Mohammad B. Ghofrani

556 total citations
39 papers, 445 citations indexed

About

Mohammad B. Ghofrani is a scholar working on Aerospace Engineering, Control and Systems Engineering and Mechanical Engineering. According to data from OpenAlex, Mohammad B. Ghofrani has authored 39 papers receiving a total of 445 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Aerospace Engineering, 12 papers in Control and Systems Engineering and 11 papers in Mechanical Engineering. Recurrent topics in Mohammad B. Ghofrani's work include Nuclear reactor physics and engineering (14 papers), Fault Detection and Control Systems (11 papers) and Nuclear Engineering Thermal-Hydraulics (9 papers). Mohammad B. Ghofrani is often cited by papers focused on Nuclear reactor physics and engineering (14 papers), Fault Detection and Control Systems (11 papers) and Nuclear Engineering Thermal-Hydraulics (9 papers). Mohammad B. Ghofrani collaborates with scholars based in Iran, Italy and Canada. Mohammad B. Ghofrani's co-authors include Mehrdad Boroushaki, Caro Lucas, Mohammad Javad Yazdanpanah, Yadollah Saboohi, Ehsan Shafiei, Iman Ramezani, Naser Vosoughi, Hiwa Khaledi, Nasser Sadati and Francesco Saverio D'Auria and has published in prestigious journals such as Energy Policy, IEEE Transactions on Nuclear Science and Nuclear Engineering and Design.

In The Last Decade

Mohammad B. Ghofrani

36 papers receiving 438 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mohammad B. Ghofrani Iran 12 215 196 67 65 62 39 445
Richard Vilim United States 12 138 0.6× 142 0.7× 41 0.6× 228 3.5× 42 0.7× 59 633
Roberto Ponciroli United States 13 229 1.1× 119 0.6× 51 0.8× 182 2.8× 21 0.3× 35 563
A. Ikonomopoulos Greece 11 103 0.5× 109 0.6× 22 0.3× 198 3.0× 113 1.8× 41 447
Anderson Alvarenga de Moura Meneses Brazil 11 117 0.5× 83 0.4× 20 0.3× 60 0.9× 112 1.8× 31 397
Cristian Rabiti United States 15 337 1.6× 55 0.3× 125 1.9× 163 2.5× 25 0.4× 61 654
A. John Arul India 12 241 1.1× 160 0.8× 147 2.2× 38 0.6× 20 0.3× 51 419
Xiaojin Huang China 20 731 3.4× 518 2.6× 45 0.7× 189 2.9× 41 0.7× 89 1.2k
Jiejuan Tong China 18 312 1.5× 186 0.9× 358 5.3× 38 0.6× 56 0.9× 81 799
Kazimierz Duzinkiewicz Poland 14 133 0.6× 365 1.9× 20 0.3× 71 1.1× 53 0.9× 59 633
Gustavo Alonso Mexico 12 230 1.1× 45 0.2× 13 0.2× 51 0.8× 12 0.2× 45 366

Countries citing papers authored by Mohammad B. Ghofrani

Since Specialization
Citations

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

Fields of papers citing papers by Mohammad B. Ghofrani

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mohammad B. Ghofrani. 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 B. Ghofrani. The network helps show where Mohammad B. Ghofrani may publish in the future.

Co-authorship network of co-authors of Mohammad B. Ghofrani

This figure shows the co-authorship network connecting the top 25 collaborators of Mohammad B. Ghofrani. A scholar is included among the top collaborators of Mohammad B. Ghofrani 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 Mohammad B. Ghofrani. Mohammad B. Ghofrani 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.
Ray, Charles D., et al.. (2024). EVALUATION OF LIFE CYCLE ASSESSMENT IN FURNITURE MANUFACTURING USING THE ANALYTICAL HIERARCHY PROCESS. International Journal of the Analytic Hierarchy Process. 16(2).
2.
Ghofrani, Mohammad B., et al.. (2023). Assessment of spray system capabilities in reduction of containment pressure and deposition of fission products during a severe accident in VVER-1000. Progress in Nuclear Energy. 158. 104601–104601. 2 indexed citations
3.
Ramezani, Iman & Mohammad B. Ghofrani. (2020). Reconstruction of neutron flux distribution by nodal synthesis method using online in-core neutron detector readings. Progress in Nuclear Energy. 131. 103574–103574. 4 indexed citations
4.
Ghofrani, Mohammad B., et al.. (2018). Real-time estimation of break sizes during LOCA in nuclear power plants using NARX neural network. Nuclear Engineering and Technology. 51(3). 702–708. 17 indexed citations
5.
Ghofrani, Mohammad B., et al.. (2016). Accident management support tools in nuclear power plants: A post-Fukushima review. Progress in Nuclear Energy. 92. 1–14. 29 indexed citations
6.
Ghofrani, Mohammad B., et al.. (2016). Application of FFTBM with signal mirroring to improve accuracy assessment of MELCOR code. Nuclear Engineering and Design. 308. 238–251. 5 indexed citations
7.
Ghofrani, Mohammad B., et al.. (2014). Development of an Efficient Identifier for Nuclear Power Plant Transients Based on Latest Advances of Error Back-Propagation Learning Algorithm. IEEE Transactions on Nuclear Science. 61(1). 602–610. 24 indexed citations
8.
Ghofrani, Mohammad B., et al.. (2014). Assessment and Prioritizing Branding Factors Effective in the Furniture Industry. 2(2). 351–362. 1 indexed citations
9.
Ghofrani, Mohammad B., et al.. (2013). Transient identification in nuclear power plants: A review. Progress in Nuclear Energy. 67. 23–32. 77 indexed citations
10.
Pazirandeh, Ali, et al.. (2012). Calculation of the deterministic optimum loading pattern of the BUSHEHR VVER-1000 reactor using the weighting factor method. Annals of Nuclear Energy. 49. 170–181. 6 indexed citations
11.
Ghofrani, Mohammad B., et al.. (2011). Static and dynamic neural networks for simulation and optimization of cogeneration systems. International journal of energy and environmental engineering. 2(1). 51–61. 5 indexed citations
12.
Ghofrani, Mohammad B., et al.. (2010). A new approach to optimization of cogeneration systems using genetic algorithm. 1(1). 37–48.
13.
14.
Boroushaki, Mehrdad, Mohammad B. Ghofrani, & Caro Lucas. (2007). A New Approach to Spatio-Temporal Calculation of Nuclear Reactor Cores Using Neural Computing. Nuclear Science and Engineering. 155(1). 119–130. 4 indexed citations
15.
Sadeghi, Ehsan, Hiwa Khaledi, & Mohammad B. Ghofrani. (2006). Thermodynamic Analysis of Different Configurations for Microturbine Cycles in Simple and Cogeneration Systems. 247–255. 6 indexed citations
16.
Khaledi, Hiwa, et al.. (2006). Static and Dynamic Neural Networks for Simulation and Optimization of Cogeneration Systems. 615–623. 1 indexed citations
17.
Khaledi, Hiwa, et al.. (2006). Energy Analysis of Part Flow and Full Flow Humid Air Turbine Cycle (HAT). 319–327. 1 indexed citations
18.
Boroushaki, Mehrdad, Mohammad B. Ghofrani, Caro Lucas, Mohammad Javad Yazdanpanah, & Nasser Sadati. (2003). Axial offset control of PWR nuclear reactor core using intelligent techniques. Nuclear Engineering and Design. 227(3). 285–300. 23 indexed citations
19.
Boroushaki, Mehrdad, Mohammad B. Ghofrani, & Caro Lucas. (2003). Optimal fuel core loading pattern design in PWR nuclear power reactors using genetic algorithms and fuzzy nonlinear programming. Journal of Intelligent & Fuzzy Systems. 14(2). 85–93. 5 indexed citations
20.
Boroushaki, Mehrdad, Mohammad B. Ghofrani, & Caro Lucas. (2002). Identification of a nuclear reactor core (VVER) using recurrent neural networks. Annals of Nuclear Energy. 29(10). 1225–1240. 26 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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