M. Qamarul Islam
- Statistics and Probability top 2%
- Economics and Econometrics top 10%
- Sociology and Political Science
- General Economics, Econometrics and Finance top 10%
- Statistics, Probability and Uncertainty top 5%
- Topics
- Advanced Statistical Methods and Models (10 papers)Monetary Policy and Economic Impact (5 papers)Statistical Distribution Estimation and Applications (5 papers)
- Cited by
- Statistics and ProbabilityStatistics, Probability and UncertaintyGeneral Economics, Econometrics and Finance
- Journals
- Economics LettersJournal of Computational and Applied MathematicsComputational Statistics & Data Analysis
- Partner nations
- TürkiyeUnited StatesCanada
In The Last Decade
M. Qamarul Islam
31 papers receiving 306 citations
Peers
Comparison fields: 5 of 62
- Statistics and Probability 155
- Economics and Econometrics 96
- Sociology and Political Science 63
- General Economics, Econometrics and Finance 57
- Statistics, Probability and Uncertainty 56
Countries citing papers authored by M. Qamarul Islam
This map shows the geographic impact of M. Qamarul Islam'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. Qamarul Islam with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites M. Qamarul Islam more than expected).
Fields of papers citing papers by M. Qamarul Islam
This network shows the impact of papers produced by M. Qamarul Islam. 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. Qamarul Islam. The network helps show where M. Qamarul Islam may publish in the future.
Co-authorship network of co-authors of M. Qamarul Islam
This figure shows the co-authorship network connecting the top 25 collaborators of M. Qamarul Islam. A scholar is included among the top collaborators of M. Qamarul Islam 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. Qamarul Islam. M. Qamarul Islam 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 | 4 | |
| 3 | 14 | |
| 4 | 6 | |
| 5 | 16 | |
| 6 | Exchange Rate And Bilateral Trade Balance Of Turkey With EU (15) Countries | 2 |
| 7 | 4 | |
| 8 | 5 | |
| 9 | 1 | |
| 10 | 5 | |
| 11 | 4 | |
| 12 | 0 | |
| 13 | 12 | |
| 14 | 51 | |
| 15 | 42 | |
| 16 | 24 | |
| 17 | 2 | |
| 18 | 13 | |
| 19 | 2 | |
| 20 | 21 |
About M. Qamarul Islam
M. Qamarul Islam is a scholar working on Statistics and Probability, General Economics, Econometrics and Finance and Statistics, Probability and Uncertainty, having authored 32 papers that have together received 340 indexed citations. Recurring topics across this work include Advanced Statistical Methods and Models (10 papers), Monetary Policy and Economic Impact (5 papers) and Statistical Distribution Estimation and Applications (5 papers). The work is most often cited by research in Statistics and Probability (155 citations), Statistics, Probability and Uncertainty (56 citations) and General Economics, Econometrics and Finance (57 citations). M. Qamarul Islam has collaborated with scholars based in Türkiye, United States and Canada. Frequent co-authors include M. L. Tiku, Ergün Doğan, James Fisher, Timothy McBride, Heather Bednarek and James A. Millar. Their work appears in journals such as Economics Letters, Journal of Computational and Applied Mathematics and Computational Statistics & Data Analysis.
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.