Mojtaba Alaei

463 total citations
30 papers, 337 citations indexed

About

Mojtaba Alaei is a scholar working on Materials Chemistry, Condensed Matter Physics and Electronic, Optical and Magnetic Materials. According to data from OpenAlex, Mojtaba Alaei has authored 30 papers receiving a total of 337 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Materials Chemistry, 13 papers in Condensed Matter Physics and 11 papers in Electronic, Optical and Magnetic Materials. Recurrent topics in Mojtaba Alaei's work include Advanced Condensed Matter Physics (9 papers), Physics of Superconductivity and Magnetism (8 papers) and Magnetic and transport properties of perovskites and related materials (6 papers). Mojtaba Alaei is often cited by papers focused on Advanced Condensed Matter Physics (9 papers), Physics of Superconductivity and Magnetism (8 papers) and Magnetic and transport properties of perovskites and related materials (6 papers). Mojtaba Alaei collaborates with scholars based in Iran, Russia and Japan. Mojtaba Alaei's co-authors include Predrag Lazić, Stefan Blügel, R. Brako, Vasile Caciuc, Nicolae Atodiresei, Hadi Akbarzadeh, Farhad Shahbazi, S. Javad Hashemifar, Stefano de Gironcoli and I. Abdolhosseini Sarsari and has published in prestigious journals such as The Journal of Chemical Physics, Applied Physics Letters and Physical Review B.

In The Last Decade

Mojtaba Alaei

29 papers receiving 335 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Mojtaba Alaei Iran 11 230 128 77 75 65 30 337
Niraj K. Nepal United States 9 182 0.8× 157 1.2× 51 0.7× 37 0.5× 74 1.1× 17 304
J.–H. Kang Germany 11 293 1.3× 167 1.3× 176 2.3× 62 0.8× 90 1.4× 13 426
Hyeondeok Shin United States 12 260 1.1× 211 1.6× 90 1.2× 53 0.7× 101 1.6× 36 431
Zhicheng Jiang China 10 268 1.2× 203 1.6× 122 1.6× 156 2.1× 35 0.5× 40 437
Raghani Pushpa United States 12 256 1.1× 100 0.8× 75 1.0× 16 0.2× 89 1.4× 21 330
Samad Hajinazar United States 9 300 1.3× 56 0.4× 38 0.5× 63 0.8× 68 1.0× 14 356
Kai‐Ming Ho United States 11 243 1.1× 83 0.6× 60 0.8× 64 0.9× 93 1.4× 32 331
David S. D. Gunn United Kingdom 10 189 0.8× 59 0.5× 19 0.2× 47 0.6× 131 2.0× 16 300
Shreemoyee Ganguly India 8 179 0.8× 173 1.4× 138 1.8× 89 1.2× 41 0.6× 24 328
S. Behler Switzerland 8 130 0.6× 202 1.6× 25 0.3× 79 1.1× 46 0.7× 13 307

Countries citing papers authored by Mojtaba Alaei

Since Specialization
Citations

This map shows the geographic impact of Mojtaba Alaei'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 Mojtaba Alaei with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mojtaba Alaei more than expected).

Fields of papers citing papers by Mojtaba Alaei

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mojtaba Alaei. 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 Mojtaba Alaei. The network helps show where Mojtaba Alaei may publish in the future.

Co-authorship network of co-authors of Mojtaba Alaei

This figure shows the co-authorship network connecting the top 25 collaborators of Mojtaba Alaei. A scholar is included among the top collaborators of Mojtaba Alaei 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 Mojtaba Alaei. Mojtaba Alaei is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Alaei, Mojtaba, et al.. (2025). Origin of A-type antiferromagnetism and chiral split magnons in altermagnetic α-MnTe. Physical review. B.. 111(10). 4 indexed citations
2.
Alaei, Mojtaba, et al.. (2025). Evaluating SCAN and r2SCAN meta-GGA functionals for predicting transition temperatures in antiferromagnetic materials. Physical review. B.. 111(14). 1 indexed citations
3.
Shakeripour, H., et al.. (2024). Predicting superconducting transition temperature through advanced machine learning and innovative feature engineering. Scientific Reports. 14(1). 3965–3965. 8 indexed citations
4.
Alaei, Mojtaba, et al.. (2024). Discovery of novel silicon allotropes with optimized band gaps to enhance solar cell efficiency through evolutionary algorithms and machine learning. Computational Materials Science. 246. 113392–113392. 2 indexed citations
5.
Shakeripour, H., et al.. (2023). Driven charge density modulation by spin density wave and their coexistence interplay in SmFeAsO: A first-principles study. Physica B Condensed Matter. 674. 415603–415603. 2 indexed citations
6.
Alaei, Mojtaba, et al.. (2023). A deep investigation of NiO and MnO through the first principle calculations and Monte Carlo simulations. Electronic Structure. 5(2). 25001–25001. 7 indexed citations
7.
Alaei, Mojtaba, et al.. (2023). Benchmarking density functional theory on the prediction of antiferromagnetic transition temperatures. Physical review. B.. 108(14). 4 indexed citations
8.
Alaei, Mojtaba, et al.. (2022). Machine learning for compositional disorder: A comparison between different descriptors and machine learning frameworks. Computational Materials Science. 207. 111284–111284. 11 indexed citations
9.
Hashemifar, S. Javad, et al.. (2022). Novel first-principles insights into graphene fluorination. The Journal of Chemical Physics. 157(5). 54706–54706. 3 indexed citations
10.
Mosaferi, Mohammad, I. Abdolhosseini Sarsari, & Mojtaba Alaei. (2021). Band structure engineering in gallium sulfide nanostructures. Applied Physics A. 127(2). 8 indexed citations
11.
Ahmadvand, Hossein, et al.. (2020). Ab-initio search for efficient red thermally activated delayed fluorescence molecules for organic light emitting diodes. Spectrochimica Acta Part A Molecular and Biomolecular Spectroscopy. 246. 118952–118952. 6 indexed citations
12.
Alaei, Mojtaba, et al.. (2019). Crossover between tricritical and Lifshitz points in pyrochlore FeF3. Physical review. B.. 100(5). 2 indexed citations
13.
Alaei, Mojtaba, et al.. (2018). New candidates for the global minimum of medium-sized silicon clusters: A hybrid DFTB/DFT genetic algorithm applied to Sin, n = 8-80. The Journal of Chemical Physics. 149(7). 74313–74313. 11 indexed citations
14.
Alaei, Mojtaba, et al.. (2017). Origin of magnetic frustration in Bi3Mn4O12(NO3). Physical review. B.. 96(14). 11 indexed citations
15.
16.
Hashemifar, S. Javad, et al.. (2016). Stable isomers and electronic, vibrational, and optical properties of WS2 nano-clusters: A first-principles study. The Journal of Chemical Physics. 145(21). 214303–214303. 5 indexed citations
17.
Salari, Vahid, et al.. (2015). On the classical vibrational coherence of carbonyl groups in the selectivity filter backbone of the KcsA ion channel. Journal of Integrative Neuroscience. 14(2). 195–206. 7 indexed citations
18.
Alaei, Mojtaba, et al.. (2015). First-principles insights into f magnetism: A case study on some magnetic pyrochlores. Journal of Magnetism and Magnetic Materials. 393. 127–131. 12 indexed citations
19.
Lazić, Predrag, Nicolae Atodiresei, Mojtaba Alaei, et al.. (2009). JuNoLo – Jülich nonlocal code for parallel post-processing evaluation of vdW-DF correlation energy. Computer Physics Communications. 181(2). 371–379. 35 indexed citations
20.
Alaei, Mojtaba, S. A. Jafari, & Hadi Akbarzadeh. (2008). Superconductivity in heavily vacant diamond. Journal of Physics and Chemistry of Solids. 69(12). 3283–3285. 3 indexed citations

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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