Mohammad Bahrami
Impact in
- Management Information Systems top 10%
- Quality and Supply Management
- Big Data and Business Intelligence
Papers in
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- Complex Network Analysis Techniques 2
- Opinion Dynamics and Social Influence 2
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- Complex Systems and Time Series Analysis 2
- Co-authors
- Sandro Donadi (1 shared paper)Angelo Bassi (1 shared paper)André Großardt (1 shared paper)Sajjad Shokouhyar (1 shared paper)Antonio Palestrini (1 shared paper)Mauro Gallegati (1 shared paper)Gholamreza Jafari (1 shared paper)Marcel Ausloos (1 shared paper)
- Journals
- Physica A Statistical Mechanics and its Applications (1 paper)New Journal of Physics (1 paper)PLoS ONE (1 paper)DOAJ (DOAJ: Directory of Open Access Journals) (1 paper)
In The Last Decade
Mohammad Bahrami
4 papers receiving 213 citations
Peers
Comparison fields: 5 of 45
- Management Information Systems 58
- Statistical and Nonlinear Physics 59
- Strategy and Management 52
- Atomic and Molecular Physics, and Optics 87
- Astronomy and Astrophysics 36
Countries citing papers authored by Mohammad Bahrami
This map shows the geographic impact of Mohammad Bahrami'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 Mohammad Bahrami with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mohammad Bahrami more than expected).
Fields of papers citing papers by Mohammad Bahrami
This network shows the impact of papers produced by Mohammad Bahrami. 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 Mohammad Bahrami. The network helps show where Mohammad Bahrami may publish in the future.
Co-authors
The 8 scholars most cited alongside Mohammad Bahrami, 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 | 2014 | 110 | |
| 2 | 2022 | 74 | |
| 3 | 2016 | 17 | |
| 4 | 2019 | 17 |
About Mohammad Bahrami
Mohammad Bahrami is a scholar working on Statistical and Nonlinear Physics, Economics and Econometrics, Strategy and Management, Management Information Systems and Atomic and Molecular Physics, and Optics, having authored 4 papers that have together received 218 indexed citations. Recurring topics across this work include Complex Network Analysis Techniques (2 papers), Opinion Dynamics and Social Influence (2 papers), Complex Systems and Time Series Analysis (2 papers), Supply Chain Resilience and Risk Management (1 paper), Mechanical and Optical Resonators (1 paper), Quantum Information and Cryptography (1 paper), Quality and Supply Management (1 paper) and Quantum Mechanics and Applications (1 paper). The work is most often cited by research in Management Information Systems (58 citations), Statistical and Nonlinear Physics (59 citations), Strategy and Management (52 citations), Atomic and Molecular Physics, and Optics (87 citations) and Astronomy and Astrophysics (36 citations). Mohammad Bahrami has collaborated with scholars based in Iran, Italy and Romania. Frequent co-authors include Sandro Donadi, Angelo Bassi, André Großardt, Sajjad Shokouhyar, Antonio Palestrini, Mauro Gallegati, Gholamreza Jafari and Marcel Ausloos. Their work appears in journals such as Physica A Statistical Mechanics and its Applications, New Journal of Physics, PLoS ONE and DOAJ (DOAJ: Directory of Open Access Journals).
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.