Aria Mansouri Tehrani
- Materials Chemistry top 5%
- Electrical and Electronic Engineering top 10%
- Mechanical Engineering
- Computational Theory and Mathematics top 5%
- Electronic, Optical and Magnetic Materials
- Co-authors
- Jakoah BrgochYa ZhuoAnton O. OliynykAnna DukeTaylor D. SparksMarcus ParrySamantha CouperLowell Miyagi
- Topics
- Boron and Carbon Nanomaterials Research (11 papers)Advanced materials and composites (8 papers)Machine Learning in Materials Science (7 papers)
- Partner nations
- United StatesSwitzerlandIran
In The Last Decade
Aria Mansouri Tehrani
26 papers receiving 1.2k citations
Hit Papers
Peers
Comparison fields: 5 of 70
- Materials Chemistry 1.1k
- Electrical and Electronic Engineering 359
- Mechanical Engineering 154
- Computational Theory and Mathematics 142
- Electronic, Optical and Magnetic Materials 118
Countries citing papers authored by Aria Mansouri Tehrani
This map shows the geographic impact of Aria Mansouri Tehrani'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 Aria Mansouri Tehrani with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Aria Mansouri Tehrani more than expected).
Fields of papers citing papers by Aria Mansouri Tehrani
This network shows the impact of papers produced by Aria Mansouri Tehrani. 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 Aria Mansouri Tehrani. The network helps show where Aria Mansouri Tehrani may publish in the future.
Co-authorship network of co-authors of Aria Mansouri Tehrani
This figure shows the co-authorship network connecting the top 25 collaborators of Aria Mansouri Tehrani. A scholar is included among the top collaborators of Aria Mansouri Tehrani 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 Aria Mansouri Tehrani. Aria Mansouri Tehrani is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 17 | |
| 2 | 1 | |
| 3 | 5 | |
| 4 | 6 | |
| 5 | 9 | |
| 6 | 14 | |
| 7 | 5 | |
| 8 | 0 | |
| 9 | 18 | |
| 10 | 49 | |
| 11 | 5 | |
| 12 | 43 | |
| 13 | 2 | |
| 14 | 327 | |
| 15 | Identifying an efficient, thermally robust inorganic phosphor host via machine learningbreakdown → | 283 |
| 16 | 46 | |
| 17 | 51 | |
| 18 | 21 | |
| 19 | 18 | |
| 20 | 4 |
About Aria Mansouri Tehrani
Aria Mansouri Tehrani is a scholar working on Condensed Matter Physics, Materials Chemistry and Electronic, Optical and Magnetic Materials, having authored 27 papers that have together received 1.2k indexed citations. Recurring topics across this work include Boron and Carbon Nanomaterials Research (11 papers), Advanced materials and composites (8 papers) and Machine Learning in Materials Science (7 papers). The work is most often cited by research in Materials Chemistry (1.1k citations), Computational Theory and Mathematics (142 citations) and Catalysis (61 citations). Aria Mansouri Tehrani has collaborated with scholars based in United States, Switzerland and Iran. Frequent co-authors include Jakoah Brgoch, Ya Zhuo, Anton O. Oliynyk, Anna Duke, Taylor D. Sparks, Marcus Parry, Samantha Couper, Lowell Miyagi, Feng Lin and Ziyan Zhang. Their work appears in journals such as Journal of the American Chemical Society, Advanced Materials and Nature Communications.
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.