Saeed Ghavami Gargari

432 total citations
8 papers, 374 citations indexed

About

Saeed Ghavami Gargari is a scholar working on Mechanical Engineering, Statistical and Nonlinear Physics and Genetics. According to data from OpenAlex, Saeed Ghavami Gargari has authored 8 papers receiving a total of 374 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Mechanical Engineering, 4 papers in Statistical and Nonlinear Physics and 1 paper in Genetics. Recurrent topics in Saeed Ghavami Gargari's work include Thermodynamic and Exergetic Analyses of Power and Cooling Systems (6 papers), Carbon Dioxide Capture Technologies (5 papers) and Advanced Thermodynamics and Statistical Mechanics (4 papers). Saeed Ghavami Gargari is often cited by papers focused on Thermodynamic and Exergetic Analyses of Power and Cooling Systems (6 papers), Carbon Dioxide Capture Technologies (5 papers) and Advanced Thermodynamics and Statistical Mechanics (4 papers). Saeed Ghavami Gargari collaborates with scholars based in Iran and United States. Saeed Ghavami Gargari's co-authors include Hadi Ghaebi, Hadi Rostamzadeh, Mostafa Rahimi, Mortaza Yari, Peyman Eshghi, Samin Alavi and Armin Rashidi and has published in prestigious journals such as Energy Conversion and Management, Renewable Energy and Journal of Pediatric Hematology/Oncology.

In The Last Decade

Saeed Ghavami Gargari

8 papers receiving 364 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Saeed Ghavami Gargari	273	103	99	93	53	8	374
M. Nourpour	291 1.1×	153 1.5×	108 1.1×	100 1.1×	63 1.2×	7	379
Samareh Ahmadi	249 0.9×	137 1.3×	77 0.8×	96 1.0×	82 1.5×	7	368
Moein Shamoushaki	265 1.0×	150 1.5×	111 1.1×	46 0.5×	67 1.3×	22	418
Meina Xie	350 1.3×	98 1.0×	83 0.8×	57 0.6×	70 1.3×	22	458
Shahid Islam	229 0.8×	173 1.7×	62 0.6×	91 1.0×	56 1.1×	9	331
Özkan Köse	287 1.1×	82 0.8×	105 1.1×	41 0.4×	38 0.7×	23	368
Beneta Eisavi	235 0.9×	105 1.0×	59 0.6×	61 0.7×	74 1.4×	8	383
Victor Adebayo	302 1.1×	189 1.8×	68 0.7×	128 1.4×	76 1.4×	18	405
Meeta Sharma	314 1.2×	179 1.7×	77 0.8×	26 0.3×	46 0.9×	33	401
H. Rostamnejad Takleh	466 1.7×	191 1.9×	185 1.9×	94 1.0×	86 1.6×	11	529

Countries citing papers authored by Saeed Ghavami Gargari

Since Specialization

Citations

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

Fields of papers citing papers by Saeed Ghavami Gargari

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Saeed Ghavami Gargari. 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 Saeed Ghavami Gargari. The network helps show where Saeed Ghavami Gargari may publish in the future.

Co-authorship network of co-authors of Saeed Ghavami Gargari

This figure shows the co-authorship network connecting the top 25 collaborators of Saeed Ghavami Gargari. A scholar is included among the top collaborators of Saeed Ghavami Gargari 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 Saeed Ghavami Gargari. Saeed Ghavami Gargari is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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8 of 8 papers shown

Gargari, Saeed Ghavami, et al.. (2021). Thermodynamic and thermoeconomic analysis of a novel power and hydrogen cogeneration cycle based on solid SOFC. Renewable Energy. 177. 495–518. 55 indexed citations

Gargari, Saeed Ghavami, Mostafa Rahimi, & Hadi Ghaebi. (2019). Energy, exergy, economic and environmental analysis and optimization of a novel biogas-based multigeneration system based on Gas Turbine-Modular Helium Reactor cycle. Energy Conversion and Management. 185. 816–835. 57 indexed citations

Gargari, Saeed Ghavami, Hadi Ghaebi, & Mostafa Rahimi. (2019). Energy and Exergy Analysis and Optimization of a Multigeneration System by Coupling of GT-MHR Reactor, Absorption Refrigeration, Steam Reforming, and HDH Desalination Cycles. 19(3). 631–642. 1 indexed citations

Rostamzadeh, Hadi, et al.. (2018). A novel multigeneration system driven by a hybrid biogas-geothermal heat source, Part II: Multi-criteria optimization. Energy Conversion and Management. 180. 859–888. 80 indexed citations

Gargari, Saeed Ghavami, Mostafa Rahimi, & Hadi Ghaebi. (2018). Thermodynamic analysis of a novel power-hydrogen cogeneration system. Energy Conversion and Management. 171. 1093–1105. 27 indexed citations

Rostamzadeh, Hadi, et al.. (2018). A novel multigeneration system driven by a hybrid biogas-geothermal heat source, Part I: Thermodynamic modeling. Energy Conversion and Management. 177. 535–562. 80 indexed citations

Ghaebi, Hadi, Mortaza Yari, Saeed Ghavami Gargari, & Hadi Rostamzadeh. (2018). Thermodynamic modeling and optimization of a combined biogas steam reforming system and organic Rankine cycle for coproduction of power and hydrogen. Renewable Energy. 130. 87–102. 52 indexed citations

Eshghi, Peyman, Samin Alavi, Saeed Ghavami Gargari, & Armin Rashidi. (2007). Growth Impairment in ??-Thalassemia Major: The Role of Trace Element Deficiency and Other Potential Factors. Journal of Pediatric Hematology/Oncology. 29(1). 5–8. 22 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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