Hamidreza Chitsaz
- Molecular Biology
- Computer Vision and Pattern Recognition top 5%
- Ecology top 10%
- Aerospace Engineering top 10%
- Control and Systems Engineering top 10%
- Co-authors
- Steven M. LaVallePavel A. PevznerDevin BalkcomMallory EmbreeKarsten ZenglerHarish NagarajanMatthew T. MasonAli Sharifi‐Zarchi
- Topics
- Genomics and Phylogenetic Studies (11 papers)Robotic Path Planning Algorithms (6 papers)RNA and protein synthesis mechanisms (6 papers)
- Partner nations
- United StatesIranGermany
In The Last Decade
Hamidreza Chitsaz
31 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 128
- Molecular Biology 563
- Computer Vision and Pattern Recognition 247
- Ecology 220
- Aerospace Engineering 170
- Control and Systems Engineering 139
Countries citing papers authored by Hamidreza Chitsaz
This map shows the geographic impact of Hamidreza Chitsaz'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 Hamidreza Chitsaz with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hamidreza Chitsaz more than expected).
Fields of papers citing papers by Hamidreza Chitsaz
This network shows the impact of papers produced by Hamidreza Chitsaz. 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 Hamidreza Chitsaz. The network helps show where Hamidreza Chitsaz may publish in the future.
Co-authorship network of co-authors of Hamidreza Chitsaz
This figure shows the co-authorship network connecting the top 25 collaborators of Hamidreza Chitsaz. A scholar is included among the top collaborators of Hamidreza Chitsaz 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 Hamidreza Chitsaz. Hamidreza Chitsaz is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 10 | |
| 2 | 2 | |
| 3 | 3 | |
| 4 | 2 | |
| 5 | 1 | |
| 6 | 26 | |
| 7 | 38 | |
| 8 | Principal Variety Analysis | 3 |
| 9 | 73 | |
| 10 | 2 | |
| 11 | 15 | |
| 12 | 35 | |
| 13 | 3 | |
| 14 | 9 | |
| 15 | 2 | |
| 16 | 1 | |
| 17 | 97 | |
| 18 | 165 | |
| 19 | 43 | |
| 20 | 179 |
About Hamidreza Chitsaz
Hamidreza Chitsaz is a scholar working on Computer Graphics and Computer-Aided Design, Computer Vision and Pattern Recognition and Molecular Biology, having authored 32 papers that have together received 1.1k indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (11 papers), Robotic Path Planning Algorithms (6 papers) and RNA and protein synthesis mechanisms (6 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (247 citations), Ecology (220 citations) and Molecular Biology (563 citations). Hamidreza Chitsaz has collaborated with scholars based in United States, Iran and Germany. Frequent co-authors include Steven M. LaValle, Pavel A. Pevzner, Devin Balkcom, Mallory Embree, Karsten Zengler, Harish Nagarajan, Matthew T. Mason, Ali Sharifi‐Zarchi, Mark Novotny and Joyclyn Yee-Greenbaum. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nature Biotechnology and Bioinformatics.
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.