Bamdad Hosseini
About
In The Last Decade
Bamdad Hosseini
19 papers receiving 211 citations
Peers
Comparison fields: 5 of 58
- Statistical and Nonlinear Physics 73
- Artificial Intelligence 68
- Computational Mechanics 45
- Statistics, Probability and Uncertainty 35
- Mechanics of Materials 28
Countries citing papers authored by Bamdad Hosseini
This map shows the geographic impact of Bamdad Hosseini'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 Bamdad Hosseini with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bamdad Hosseini more than expected).
Fields of papers citing papers by Bamdad Hosseini
This network shows the impact of papers produced by Bamdad Hosseini. 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 Bamdad Hosseini. The network helps show where Bamdad Hosseini may publish in the future.
Co-authorship network of co-authors of Bamdad Hosseini
This figure shows the co-authorship network connecting the top 25 collaborators of Bamdad Hosseini. A scholar is included among the top collaborators of Bamdad Hosseini 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 Bamdad Hosseini. Bamdad Hosseini 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 | 0 | |
| 4 | 3 | |
| 5 | 2 | |
| 6 | 0 | |
| 7 | 6 | |
| 8 | 14 | |
| 9 | 2 | |
| 10 | 3 | |
| 11 | 1 | |
| 12 | Geometric structure of graph Laplacian embeddings | 0 |
| 13 | 87 | |
| 14 | 3 | |
| 15 | A Metropolis-Hastings algorithm for posterior measures with self-decomposable priors | 1 |
| 16 | 11 | |
| 17 | Well-posed Bayesian Inverse Problems: beyond Gaussian priors | 1 |
| 18 | 24 | |
| 19 | 26 | |
| 20 | 16 |
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.