Rakib Hassan
About
In The Last Decade
Rakib Hassan
21 papers receiving 403 citations
Peers
Comparison fields: 5 of 49
- Geophysics 336
- Geology 71
- Atmospheric Science 58
- Earth-Surface Processes 52
- Artificial Intelligence 40
Countries citing papers authored by Rakib Hassan
This map shows the geographic impact of Rakib Hassan'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 Rakib Hassan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Rakib Hassan more than expected).
Fields of papers citing papers by Rakib Hassan
This network shows the impact of papers produced by Rakib Hassan. 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 Rakib Hassan. The network helps show where Rakib Hassan may publish in the future.
Co-authorship network of co-authors of Rakib Hassan
This figure shows the co-authorship network connecting the top 25 collaborators of Rakib Hassan. A scholar is included among the top collaborators of Rakib Hassan 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 Rakib Hassan. Rakib Hassan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 1 | |
| 3 | 64 | |
| 4 | MTPy: A Python toolbox for magnetotelluric data | 1 |
| 5 | 18 | |
| 6 | 0 | |
| 7 | 3 | |
| 8 | 2 | |
| 9 | 70 | |
| 10 | 24 | |
| 11 | 24 | |
| 12 | 7 | |
| 13 | 74 | |
| 14 | 11 | |
| 15 | 68 | |
| 16 | 1 | |
| 17 | 1 | |
| 18 | 1 | |
| 19 | 6 | |
| 20 | 17 |
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.