Hesam Dashti
About
In The Last Decade
Hesam Dashti
26 papers receiving 476 citations
Peers
Comparison fields: 5 of 100
- Molecular Biology 276
- Spectroscopy 71
- Physiology 50
- Materials Chemistry 47
- Genetics 45
Countries citing papers authored by Hesam Dashti
This map shows the geographic impact of Hesam Dashti'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 Hesam Dashti with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hesam Dashti more than expected).
Fields of papers citing papers by Hesam Dashti
This network shows the impact of papers produced by Hesam Dashti. 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 Hesam Dashti. The network helps show where Hesam Dashti may publish in the future.
Co-authorship network of co-authors of Hesam Dashti
This figure shows the co-authorship network connecting the top 25 collaborators of Hesam Dashti. A scholar is included among the top collaborators of Hesam Dashti 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 Hesam Dashti. Hesam Dashti is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 75 | |
| 3 | 1 | |
| 4 | 12 | |
| 5 | 7 | |
| 6 | 1 | |
| 7 | 6 | |
| 8 | 48 | |
| 9 | 16 | |
| 10 | 22 | |
| 11 | 25 | |
| 12 | 35 | |
| 13 | 25 | |
| 14 | 43 | |
| 15 | 7 | |
| 16 | 2 | |
| 17 | 29 | |
| 18 | 52 | |
| 19 | Finding Exact and Solo LTR-Retrotransposons in Biological Sequences Using SVM | 1 |
| 20 | Mining Biological Repetitive Sequences Using Support Vector Machines and Fuzzy SVM | 7 |
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.