Aria Mansouri Tehrani

1.7k total citations · 1 hit paper
27 papers, 1.2k citations indexed

About

Aria Mansouri Tehrani is a scholar working on Materials Chemistry, Mechanical Engineering and Mechanics of Materials. According to data from OpenAlex, Aria Mansouri Tehrani has authored 27 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Materials Chemistry, 10 papers in Mechanical Engineering and 7 papers in Mechanics of Materials. Recurrent topics in Aria Mansouri Tehrani's work include Boron and Carbon Nanomaterials Research (11 papers), Advanced materials and composites (8 papers) and Machine Learning in Materials Science (7 papers). Aria Mansouri Tehrani is often cited by papers focused on Boron and Carbon Nanomaterials Research (11 papers), Advanced materials and composites (8 papers) and Machine Learning in Materials Science (7 papers). Aria Mansouri Tehrani collaborates with scholars based in United States, Switzerland and Iran. Aria Mansouri Tehrani's 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 and has published in prestigious journals such as Journal of the American Chemical Society, Advanced Materials and Nature Communications.

In The Last Decade

Aria Mansouri Tehrani

26 papers receiving 1.2k citations

Hit Papers

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What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Identifying an efficient, thermally robust inorganic phosphor host via machine learning

2018 283 citations Ya Zhuo, Aria Mansouri Tehrani et al. Nature Communications profile →

Peers

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 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

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20 of 20 papers shown

#	Work	Indexed citations
1	Dynamic Jahn-Teller effect in the strong spin-orbit coupling regime 2024 ·Nature Communications ·Ivica Živković, (unknown), (unknown), Ravi Yadav, F. Pisani, Aria Mansouri Tehrani, (unknown), (unknown), Daigorou Hirai, Wei Yuan, Wenliang Zhang, (unknown), Tianlun Yu, Kenji Ishii, A. Demuer, Oleg V. Yazyev, Thorsten Schmitt, H. M. Rønnow	17
2	Depth-Resolved Profile of the Interfacial Ferromagnetism in CaMnO₃/CaRuO₃ Superlattices 2024 ·Nano Letters ·(unknown), Aria Mansouri Tehrani, (unknown), M. Kareev, (unknown), (unknown), Liang Wu, Vladimir N. Strocov, Christoph Klewe, Padraic Shafer, J. Chakhalian, Nicola A. Spaldin, A. X. Gray	1
3	Probing the Mott insulating behavior of Ba2MgReO6 with DFT+DMFT 2024 ·Physical Review Research ·(unknown), Aria Mansouri Tehrani, Claude Ederer	5
4	Experimental and theoretical thermodynamic studies in Ba₂MgReO₆—the ground state in the context of Jahn-Teller effect 2023 ·Journal of Physics Condensed Matter ·(unknown), Aria Mansouri Tehrani, Ivica Živković, Nicola A. Spaldin, H. M. Rønnow	6
5	Accelerated search for new ferroelectric materials 2023 ·Physical Review Research ·(unknown), (unknown), (unknown), (unknown), Nicola A. Spaldin, Aria Mansouri Tehrani	9
6	Charge multipole correlations and order in Cs2TaCl6 2023 ·Physical Review Research ·Aria Mansouri Tehrani, (unknown), (unknown), (unknown), Ivica Živković, H. M. Rønnow, Nicola A. Spaldin	14
7	Exploring energy landscapes of charge multipoles using constrained density functional theory 2023 ·Physical Review Research ·(unknown), (unknown), Aria Mansouri Tehrani, Nicola A. Spaldin, Claude Ederer	5
8	Trends in Bulk Compressibility of Mo _{2– x} W _x BC Solid Solutions 2022 ·Chemistry of Materials ·Marcus Parry, (unknown), Samantha Couper, Aria Mansouri Tehrani, Anton O. Oliynyk, Jakoah Brgoch, Lowell Miyagi, Taylor D. Sparks	0
9	Targeting Productive Composition Space through Machine-Learning-Directed Inorganic Synthesis 2020 ·Matter ·(unknown), Ziyan Zhang, Gayatri Viswanathan, (unknown), Aria Mansouri Tehrani, Jakoah Brgoch	18
10	Finding the Next Superhard Material through Ensemble Learning 2020 ·Advanced Materials ·Ziyan Zhang, Aria Mansouri Tehrani, Anton O. Oliynyk, (unknown), Jakoah Brgoch	49
11	Tailoring the Mechanical Properties of Earth-Abundant Transition Metal Borides via Bonding Optimization 2020 ·The Journal of Physical Chemistry C ·Ziyan Zhang, Aria Mansouri Tehrani, Jakoah Brgoch	5
12	Machine Learning for Structural Materials 2020 ·Annual Review of Materials Research ·Taylor D. Sparks, Steven K. Kauwe, Marcus Parry, Aria Mansouri Tehrani, Jakoah Brgoch	43
13	Lattice strain and texture analysis of superhard Mo_0.9W_1.1BC and ReWC_0.8via diamond anvil cell deformation 2019 ·Journal of Materials Chemistry A ·Marcus Parry, Samantha Couper, Aria Mansouri Tehrani, Anton O. Oliynyk, Jakoah Brgoch, Lowell Miyagi, Taylor D. Sparks	2
14	Predicting the Band Gaps of Inorganic Solids by Machine Learning 2018 ·The Journal of Physical Chemistry Letters ·Ya Zhuo, Aria Mansouri Tehrani, Jakoah Brgoch	327
15	Identifying an efficient, thermally robust inorganic phosphor host via machine learning breakdown → 2018 ·Nature Communications ·Ya Zhuo, Aria Mansouri Tehrani, Anton O. Oliynyk, Anna Duke, Jakoah Brgoch	283
16	Hard and superhard materials: A computational perspective 2018 ·Journal of Solid State Chemistry ·Aria Mansouri Tehrani, Jakoah Brgoch	46
17	Intrinsic Defects Drive Persistent Luminescence in Monoclinic SrAl₂O₄:Eu²⁺ 2018 ·The Journal of Physical Chemistry C ·(unknown), Aria Mansouri Tehrani, Jakoah Brgoch	51
18	Balancing Mechanical Properties and Sustainability in the Search for Superhard Materials 2017 ·Integrating materials and manufacturing innovation ·Aria Mansouri Tehrani, Leila Ghadbeigi, Jakoah Brgoch, Taylor D. Sparks	21
19	Impact of Vacancies on the Mechanical Properties of Ultraincompressible, Hard Rhenium Subnitrides: Re₂N and Re₃N 2016 ·Chemistry of Materials ·Aria Mansouri Tehrani, Jakoah Brgoch	18
20	The Synthesis of Graphene Sheets Using Sodium Dodecyl Sulfate (SDS) as a Surfactant; An Electrochemical Process 2013 ·Advanced materials research ·Mohammad Hassan Moradi, (unknown), Aria Mansouri Tehrani	4

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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