Aria Mansouri Tehrani

1.7k citations
27 papers · 1.2k indexed · 1 hit paper · h-index 14

Aria Mansouri Tehrani

26 papers receiving 1.2k citations

Hit Papers

Identifying an efficient, thermally robust inorganic phos...283201820262020202350100150200250

Peers

Aria Mansouri Tehrani
Comparison fields: 5 of 70
  • Materials Chemistry 1.1k
  • Computational Theory and Mathematics 142
  • Catalysis 61
  • Radiation 65
  • Inorganic Chemistry 95
Replace Kazuki Shitara with:
Kazuki Shitara Japan
Christopher K. H. Borg United States
Erin Antono United States
Yasunobu Ando Japan
Michal Jahnátek Austria
Iek‐Heng Chu United States
Jake Graser United States
A. C. M. Padilha Brazil
Peichen Zhong United States
KyuJung Jun United States
Aria Mansouri Tehrani relative to Kazuki Shitara Japan Kazuki Shitara's profile →
Citations per field
00.5×5.9×
Kazuki Shitara · 1×
Citations per year

Countries citing papers authored by Aria Mansouri Tehrani

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

The 25 scholars most cited alongside Aria Mansouri Tehrani, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Aria Mansouri Tehrani Line = papers co-authored together Aria Mansouri Tehrani links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 202417
2 20241
3 20245
4 20236
5 20239
6 202314
7 20235
8 20220
9 202018
10 202049
11 20205
12 202043
13 20192
14 2018327
15
Identifying an efficient, thermally robust inorganic phosphor host via machine learningbreakdown →
2018283
16 201846
17 201851
18 201721
19 201618
20 20134

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), Machine Learning in Materials Science (7 papers), Metal and Thin Film Mechanics (7 papers), Advanced Condensed Matter Physics (6 papers), Magnetic and transport properties of perovskites and related materials (5 papers), MXene and MAX Phase Materials (4 papers) and X-ray Diffraction in Crystallography (4 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.

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