Malwane M. A. Ananda
- Statistics and Probability top 1%
- Statistics, Probability and Uncertainty top 1%
- Management Science and Operations Research top 5%
- Finance top 10%
- Safety, Risk, Reliability and Quality top 5%
- Co-authors
- Kahadawala CooraySamaradasa WeerahandiAndrew L. RukhinAshok K. SinghJinadasa GamageBowen LiuOsman Dağ
- Topics
- Statistical Distribution Estimation and Applications (20 papers)Statistical Methods and Bayesian Inference (13 papers)Probabilistic and Robust Engineering Design (8 papers)
- Cited by
- Statistics and ProbabilityStatistics, Probability and UncertaintyManagement Science and Operations Research
- Partner nations
- United StatesTürkiyeRussia
In The Last Decade
Malwane M. A. Ananda
30 papers receiving 540 citations
Peers
Comparison fields: 5 of 88
- Statistics and Probability 442
- Statistics, Probability and Uncertainty 194
- Management Science and Operations Research 137
- Finance 81
- Safety, Risk, Reliability and Quality 73
Countries citing papers authored by Malwane M. A. Ananda
This map shows the geographic impact of Malwane M. A. Ananda'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 Malwane M. A. Ananda with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Malwane M. A. Ananda more than expected).
Fields of papers citing papers by Malwane M. A. Ananda
This network shows the impact of papers produced by Malwane M. A. Ananda. 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 Malwane M. A. Ananda. The network helps show where Malwane M. A. Ananda may publish in the future.
Co-authorship network of co-authors of Malwane M. A. Ananda
This figure shows the co-authorship network connecting the top 25 collaborators of Malwane M. A. Ananda. A scholar is included among the top collaborators of Malwane M. A. Ananda 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 Malwane M. A. Ananda. Malwane M. A. Ananda is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 1 | |
| 4 | 0 | |
| 5 | 1 | |
| 6 | 9 | |
| 7 | 10 | |
| 8 | 0 | |
| 9 | 8 | |
| 10 | 13 | |
| 11 | 19 | |
| 12 | 1 | |
| 13 | 13 | |
| 14 | TWO-WAY ANOVA WITH UNEQUAL CELL FREQUENCIES AND UNEQUAL VARIANCES | 40 |
| 15 | 8 | |
| 16 | 9 | |
| 17 | 1 | |
| 18 | 3 | |
| 19 | 1 | |
| 20 | 25 |
About Malwane M. A. Ananda
Malwane M. A. Ananda is a scholar working on Statistics and Probability, Statistics, Probability and Uncertainty and Safety, Risk, Reliability and Quality, having authored 37 papers that have together received 580 indexed citations. Recurring topics across this work include Statistical Distribution Estimation and Applications (20 papers), Statistical Methods and Bayesian Inference (13 papers) and Probabilistic and Robust Engineering Design (8 papers). The work is most often cited by research in Statistics and Probability (442 citations), Statistics, Probability and Uncertainty (194 citations) and Management Science and Operations Research (137 citations). Malwane M. A. Ananda has collaborated with scholars based in United States, Türkiye and Russia. Frequent co-authors include Kahadawala Cooray, Samaradasa Weerahandi, Andrew L. Rukhin, Ashok K. Singh, Jinadasa Gamage, Bowen Liu and Osman Dağ. Their work appears in journals such as Journal of Econometrics, Analytica Chimica Acta and Applied Mathematics and Computation.
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.