Hassan Dashtian

465 total citations
19 papers, 364 citations indexed

About

Hassan Dashtian is a scholar working on Environmental Engineering, Ocean Engineering and Economics and Econometrics. According to data from OpenAlex, Hassan Dashtian has authored 19 papers receiving a total of 364 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Environmental Engineering, 6 papers in Ocean Engineering and 4 papers in Economics and Econometrics. Recurrent topics in Hassan Dashtian's work include CO2 Sequestration and Geologic Interactions (4 papers), Complex Systems and Time Series Analysis (4 papers) and Misinformation and Its Impacts (3 papers). Hassan Dashtian is often cited by papers focused on CO2 Sequestration and Geologic Interactions (4 papers), Complex Systems and Time Series Analysis (4 papers) and Misinformation and Its Impacts (3 papers). Hassan Dashtian collaborates with scholars based in United States, Iran and Saudi Arabia. Hassan Dashtian's co-authors include Muhammad Sahimi, Nima Shokri, Sassan Hajirezaie, Seyyed A. Hosseini, Mohsen Masihi, G. R. Jafari, Dhiraj Murthy, Sahar Bakhshian, Yafan Yang and Grace Kong and has published in prestigious journals such as The Journal of Chemical Physics, SHILAP Revista de lepidopterología and Geophysical Research Letters.

In The Last Decade

Hassan Dashtian

16 papers receiving 357 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Hassan Dashtian United States 10 150 120 79 64 40 19 364
Martina Siena Italy 11 189 1.3× 142 1.2× 77 1.0× 51 0.8× 36 0.9× 21 309
Sumit Mukhopadhyay United States 11 228 1.5× 95 0.8× 115 1.5× 67 1.0× 37 0.9× 30 343
J. S. Y. Wang United States 6 154 1.0× 50 0.4× 124 1.6× 98 1.5× 87 2.2× 12 346
Chunyan Liu China 12 68 0.5× 29 0.2× 115 1.5× 50 0.8× 14 0.3× 57 549
Anna Russian France 12 337 2.2× 198 1.6× 166 2.1× 107 1.7× 66 1.6× 16 576
J.N. Breunese Netherlands 12 55 0.4× 118 1.0× 102 1.3× 80 1.3× 214 5.3× 27 473
Ludovic Ricard Australia 9 111 0.7× 100 0.8× 86 1.1× 70 1.1× 109 2.7× 46 300
Ayman N. Qadrouh Saudi Arabia 8 23 0.2× 122 1.0× 121 1.5× 96 1.5× 117 2.9× 27 350
David J. Goggin United States 7 183 1.2× 134 1.1× 139 1.8× 145 2.3× 84 2.1× 12 397
Didier Renard France 9 191 1.3× 114 0.9× 110 1.4× 54 0.8× 43 1.1× 47 451

Countries citing papers authored by Hassan Dashtian

Since Specialization
Citations

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

Fields of papers citing papers by Hassan Dashtian

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hassan Dashtian

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

All Works

19 of 19 papers shown
1.
Bakhshian, Sahar, Hassan Dashtian, Mahdi Haddad, et al.. (2025). Near-Surface Monitoring of Plugged and Abandoned Wells for Real-Time Leakage Detection in Geologic Carbon Storage. International journal of greenhouse gas control. 147. 104483–104483.
2.
Dashtian, Hassan, et al.. (2024). A framework to nowcast soil moisture with NASA SMAP level 4 data using in-situ measurements and deep learning. Journal of Hydrology Regional Studies. 56. 102020–102020.
3.
Murthy, Dhiraj, Juhan Lee, Hassan Dashtian, & Grace Kong. (2023). Influence of User Profile Attributes on e-Cigarette–Related Searches on YouTube: Machine Learning Clustering and Classification. SHILAP Revista de lepidopterología. 3. e42218–e42218. 5 indexed citations
4.
Dunlap, Dallas, Sahar Bakhshian, Rajesh Pawar, et al.. (2022). Introduction to special section: CO2 geologic storage and utilization: Recent advances and future perspectives. Interpretation. 10(3). SGi–SGi.
5.
Kong, Grace, et al.. (2022). Understanding e-cigarette content and promotion on YouTube through machine learning. Tobacco Control. 32(6). 739–746. 26 indexed citations
6.
Murthy, Dhiraj & Hassan Dashtian. (2021). CML-COVID: A LARGE-SCALE COVID-19 TWITTER DATASET WITH LATENT TOPICS, SENTIMENT AND LOCATION INFORMATION. Academia Letters. 6 indexed citations
7.
Dashtian, Hassan, Dhiraj Murthy, & Grace Kong. (2021). An Exploration of e-Cigarette–Related Search Items on YouTube: Network Analysis. Journal of Medical Internet Research. 24(1). e30679–e30679. 9 indexed citations
8.
Dashtian, Hassan & Sahar Bakhshian. (2021). Effects of salinity and shear stress on clay deformation: A molecular dynamics study. The Journal of Chemical Physics. 155(13). 134304–134304. 3 indexed citations
9.
Dashtian, Hassan, Sahar Bakhshian, Sassan Hajirezaie, Jean‐Philippe Nicot, & Seyyed A. Hosseini. (2019). Convection-diffusion-reaction of CO2-enriched brine in porous media: A pore-scale study. Computers & Geosciences. 125. 19–29. 39 indexed citations
10.
Soltanian, Mohamad Reza, Sassan Hajirezaie, Seyyed A. Hosseini, et al.. (2019). Multicomponent reactive transport of carbon dioxide in fluvial heterogeneous aquifers. Journal of Natural Gas Science and Engineering. 65. 212–223. 70 indexed citations
11.
Dashtian, Hassan, et al.. (2017). Nucleation of Salt Crystals in Clay Minerals: Molecular Dynamics Simulation. The Journal of Physical Chemistry Letters. 8(14). 3166–3172. 51 indexed citations
12.
Dashtian, Hassan, Nima Shokri, & Muhammad Sahimi. (2017). Pore-network model of evaporation-induced salt precipitation in porous media: The effect of correlations and heterogeneity. Advances in Water Resources. 112. 59–71. 51 indexed citations
13.
Dashtian, Hassan & Muhammad Sahimi. (2015). Denoising of Seismic Data Using Curvelet Transformation: The Effect of on the Content of the Data. SPE Western Regional Meeting. 1 indexed citations
14.
Dashtian, Hassan, Yafan Yang, & Muhammad Sahimi. (2015). Nonuniversality of the Archie exponent due to multifractality of resistivity well logs. Geophysical Research Letters. 42(24). 28 indexed citations
15.
Dashtian, Hassan & Muhammad Sahimi. (2014). Coherence index and curvelet transformation for denoising geophysical data. Physical Review E. 90(4). 42810–42810. 5 indexed citations
16.
Dashtian, Hassan & Muhammad Sahimi. (2013). Analysis of pressure fluctuations in fluidized beds. III. The significance of the cross correlations. Chemical Engineering Science. 101. 390–400. 13 indexed citations
17.
Dashtian, Hassan, G. R. Jafari, Muhammad Sahimi, & Mohsen Masihi. (2011). Scaling, multifractality, and long-range correlations in well log data of large-scale porous media. Physica A Statistical Mechanics and its Applications. 390(11). 2096–2111. 34 indexed citations
18.
Dashtian, Hassan, et al.. (2011). Analysis of Cross Correlations Between Well Logs of Hydrocarbon Reservoirs. Transport in Porous Media. 90(2). 445–464. 19 indexed citations
19.

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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