Mojtaba Farmanbar
Impact in
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- 2D Materials and Applications
- MXene and MAX Phase Materials
- Graphene research and applications
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- Perovskite Materials and Applications
- Molecular Junctions and Nanostructures
- Ferroelectric and Negative Capacitance Devices
- Chalcogenide Semiconductor Thin Films
Papers in
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- 2D Materials and Applications 4
- Graphene research and applications 4
- MXene and MAX Phase Materials 2
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- Model Reduction and Neural Networks 1
- Co-authors
- Geert Brocks (4 shared papers)Arie van Deursen (1 shared paper)Cynthia C. S. Liem (1 shared paper)Boyang Zhao (1 shared paper)
- Journals
- Physical review. B. (3 papers)Physical Review B (1 paper)Proceedings of the AAAI Conference on Artificial Intelligence (1 paper)
- Partner nations
- Netherlands
In The Last Decade
Mojtaba Farmanbar
5 papers receiving 377 citations
Peers
Comparison fields: 5 of 21
- Materials Chemistry 346
- Electrical and Electronic Engineering 155
- Atomic and Molecular Physics, and Optics 52
- Renewable Energy, Sustainability and the Environment 20
- Electronic, Optical and Magnetic Materials 15
Countries citing papers authored by Mojtaba Farmanbar
This map shows the geographic impact of Mojtaba Farmanbar'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 Farmanbar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mojtaba Farmanbar more than expected).
Fields of papers citing papers by Mojtaba Farmanbar
This network shows the impact of papers produced by Mojtaba Farmanbar. 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 Farmanbar. The network helps show where Mojtaba Farmanbar may publish in the future.
Co-authors
The 4 scholars most cited alongside Mojtaba Farmanbar, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 190 | |
| 2 | 2016 | 164 | |
| 3 | 2016 | 12 | |
| 4 | 2020 | 10 | |
| 5 | 2024 | 2 | |
| 6 | 2020 | 0 |
About Mojtaba Farmanbar
Mojtaba Farmanbar is a scholar working on Materials Chemistry, Statistical and Nonlinear Physics, Artificial Intelligence, Electrical and Electronic Engineering and Infectious Diseases, having authored 6 papers that have together received 378 indexed citations. Recurring topics across this work include 2D Materials and Applications (4 papers), Graphene research and applications (4 papers), MXene and MAX Phase Materials (2 papers), Molecular Junctions and Nanostructures (1 paper), Sentiment Analysis and Opinion Mining (1 paper), Model Reduction and Neural Networks (1 paper), Advanced Text Analysis Techniques (1 paper) and Topic Modeling (1 paper). The work is most often cited by research in Materials Chemistry (346 citations), Electrical and Electronic Engineering (155 citations), Atomic and Molecular Physics, and Optics (52 citations), Renewable Energy, Sustainability and the Environment (20 citations) and Electronic, Optical and Magnetic Materials (15 citations). Mojtaba Farmanbar has collaborated with scholars based in Netherlands. Frequent co-authors include Geert Brocks, Arie van Deursen, Cynthia C. S. Liem and Boyang Zhao. Their work appears in journals such as Physical review. B., Physical Review B and Proceedings of the AAAI Conference on Artificial Intelligence.
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.