M. L. Tiku
- Statistics and Probability top 0.1%
- Rheumatology top 1%
- Statistics, Probability and Uncertainty top 0.5%
- Molecular Biology
- Management Science and Operations Research top 2%
- Co-authors
- Katherine TikuJohn L. SkoseyRahul ShahGreg AllisonDavid VaughanM. Qamarul IslamGuorui BianWing‐Keung Wong
- Topics
- Advanced Statistical Methods and Models (66 papers)Statistical Distribution Estimation and Applications (56 papers)Statistical Methods and Bayesian Inference (26 papers)
- Partner nations
- CanadaUnited StatesTürkiye
In The Last Decade
M. L. Tiku
139 papers receiving 3.8k citations
Peers
Comparison fields: 5 of 194
- Statistics and Probability 1.9k
- Rheumatology 715
- Statistics, Probability and Uncertainty 562
- Molecular Biology 408
- Management Science and Operations Research 354
Countries citing papers authored by M. L. Tiku
This map shows the geographic impact of M. L. Tiku'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 M. L. Tiku with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites M. L. Tiku more than expected).
Fields of papers citing papers by M. L. Tiku
This network shows the impact of papers produced by M. L. Tiku. 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 M. L. Tiku. The network helps show where M. L. Tiku may publish in the future.
Co-authorship network of co-authors of M. L. Tiku
This figure shows the co-authorship network connecting the top 25 collaborators of M. L. Tiku. A scholar is included among the top collaborators of M. L. Tiku 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 M. L. Tiku. M. L. Tiku is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 57 | |
| 2 | 14 | |
| 3 | 31 | |
| 4 | 42 | |
| 5 | 30 | |
| 6 | 31 | |
| 7 | 24 | |
| 8 | 29 | |
| 9 | 7 | |
| 10 | 36 | |
| 11 | 1 | |
| 12 | 3 | |
| 13 | 10 | |
| 14 | 11 | |
| 15 | 10 | |
| 16 | 27 | |
| 17 | 4 | |
| 18 | 12 | |
| 19 | 56 | |
| 20 | Approximation to Student's t Distribution in Terms of Hermite and Laguerre Polynomials | 2 |
About M. L. Tiku
M. L. Tiku is a scholar working on Statistics and Probability, Statistics, Probability and Uncertainty and Rheumatology, having authored 142 papers that have together received 4.2k indexed citations. Recurring topics across this work include Advanced Statistical Methods and Models (66 papers), Statistical Distribution Estimation and Applications (56 papers) and Statistical Methods and Bayesian Inference (26 papers). The work is most often cited by research in Statistics and Probability (1.9k citations), Statistics, Probability and Uncertainty (562 citations) and Rheumatology (715 citations). M. L. Tiku has collaborated with scholars based in Canada, United States and Türkiye. Frequent co-authors include Katherine Tiku, John L. Skosey, Rahul Shah, Greg Allison, David Vaughan, M. Qamarul Islam, Guorui Bian, Wing‐Keung Wong, Fredika M. Robertson and Joseph P. Zawadsky. Their work appears in journals such as Nature, Journal of Biological Chemistry and Journal of the American Statistical Association.
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.