Akbar Shahsavand

802 total citations
44 papers, 670 citations indexed

About

Akbar Shahsavand is a scholar working on Mechanical Engineering, Aerospace Engineering and Control and Systems Engineering. According to data from OpenAlex, Akbar Shahsavand has authored 44 papers receiving a total of 670 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Mechanical Engineering, 11 papers in Aerospace Engineering and 8 papers in Control and Systems Engineering. Recurrent topics in Akbar Shahsavand's work include Carbon Dioxide Capture Technologies (10 papers), Spacecraft and Cryogenic Technologies (8 papers) and nanoparticles nucleation surface interactions (7 papers). Akbar Shahsavand is often cited by papers focused on Carbon Dioxide Capture Technologies (10 papers), Spacecraft and Cryogenic Technologies (8 papers) and nanoparticles nucleation surface interactions (7 papers). Akbar Shahsavand collaborates with scholars based in Iran, Australia and United States. Akbar Shahsavand's co-authors include Ali Ahmadpour, Mahdi Pourafshari Chenar, Mahdi Niknam Shahrak, Arash Arami‐Niya, Ehsan Moaseri, Hamed Rashidi, Mohammad Ali Karimi, Shuguang Deng, Xiaofei Wu and Mehdi Panahi and has published in prestigious journals such as SHILAP Revista de lepidopterología, Chemical Engineering Journal and The Journal of Physical Chemistry C.

In The Last Decade

Akbar Shahsavand

43 papers receiving 652 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Akbar Shahsavand Iran 16 308 167 144 143 119 44 670
Achim Dittmann Germany 5 329 1.1× 54 0.3× 39 0.3× 185 1.3× 232 1.9× 7 919
Junichi KIJIMA Japan 3 324 1.1× 55 0.3× 36 0.3× 181 1.3× 246 2.1× 3 916
Julien Blondeau Belgium 18 199 0.6× 38 0.2× 48 0.3× 90 0.6× 287 2.4× 75 870
Alfred Kruse Germany 4 354 1.1× 55 0.3× 36 0.3× 204 1.4× 260 2.2× 10 990
Ichimatsu TANISHITA Japan 7 338 1.1× 60 0.4× 35 0.2× 183 1.3× 285 2.4× 26 972
James C. Hill United States 15 62 0.2× 54 0.3× 27 0.2× 81 0.6× 174 1.5× 55 839
John Hoard United States 20 224 0.7× 37 0.2× 38 0.3× 112 0.8× 87 0.7× 82 1.1k
Hanne M. Kvamsdal Norway 22 1.5k 4.7× 29 0.2× 48 0.3× 69 0.5× 938 7.9× 52 1.7k
James R. Markham United States 13 184 0.6× 34 0.2× 10 0.1× 234 1.6× 475 4.0× 50 976
Michael Golombok Netherlands 18 389 1.3× 8 0.0× 25 0.2× 167 1.2× 195 1.6× 84 1.0k

Countries citing papers authored by Akbar Shahsavand

Since Specialization
Citations

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

Fields of papers citing papers by Akbar Shahsavand

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Akbar Shahsavand

This figure shows the co-authorship network connecting the top 25 collaborators of Akbar Shahsavand. A scholar is included among the top collaborators of Akbar Shahsavand 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 Akbar Shahsavand. Akbar Shahsavand 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.
Rahimi, Amir, et al.. (2025). Reliable modeling and simulation of an industrial H2SO4-catalyzed alkylation reactor via mass transfer inside hydrocarbon phase. Process Safety and Environmental Protection. 220. 16–28.
2.
Shahsavand, Akbar, et al.. (2024). Simultaneous optimization of crude oil refinery vacuum distillation column and corresponding ejector system. Energy. 294. 130702–130702. 6 indexed citations
3.
Shahsavand, Akbar, et al.. (2023). Design and simulation of rotating packed beds for an industrial acid gas enrichment process. Fuel. 361. 130696–130696. 5 indexed citations
4.
Ahmadpour, Ali, et al.. (2020). Comparative Study between Regression and Soft Computing Models to Maximize the Methane Storage Capacity of Anthracite-Based Adsorbents. Industrial & Engineering Chemistry Research. 59(5). 1875–1887. 9 indexed citations
5.
Shahsavand, Akbar, et al.. (2018). Application of Population Balance Theory for Dynamic Modeling of Methane and Ethane Hydrate Formation Processes. Energy & Fuels. 32(8). 8131–8144. 4 indexed citations
6.
Shahsavand, Akbar, et al.. (2018). An Innovative Approach for Molecular Simulation of Nanostructured Adsorption Isotherms via the Ant Colony Method. The Journal of Physical Chemistry C. 122(10). 5710–5720. 3 indexed citations
7.
Shahsavand, Akbar, et al.. (2017). Reliable prediction of adsorption isotherms via genetic algorithm molecular simulation. Journal of Molecular Modeling. 23(1). 33–33. 4 indexed citations
8.
Shahrak, Mahdi Niknam, et al.. (2016). Synthesis, gas adsorption and reliable pore size estimation of zeolitic imidazolate framework-7 using CO 2 and water adsorption. Chinese Journal of Chemical Engineering. 25(5). 595–601. 17 indexed citations
9.
Shahsavand, Akbar, et al.. (2014). Selecting Optimal Acid Gas Enrichment Configuration For Khangiran Natural Gas Refinery. 2(2). 1–21. 4 indexed citations
10.
11.
Shahsavand, Akbar, et al.. (2014). A Theoretical Mass Transfer Approach for Prediction of Droplets Growth Inside Supersonic Laval Nozzle. SHILAP Revista de lepidopterología. 3 indexed citations
12.
Shahsavand, Akbar, et al.. (2014). Optimal Selection of Supersonic Separators Inlet Velocity Components via Maximization of Swirl Strength and Centrifugal Acceleration. Separation Science and Technology. 50(5). 752–759. 28 indexed citations
13.
Shahsavand, Akbar, et al.. (2013). Modeling and Simulation of Heat Transfer Phenomenon in Steel Belt Conveyer Sulfur Granulating Process. SHILAP Revista de lepidopterología. 2 indexed citations
14.
Shahsavand, Akbar, et al.. (2013). Analysis of supersonic separators geometry using generalized radial basis function (GRBF) artificial neural networks. Journal of Natural Gas Science and Engineering. 13. 30–41. 31 indexed citations
15.
Shahsavand, Akbar, et al.. (2013). Reliable prediction of condensation rates for purification of natural gas via supersonic separators. Separation and Purification Technology. 116. 458–470. 89 indexed citations
16.
Shahrak, Mahdi Niknam, et al.. (2012). Robust PSD determination of micro and meso-pore adsorbents via novel modified U curve method. Process Safety and Environmental Protection. 91(1). 51–62. 9 indexed citations
17.
Shahsavand, Akbar & Mahdi Niknam Shahrak. (2011). Reliable prediction of pore size distribution for nano-sized adsorbents with minimum information requirements. Chemical Engineering Journal. 171(1). 69–80. 11 indexed citations
18.
Shahsavand, Akbar, et al.. (2010). Simulation of Khangiran gas treating units for various cooling scenarios. Journal of Natural Gas Science and Engineering. 2(6). 277–283. 15 indexed citations
19.
Shahsavand, Akbar. (2009). An Optimal Radial Basis Function (RBF) Neural Network for Hyper-surface Reconstruction. Scientia Iranica. 16(1). 41–53. 7 indexed citations
20.
Shahsavand, Akbar, et al.. (2009). SIMULATION OF CONTINUOUS THERMAL STERILIZATION PROCESS IN THE PRESENCE OF SOLID PARTICLES. Scientia Iranica. 16(1). 29–40. 7 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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2026