Reza Haghbakhsh

1.8k total citations
68 papers, 1.5k citations indexed

About

Reza Haghbakhsh is a scholar working on Catalysis, Biomedical Engineering and Fluid Flow and Transfer Processes. According to data from OpenAlex, Reza Haghbakhsh has authored 68 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 54 papers in Catalysis, 40 papers in Biomedical Engineering and 37 papers in Fluid Flow and Transfer Processes. Recurrent topics in Reza Haghbakhsh's work include Ionic liquids properties and applications (52 papers), Phase Equilibria and Thermodynamics (40 papers) and Thermodynamic properties of mixtures (37 papers). Reza Haghbakhsh is often cited by papers focused on Ionic liquids properties and applications (52 papers), Phase Equilibria and Thermodynamics (40 papers) and Thermodynamic properties of mixtures (37 papers). Reza Haghbakhsh collaborates with scholars based in Iran, Portugal and Netherlands. Reza Haghbakhsh's co-authors include Sona Raeissi, Ana Rita C. Duarte, Alireza Shariati, Ali Bakhtyari, Mohammad Reza Rahimpour, Mohammad Ali Ahmadi, Reza Soleimani, Majid Saidi, Alireza Ahmadi and Alexandre Paiva and has published in prestigious journals such as The Journal of Physical Chemistry B, Journal of Hazardous Materials and Scientific Reports.

In The Last Decade

Reza Haghbakhsh

65 papers receiving 1.5k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Reza Haghbakhsh Iran 25 1.1k 713 450 369 340 68 1.5k
Qunsheng Li China 25 1.2k 1.1× 1.0k 1.5× 404 0.9× 526 1.4× 547 1.6× 92 2.2k
Víctor H. Álvarez Brazil 23 1.2k 1.1× 1.1k 1.5× 422 0.9× 207 0.6× 491 1.4× 54 2.0k
Allan N. Soriano Philippines 27 1.3k 1.1× 919 1.3× 686 1.5× 401 1.1× 772 2.3× 82 2.1k
Silvana Mattedi Brazil 25 1.2k 1.0× 857 1.2× 544 1.2× 342 0.9× 389 1.1× 127 2.3k
Lawien F. Zubeir Netherlands 17 1.5k 1.3× 672 0.9× 200 0.4× 337 0.9× 731 2.1× 23 1.9k
Kamil Paduszyński Poland 28 1.8k 1.6× 921 1.3× 690 1.5× 598 1.6× 347 1.0× 65 2.2k
Roberto I. Canales Chile 19 661 0.6× 481 0.7× 146 0.3× 274 0.7× 317 0.9× 55 1.2k
Rhoda B. Leron Taiwan 24 1.7k 1.5× 1.1k 1.6× 655 1.5× 534 1.4× 932 2.7× 51 2.3k
Thanapalan Murugesan Malaysia 24 576 0.5× 465 0.7× 416 0.9× 487 1.3× 438 1.3× 60 1.5k
Anantharaj Ramalingam India 21 1.0k 0.9× 350 0.5× 150 0.3× 350 0.9× 535 1.6× 66 1.5k

Countries citing papers authored by Reza Haghbakhsh

Since Specialization
Citations

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

Fields of papers citing papers by Reza Haghbakhsh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Reza Haghbakhsh

This figure shows the co-authorship network connecting the top 25 collaborators of Reza Haghbakhsh. A scholar is included among the top collaborators of Reza Haghbakhsh 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 Reza Haghbakhsh. Reza Haghbakhsh 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.
Esmaeilzadeh, Feridun, et al.. (2025). Predicting the solubility of drugs in supercritical carbon dioxide using machine learning and atomic contribution. European Journal of Pharmaceutics and Biopharmaceutics. 211. 114720–114720. 2 indexed citations
2.
3.
Soltani, Fatemeh, Reza Haghbakhsh, & Sona Raeissi. (2025). Global atomic and group contribution models for prediction of the thermal conductivities of deep eutectic solvents. Thermochimica Acta. 749. 180017–180017.
4.
Haghbakhsh, Reza, et al.. (2025). Sulfur dioxide capture by deep eutectic solvents: Proposing purely predictive absorption models. Journal of Hazardous Materials. 490. 137741–137741. 1 indexed citations
5.
Paiva, Alexandre, et al.. (2025). Application of Hansen solubility parameters in the eutectic mixtures: difference between empirical and semi-empirical models. Scientific Reports. 15(1). 3862–3862. 8 indexed citations
6.
Haghbakhsh, Reza, et al.. (2024). Proposing novel predictive group and atomic contribution models for hydrogen sulfide absorption by Deep Eutectic Solvents. Separation and Purification Technology. 354. 129229–129229. 3 indexed citations
7.
Halder, Amit Kumar, Reza Haghbakhsh, Elisabete S.C. Ferreira, Ana Rita C. Duarte, & M. Natália D. S. Cordeiro. (2024). Machine learning-driven prediction of deep eutectic solvents’ heat capacity for sustainable process design. Journal of Molecular Liquids. 418. 126707–126707. 8 indexed citations
8.
Haghbakhsh, Reza, et al.. (2024). Sulfur dioxide absorption by novel green solvents of deep eutectic solvents: Modeling screening. Chemosphere. 366. 143512–143512. 1 indexed citations
9.
Paiva, Alexandre, et al.. (2023). Is it possible to correlate various physicochemical properties of Natural Deep eutectic systems in order to predict their behaviours as solvents?. Journal of Molecular Liquids. 384. 122280–122280. 18 indexed citations
10.
Haghbakhsh, Reza, et al.. (2023). Overview and thermodynamic modelling of deep eutectic solvents as co-solvents to enhance drug solubilities in water. European Journal of Pharmaceutics and Biopharmaceutics. 193. 1–15. 15 indexed citations
11.
Halder, Amit Kumar, Reza Haghbakhsh, Iuliia V. Voroshylova, Ana Rita C. Duarte, & M. Natália D. S. Cordeiro. (2021). Density of Deep Eutectic Solvents: The Path Forward Cheminformatics-Driven Reliable Predictions for Mixtures. Molecules. 26(19). 5779–5779. 31 indexed citations
12.
Haghbakhsh, Reza, Sona Raeissi, & Ana Rita C. Duarte. (2021). Group contribution and atomic contribution models for the prediction of various physical properties of deep eutectic solvents. Scientific Reports. 11(1). 6684–6684. 47 indexed citations
13.
Haghbakhsh, Reza & Sona Raeissi. (2020). A study of non-ideal mixtures of ethanol and the (1 choline chloride +2 ethylene glycol) deep eutectic solvent for their volumetric behaviour. The Journal of Chemical Thermodynamics. 150. 106219–106219. 23 indexed citations
14.
Haghbakhsh, Reza & Sona Raeissi. (2019). A novel atomic contribution model for the standard chemical exergies of organic compounds. Fluid Phase Equilibria. 507. 112397–112397. 13 indexed citations
15.
Haghbakhsh, Reza, et al.. (2019). Experimental Investigation of Liquid–Liquid Extraction of Toluene + Heptane or Toluene + Hexane Using Deep Eutectic Solvents. Journal of Chemical & Engineering Data. 64(9). 3811–3820. 25 indexed citations
16.
Haghbakhsh, Reza & Sona Raeissi. (2019). Deep eutectic solvents for CO2 capture from natural gas by energy and exergy analyses. Journal of environmental chemical engineering. 7(6). 103411–103411. 33 indexed citations
17.
Haghbakhsh, Reza & Sona Raeissi. (2018). Investigation of solutions of ethyl alcohol and the deep eutectic solvent of Reline for their volumetric properties. Fluid Phase Equilibria. 472. 39–47. 39 indexed citations
18.
Haghbakhsh, Reza & Sona Raeissi. (2017). Modeling vapor-liquid equilibria of mixtures of SO2 and deep eutectic solvents using the CPA-NRTL and CPA-UNIQUAC models. Journal of Molecular Liquids. 250. 259–268. 33 indexed citations
19.
Raeissi, Sona, Reza Haghbakhsh, Louw J. Florusse, & Cor J. Peters. (2015). Solubility of Carbon Dioxide in Secondary Butyl Alcohol at High Pressures: Experimental and Modeling with CPA. Journal of Solution Chemistry. 44(8). 1555–1567. 4 indexed citations
20.
Ahmadi, Mohammad Ali, et al.. (2014). Estimation of H2S solubility in ionic liquids using a rigorous method. The Journal of Supercritical Fluids. 92. 60–69. 62 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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