Mohd Parvez

1.3k total citations
65 papers, 837 citations indexed

About

Mohd Parvez is a scholar working on Mechanical Engineering, Renewable Energy, Sustainability and the Environment and Biomedical Engineering. According to data from OpenAlex, Mohd Parvez has authored 65 papers receiving a total of 837 indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Mechanical Engineering, 17 papers in Renewable Energy, Sustainability and the Environment and 15 papers in Biomedical Engineering. Recurrent topics in Mohd Parvez's work include Thermodynamic and Exergetic Analyses of Power and Cooling Systems (18 papers), Advanced Thermodynamics and Statistical Mechanics (13 papers) and Solar Thermal and Photovoltaic Systems (11 papers). Mohd Parvez is often cited by papers focused on Thermodynamic and Exergetic Analyses of Power and Cooling Systems (18 papers), Advanced Thermodynamics and Statistical Mechanics (13 papers) and Solar Thermal and Photovoltaic Systems (11 papers). Mohd Parvez collaborates with scholars based in India, Saudi Arabia and Türkiye. Mohd Parvez's co-authors include Osama Khan, Mamoun Medraj, Ashok Kumar Yadav, Zeinebou Yahya, W. T. Thompson, R. A. L. Drew, Robert P. Hammond, M. Emran Khan, Aiyeshah Alhodaib and Shiv Lal and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and International Journal of Hydrogen Energy.

In The Last Decade

Mohd Parvez

60 papers receiving 786 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mohd Parvez India 17 302 224 166 135 113 65 837
John J. J. Chen New Zealand 22 990 3.3× 262 1.2× 269 1.6× 214 1.6× 154 1.4× 63 1.6k
Edson Bazzo Brazil 19 451 1.5× 164 0.7× 107 0.6× 228 1.7× 184 1.6× 75 901
Martin Koller Czechia 15 479 1.6× 140 0.6× 208 1.3× 90 0.7× 105 0.9× 49 760
Lin Gao China 16 586 1.9× 320 1.4× 78 0.5× 109 0.8× 168 1.5× 47 897
A. Ertas United States 16 362 1.2× 122 0.5× 161 1.0× 96 0.7× 78 0.7× 108 1.0k
Zhilong Cheng China 22 1.0k 3.4× 402 1.8× 162 1.0× 118 0.9× 82 0.7× 42 1.5k
İsmail Ekmekçi Türkiye 14 177 0.6× 37 0.2× 139 0.8× 31 0.2× 37 0.3× 51 560
Binjian Nie United Kingdom 20 1.2k 3.9× 136 0.6× 230 1.4× 482 3.6× 243 2.2× 63 1.6k

Countries citing papers authored by Mohd Parvez

Since Specialization
Citations

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

Fields of papers citing papers by Mohd Parvez

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mohd Parvez

This figure shows the co-authorship network connecting the top 25 collaborators of Mohd Parvez. A scholar is included among the top collaborators of Mohd Parvez 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 Mohd Parvez. Mohd Parvez 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.
Khan, Faisal, Osama Khan, Mohd Parvez, et al.. (2025). Innovative hydrogen production from waste bio-oil via steam methane reforming: An advanced ANN-AHP-k-means modelling approach using extreme machine learning weighted clustering. International Journal of Hydrogen Energy. 105. 1080–1091. 5 indexed citations
2.
Khan, Faisal, et al.. (2025). Enhancing biogas/biohydrogen utilization in dual-fuel engines using advanced machine learning algorithms. International Journal of Hydrogen Energy. 112. 81–90. 4 indexed citations
3.
Khan, Osama, et al.. (2024). Optimising building heat load prediction using advanced control strategies and Artificial Intelligence for HVAC system. Thermal Science and Engineering Progress. 49. 102484–102484. 22 indexed citations
4.
Khan, Osama, Mohd Parvez, & Ashok Kumar Yadav. (2024). A comparative analysis of various nanocomposites for the remediation of heavy metals from biomass liquid digestate using multi-criteria decision methods. Biomass and Bioenergy. 186. 107281–107281. 11 indexed citations
5.
Khan, Faisal, Osama Khan, Mohd Parvez, et al.. (2024). K-means clustering optimization of various quantum dots and nanoparticles-added biofuels for engine performance, emission, vibration, and noise characteristics. Thermal Science and Engineering Progress. 54. 102815–102815. 7 indexed citations
6.
Khan, Osama, Mohd Parvez, Aiyeshah Alhodaib, et al.. (2024). Exploring the performance of biodiesel-hydrogen blends with diverse nanoparticles in diesel engine: A hybrid machine learning K-means clustering approach with weighted performance metrics. International Journal of Hydrogen Energy. 78. 547–563. 17 indexed citations
7.
Khan, Osama, et al.. (2024). Performance and emission analysis of biodiesel blends enriched with biohydrogen and biogas in internal combustion engines. Process Safety and Environmental Protection. 183. 1013–1037. 24 indexed citations
8.
9.
Alhodaib, Aiyeshah, Zeinebou Yahya, Osama Khan, et al.. (2024). Sustainable coatings for green solar photovoltaic cells: performance and environmental impact of recyclable biomass digestate polymers. Scientific Reports. 14(1). 11221–11221. 14 indexed citations
10.
Equbal, Azhar, Mohd Parvez, Zeinebou Yahya, et al.. (2024). Comparative analysis of machine learning and artificial intelligence models for optimizing mixed refrigerant characteristics in a hydrogen pre-cooling storage system. Journal of Energy Storage. 102. 114101–114101. 4 indexed citations
11.
Khan, Mohd Zaheen, Irfan Habib, Mohd Parvez, et al.. (2024). Development of a novel energy efficient integrated system for concurrent waste water treatment, hydrogen production and carbon capture- A sustainable approach. International Journal of Hydrogen Energy. 137. 1223–1234. 7 indexed citations
12.
13.
Khan, Osama, et al.. (2023). Maximizing biodiesel production: An intelligent software-driven optimization of ultrasonic reactor operating variables. Bioresource Technology Reports. 22. 101474–101474. 14 indexed citations
14.
Parvez, Mohd. (2023). First and second law assessment of a solar tower power plant for electrical power production and error analysis. DergiPark (Istanbul University). 1 indexed citations
15.
Khan, Osama, Mohd Parvez, Pratibha Kumari, et al.. (2023). Modelling of compression ignition engine by soft computing techniques (ANFIS-NSGA-II and RSM) to enhance the performance characteristics for leachate blends with nano-additives. Scientific Reports. 13(1). 15429–15429. 12 indexed citations
16.
17.
Parvez, Mohd, et al.. (2023). Investigation of (3E) energy, exergy, and environmental analysis of syngas production for combined power and cooling plant by testing six different biomasses. Biomass Conversion and Biorefinery. 14(19). 24265–24279. 3 indexed citations
18.
19.
Parvez, Mohd, et al.. (2023). Assessing Water Desalination in the United Arab Emirates: An Overview. 1373–1377. 2 indexed citations
20.
Khan, Osama, et al.. (2021). Experimental analysis of solar powered disinfection tunnel mist spray system for coronavirus prevention in public and remote places. Materials Today Proceedings. 46. 6852–6858. 27 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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