Majid Bahramian

718 total citations
26 papers, 524 citations indexed

About

Majid Bahramian is a scholar working on Mechanics of Materials, Food Science and Civil and Structural Engineering. According to data from OpenAlex, Majid Bahramian has authored 26 papers receiving a total of 524 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Mechanics of Materials, 7 papers in Food Science and 6 papers in Civil and Structural Engineering. Recurrent topics in Majid Bahramian's work include Food Waste Reduction and Sustainability (6 papers), Water Systems and Optimization (4 papers) and Anaerobic Digestion and Biogas Production (4 papers). Majid Bahramian is often cited by papers focused on Food Waste Reduction and Sustainability (6 papers), Water Systems and Optimization (4 papers) and Anaerobic Digestion and Biogas Production (4 papers). Majid Bahramian collaborates with scholars based in Türkiye, Ireland and Mauritania. Majid Bahramian's co-authors include Kaan Yetilmezsoy, Recep Kaan Dereli, Eoin Casey, Wanqing Zhao, Boudy Bilal, Mamoudou Ndongo, Issakha Youm, Paul Hynds, Anushree Priyadarshini and Parveen Sihag and has published in prestigious journals such as The Science of The Total Environment, Journal of Cleaner Production and Expert Systems with Applications.

In The Last Decade

Majid Bahramian

26 papers receiving 503 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Majid Bahramian Türkiye 11 180 139 96 91 86 26 524
Akram Avami Iran 17 87 0.5× 181 1.3× 71 0.7× 117 1.3× 102 1.2× 42 663
Mohsen Karrabi Iran 14 229 1.3× 103 0.7× 131 1.4× 91 1.0× 79 0.9× 44 571
Cristina Martín Spain 12 224 1.2× 129 0.9× 157 1.6× 206 2.3× 167 1.9× 28 701
Monique Polit France 14 239 1.3× 106 0.8× 81 0.8× 148 1.6× 111 1.3× 26 633
Karla Esquerre Brazil 17 91 0.5× 131 0.9× 138 1.4× 281 3.1× 129 1.5× 50 817
Sonia Castellucci Italy 15 244 1.4× 85 0.6× 72 0.8× 33 0.4× 44 0.5× 36 652
Tahsin Yüksel Türkiye 4 231 1.3× 119 0.9× 22 0.2× 38 0.4× 67 0.8× 8 847
Farzad Piadeh United Kingdom 14 92 0.5× 143 1.0× 100 1.0× 142 1.6× 22 0.3× 26 583
Luis Caicedo China 7 156 0.9× 64 0.5× 116 1.2× 77 0.8× 78 0.9× 9 449
Miguel C. Mussati Argentina 17 95 0.5× 123 0.9× 64 0.7× 174 1.9× 117 1.4× 58 1.0k

Countries citing papers authored by Majid Bahramian

Since Specialization
Citations

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

Fields of papers citing papers by Majid Bahramian

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Majid Bahramian

This figure shows the co-authorship network connecting the top 25 collaborators of Majid Bahramian. A scholar is included among the top collaborators of Majid Bahramian 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 Majid Bahramian. Majid Bahramian 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.
Bahramian, Majid, et al.. (2025). Quantifying metabolic food waste and associated global warming potential attributable to overweight and obese adults in a temperate high-income region. Food Research International. 209. 116309–116309. 1 indexed citations
2.
Bahramian, Majid, et al.. (2025). An Environmental and Economic Assessment of Household Food Waste Management Scenarios in Ireland. Recycling. 10(3). 94–94. 1 indexed citations
3.
Bahramian, Majid, Paul Hynds, & Anushree Priyadarshini. (2024). Dynamic life cycle assessment of commercial and household food waste: A critical global review of emerging techniques. The Science of The Total Environment. 921. 170853–170853. 10 indexed citations
4.
Bahramian, Majid, et al.. (2024). Geospatial analysis of food waste generation at the consumer-level in high-income regions, 2000–2023 – A scoping review. Environmental Research. 263(Pt 3). 120247–120247. 2 indexed citations
5.
Bahramian, Majid, et al.. (2024). Identification and profiling of socioeconomic and health characteristics associated with consumer food purchasing behaviours using machine learning. Food Quality and Preference. 126. 105417–105417. 4 indexed citations
6.
Dereli, Recep Kaan, et al.. (2024). Forecasting wastewater flows and pollutant loads: A comparison of data-driven models within the urban water system framework. Journal of environmental chemical engineering. 12(5). 113478–113478. 4 indexed citations
7.
Yetilmezsoy, Kaan, et al.. (2023). Modeling of the mass flow rate of natural gas flow stream using genetic/decision tree/kernel-based data-intelligent approaches. Flow Measurement and Instrumentation. 90. 102331–102331. 5 indexed citations
8.
Bahramian, Majid, et al.. (2022). Data to intelligence: The role of data-driven models in wastewater treatment. Expert Systems with Applications. 217. 119453–119453. 96 indexed citations
9.
Yetilmezsoy, Kaan, et al.. (2022). A comprehensive techno-economic analysis of income-generating sources on the conversion of real sheep slaughterhouse waste stream into valorized by-products. Journal of Environmental Management. 306. 114464–114464. 11 indexed citations
10.
Özdemir, Saim, et al.. (2021). Mathematical Modeling of Thin-Layer Solar Drying of Poultry Abattoir Sludge. International Journal of Environmental Research. 15(1). 177–190. 5 indexed citations
11.
Yetilmezsoy, Kaan, et al.. (2021). Approximation of the discharge coefficient of differential pressure flowmeters using different soft computing strategies. Flow Measurement and Instrumentation. 79. 101913–101913. 22 indexed citations
12.
Yetilmezsoy, Kaan, et al.. (2021). Development of a New Practical Formula for Pipe-Sizing Problems within the Framework of a Hybrid Computational Strategy. Journal of Irrigation and Drainage Engineering. 147(5). 10 indexed citations
14.
15.
Ndongo, Mamoudou, Kaan Yetilmezsoy, Boudy Bilal, et al.. (2021). A cartographic approach coupled with optimized sizing and management of an on-grid hybrid PV-solar-battery-group based on the state of the sky: An african case study. Solar Energy. 227. 101–115. 9 indexed citations
16.
17.
Abdul‐Wahab, Sabah A., et al.. (2020). Modelling the clogging of gas turbine filter houses in heavy-duty power generation systems. Mathematical and Computer Modelling of Dynamical Systems. 26(2). 119–143. 8 indexed citations
18.
Yetilmezsoy, Kaan, et al.. (2020). Removal of Anthraquinone Dye via Struvite: Equilibria, Kinetics, Thermodynamics, Fuzzy Logic Modeling. International Journal of Environmental Research. 14(5). 541–566. 21 indexed citations
19.
Ndongo, Mamoudou, et al.. (2020). Mapping of biogas production potential from livestock manures and slaughterhouse waste: A case study for African countries. Journal of Cleaner Production. 256. 120499–120499. 62 indexed citations
20.
Bahramian, Majid & Kaan Yetilmezsoy. (2020). Life cycle assessment of the building industry: An overview of two decades of research (1995–2018). Energy and Buildings. 219. 109917–109917. 172 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026