Reza Rooki

626 total citations
24 papers, 513 citations indexed

About

Reza Rooki is a scholar working on Mechanical Engineering, Ocean Engineering and Civil and Structural Engineering. According to data from OpenAlex, Reza Rooki has authored 24 papers receiving a total of 513 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Mechanical Engineering, 12 papers in Ocean Engineering and 5 papers in Civil and Structural Engineering. Recurrent topics in Reza Rooki's work include Drilling and Well Engineering (12 papers), Hydraulic Fracturing and Reservoir Analysis (8 papers) and Mineral Processing and Grinding (7 papers). Reza Rooki is often cited by papers focused on Drilling and Well Engineering (12 papers), Hydraulic Fracturing and Reservoir Analysis (8 papers) and Mineral Processing and Grinding (7 papers). Reza Rooki collaborates with scholars based in Iran, Greece and Algeria. Reza Rooki's co-authors include Faramarz Doulati Ardejani, Ali Moradzadeh, Ahmad Aryafar, Mahmood Norouzi, Vassilios C. Kelessidis, Raoof Gholami, Afshin Asadi, Vahid Khosravi, Reza Mikaeil and Asghar Azizi and has published in prestigious journals such as SHILAP Revista de lepidopterología, Measurement and Environmental Earth Sciences.

In The Last Decade

Reza Rooki

24 papers receiving 503 citations

Peers

Reza Rooki

CSE

WST

S.S. Matin Iran

Manuel Cánovas Chile

Weidong Zhao China

Nasser Al-Azri Oman

Shengyan Gao China

Hao Ding China

Christian F. Ihle Chile

Qizhi Wang China

Jiqing Li China

S.S. Matin Iran

Reza Rooki

138 ×0.7

348 ×1.6

92 ×0.9

CSE

55 ×0.7

130 ×1.8

WST

Citations per year, relative to Reza Rooki Reza Rooki (= 1×) peers S.S. Matin

Countries citing papers authored by Reza Rooki

Since Specialization

Citations

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

Fields of papers citing papers by Reza Rooki

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Reza Rooki

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Shirazy, Adel, et al.. (2021). K-Means Clustering and General Regression Neural Network Methods for Copper Mineralization probability in Char-Farsakh, Iran. Türkiye Jeoloji Bülteni / Geological Bulletin of Turkey. 3 indexed citations

Rooki, Reza, et al.. (2020). Cuttings Transport Modeling in Wellbore Annulus in Oil Drilling Operation using Evolutionary Fuzzy System. SHILAP Revista de lepidopterología. 54(2). 273–283. 1 indexed citations

Norouzi, Mahmood, et al.. (2020). Computational study on drilling mud flow through wellbore annulus by Giesekus viscoelastic model. Proceedings of the Institution of Mechanical Engineers Part E Journal of Process Mechanical Engineering. 235(1). 66–79. 2 indexed citations

Rooki, Reza, et al.. (2017). Oil Reservoir Permeability Estimation from Well Logging Data Using Statistical Methods (A Case Study: South Pars Oil Reservoir). Civil Engineering Journal. 3(10). 831–840. 7 indexed citations

Rooki, Reza, et al.. (2017). Investigating the groundwater quality in aquifer of Gonabad basin, Khorasan Razavi, using multivariate statistical methods and artificial intelligence. 2(1). 49–61. 1 indexed citations

Azizi, Asghar, S.Z. Shafaei, & Reza Rooki. (2016). WEAR RATE PREDICTION OF GRINDING MEDIA USING BPNN AND MLR MODELS IN GRINDING OF SULPHIDE ORES. 13(2). 73–84. 3 indexed citations

Rooki, Reza, et al.. (2016). Cuttings transport modeling in underbalanced oil drilling operation using radial basis neural network. Egyptian Journal of Petroleum. 26(2). 541–546. 15 indexed citations

Azizi, Asghar, et al.. (2016). Modelling and simulation of the cyanidation process of Aghdareh gold ore using artificial neural network and multiple linear regression. International Journal of Mining and Mineral Engineering. 7(2). 139–139. 3 indexed citations

Rooki, Reza. (2016). Application of general regression neural network (GRNN) for indirect measuring pressure loss of Herschel–Bulkley drilling fluids in oil drilling. Measurement. 85. 184–191. 70 indexed citations

10.

Rooki, Reza. (2014). Estimation of Pressure Loss of Herschel–Bulkley Drilling Fluids During Horizontal Annulus Using Artificial Neural Network. Journal of Dispersion Science and Technology. 36(2). 161–169. 18 indexed citations

11.

Rooki, Reza, Faramarz Doulati Ardejani, Ali Moradzadeh, & Mahmood Norouzi. (2014). CFD Simulation of Rheological Model Effect on Cuttings Transport. Journal of Dispersion Science and Technology. 36(3). 402–410. 38 indexed citations

12.

Rooki, Reza, Faramarz Doulati Ardejani, & Ali Moradzadeh. (2014). Hole Cleaning Prediction in Foam Drilling Using Artificial Neural Network and Multiple Linear Regression. 4(1). 47–53. 29 indexed citations

13.

Rooki, Reza, Faramarz Doulati Ardejani, Ali Moradzadeh, & Mahmood Norouzi. (2013). Cuttings transport modeling in foam drilling using computational fluid dynamics (CFD). 1(2). 115–127. 4 indexed citations

14.

Rooki, Reza, Faramarz Doulati Ardejani, Ali Moradzadeh, & Mahmood Norouzi. (2013). Simulation of cuttings transport with foam in deviated wellbores using computational fluid dynamics. Journal of Petroleum Exploration and Production Technology. 4(3). 263–273. 38 indexed citations

15.

Mikaeil, Reza, et al.. (2013). Predicting the production rate of diamond wire saws using multiple nonlinear regression analysis. Geosystem Engineering. 16(4). 275–285. 25 indexed citations

16.

Azizi, Asghar, et al.. (2012). Estimating of gold recovery by using back propagation neural network and multiple linear regression methods in cyanide leaching process. 8(11). 2 indexed citations

17.

Rooki, Reza, et al.. (2012). Prediction of terminal velocity of solid spheres falling through Newtonian and non-Newtonian pseudoplastic power law fluid using artificial neural network. International Journal of Mineral Processing. 110-111. 53–61. 41 indexed citations

18.

Rooki, Reza, Faramarz Doulati Ardejani, Ali Moradzadeh, et al.. (2012). Optimal determination of rheological parameters for herschel-bulkley drilling fluids using genetic algorithms (GAs). Korea-Australia Rheology Journal. 24(3). 163–170. 37 indexed citations

19.

Rooki, Reza, et al.. (2012). Prediction of Rare Earth Elements in Neutral Alkaline Mine Drainage from Razi Coal Mine, Golestan Province, Northeast Iran, Using General Regression Neural Network. Journal of Environmental Engineering. 139(6). 896–907. 26 indexed citations

20.

Rooki, Reza, Faramarz Doulati Ardejani, Ahmad Aryafar, & Afshin Asadi. (2011). Prediction of heavy metals in acid mine drainage using artificial neural network from the Shur River of the Sarcheshmeh porphyry copper mine, Southeast Iran. Environmental Earth Sciences. 64(5). 1303–1316. 42 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.

Explore authors with similar magnitude of impact