Marianthi Markatou
- Artificial Intelligence top 2%
- Molecular Biology
- Epidemiology top 5%
- Statistics and Probability top 0.5%
- Hepatology top 2%
- Co-authors
- George HripcsakAndrew H. TalalC FriedmanBruce G. LindsayJoël L. HorowitzMarija ZeremskiXiaofang WangRositsa B. Dimova
- Topics
- Advanced Statistical Methods and Models (28 papers)Statistical Methods and Inference (19 papers)Hepatitis C virus research (15 papers)
- Partner nations
- United StatesIndiaItaly
In The Last Decade
Marianthi Markatou
84 papers receiving 2.6k citations
Peers
Comparison fields: 5 of 172
- Artificial Intelligence 702
- Molecular Biology 663
- Epidemiology 543
- Statistics and Probability 528
- Hepatology 490
Countries citing papers authored by Marianthi Markatou
This map shows the geographic impact of Marianthi Markatou'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 Marianthi Markatou with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Marianthi Markatou more than expected).
Fields of papers citing papers by Marianthi Markatou
This network shows the impact of papers produced by Marianthi Markatou. 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 Marianthi Markatou. The network helps show where Marianthi Markatou may publish in the future.
Co-authorship network of co-authors of Marianthi Markatou
This figure shows the co-authorship network connecting the top 25 collaborators of Marianthi Markatou. A scholar is included among the top collaborators of Marianthi Markatou 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 Marianthi Markatou. Marianthi Markatou 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 | 8 | |
| 4 | 0 | |
| 5 | 2 | |
| 6 | 15 | |
| 7 | 1 | |
| 8 | 45 | |
| 9 | 9 | |
| 10 | 91 | |
| 11 | 97 | |
| 12 | 27 | |
| 13 | 183 | |
| 14 | Quadratic distances on probabilities: A unified foundation | 30 |
| 15 | 28 | |
| 16 | 38 | |
| 17 | 67 | |
| 18 | 37 | |
| 19 | Test of hypotheses based on the Weighted Likelihood Methodology | 30 |
| 20 | 33 |
About Marianthi Markatou
Marianthi Markatou is a scholar working on Statistics and Probability, Toxicology and Statistics, Probability and Uncertainty, having authored 87 papers that have together received 2.7k indexed citations. Recurring topics across this work include Advanced Statistical Methods and Models (28 papers), Statistical Methods and Inference (19 papers) and Hepatitis C virus research (15 papers). The work is most often cited by research in Toxicology (228 citations), Statistics and Probability (528 citations) and Hepatology (490 citations). Marianthi Markatou has collaborated with scholars based in United States, India and Italy. Frequent co-authors include George Hripcsak, Andrew H. Talal, C Friedman, Bruce G. Lindsay, Joël L. Horowitz, Marija Zeremski, Xiaofang Wang, Rositsa B. Dimova, Hua Xu and Queenie B. Brown. Their work appears in journals such as JAMA, Journal of the American Statistical Association and Bioinformatics.
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.