz Rychlik. Their work appears in journals such as Journal of the American Statistical Association, The American Statistician and Journal of Applied Probability.
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.