Danial Kaviani

814 total citations
24 papers, 683 citations indexed

About

Danial Kaviani is a scholar working on Mechanical Engineering, Ocean Engineering and Mechanics of Materials. According to data from OpenAlex, Danial Kaviani has authored 24 papers receiving a total of 683 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Mechanical Engineering, 21 papers in Ocean Engineering and 9 papers in Mechanics of Materials. Recurrent topics in Danial Kaviani's work include Hydraulic Fracturing and Reservoir Analysis (22 papers), Reservoir Engineering and Simulation Methods (21 papers) and Drilling and Well Engineering (13 papers). Danial Kaviani is often cited by papers focused on Hydraulic Fracturing and Reservoir Analysis (22 papers), Reservoir Engineering and Simulation Methods (21 papers) and Drilling and Well Engineering (13 papers). Danial Kaviani collaborates with scholars based in Canada, United States and British Virgin Islands. Danial Kaviani's co-authors include Christopher R. Clarkson, Jerry L. Jensen, Morteza Nobakht, Turgay Ertekin, Mohammad Soroush, Larry W. Lake, Peter P. Valkó, Seyyed M. Ghaderi, C. R. Clarkson and Mashhad Fahes and has published in prestigious journals such as Energies, Journal of Petroleum Science and Engineering and SPE Journal.

In The Last Decade

Danial Kaviani

24 papers receiving 643 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Danial Kaviani Canada 15 598 598 255 61 46 24 683
Hamid Behmanesh Canada 16 598 1.0× 604 1.0× 172 0.7× 72 1.2× 64 1.4× 41 660
Yueming Cheng United States 7 381 0.6× 430 0.7× 242 0.9× 46 0.8× 86 1.9× 23 476
James C. Erdle United States 7 651 1.1× 719 1.2× 379 1.5× 81 1.3× 148 3.2× 14 817
Robert Hawkes Canada 12 502 0.8× 563 0.9× 229 0.9× 83 1.4× 120 2.6× 36 604
Gang Han United States 11 304 0.5× 290 0.5× 203 0.8× 92 1.5× 42 0.9× 36 432
Jason Baihly British Virgin Islands 16 732 1.2× 749 1.3× 263 1.0× 32 0.5× 174 3.8× 40 857
Shijun Huang China 14 405 0.7× 439 0.7× 180 0.7× 86 1.4× 61 1.3× 35 486
Amirmasoud Kalantari-Dahaghi United States 12 268 0.4× 267 0.4× 197 0.8× 74 1.2× 28 0.6× 20 362
Fanhui Zeng China 15 363 0.6× 346 0.6× 273 1.1× 30 0.5× 62 1.3× 47 476
Raphael Altman British Virgin Islands 12 353 0.6× 342 0.6× 168 0.7× 22 0.4× 77 1.7× 21 441

Countries citing papers authored by Danial Kaviani

Since Specialization
Citations

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

Fields of papers citing papers by Danial Kaviani

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Danial Kaviani

This figure shows the co-authorship network connecting the top 25 collaborators of Danial Kaviani. A scholar is included among the top collaborators of Danial Kaviani 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 Danial Kaviani. Danial Kaviani 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.
Soroush, Mohammad, Danial Kaviani, & Jerry L. Jensen. (2014). Interwell connectivity evaluation in cases of changing skin and frequent production interruptions. Journal of Petroleum Science and Engineering. 122. 616–630. 39 indexed citations
2.
Ghaderi, Seyyed M., Christopher R. Clarkson, & Danial Kaviani. (2013). Investigation of Primary Recovery in Low-Permeability Oil Formations: A Look at the Cardium Formation, Alberta (Canada). Oil & Gas Science and Technology – Revue d’IFP Energies nouvelles. 69(7). 1155–1170. 4 indexed citations
3.
Nobakht, Morteza, Christopher R. Clarkson, & Danial Kaviani. (2012). New and Improved Methods for Performing Rate-Transient Analysis of Shale Gas Reservoirs. SPE Reservoir Evaluation & Engineering. 15(3). 335–350. 64 indexed citations
4.
5.
Kaviani, Danial, Jerry L. Jensen, & Larry W. Lake. (2012). Estimation of interwell connectivity in the case of unmeasured fluctuating bottomhole pressures. Journal of Petroleum Science and Engineering. 90-91. 79–95. 72 indexed citations
6.
Nobakht, Morteza, Christopher R. Clarkson, & Danial Kaviani. (2012). New type curves for analyzing horizontal well with multiple fractures in shale gas reservoirs. Journal of Natural Gas Science and Engineering. 10. 99–112. 55 indexed citations
7.
Clarkson, Christopher R., Morteza Nobakht, Danial Kaviani, & Apostolos Kantzas. (2012). Use of Pressure- and Rate-Transient Techniques for Analyzing Core Permeability Tests for Unconventional Reservoirs. 9 indexed citations
8.
Clarkson, Christopher R., et al.. (2011). New and Improved Methods for Performing Rate-Transient Analysis of Shale Gas Reservoirs. SPE Asia Pacific Oil and Gas Conference and Exhibition. 56 indexed citations
9.
Clarkson, Christopher R., et al.. (2011). Production Analysis of Tight Gas and Shale Gas Reservoirs Using the Dynamic-Slippage Concept. 35 indexed citations
10.
Ghaderi, Seyyed M., Christopher R. Clarkson, & Danial Kaviani. (2011). Investigation of Primary Recovery in Tight Oil Formations: A Look at the Cardium Formation, Alberta. 9 indexed citations
11.
Nobakht, Morteza, C. R. Clarkson, & Danial Kaviani. (2011). New Type Curves for Analyzing Horizontal Well With Multiple Fractures in Shale Gas Reservoirs. 19 indexed citations
12.
Kaviani, Danial, Peter P. Valkó, & Jerry L. Jensen. (2011). Analysis of Injection and Production Data for Open and Large Reservoirs. Energies. 4(11). 1950–1972. 7 indexed citations
13.
Kaviani, Danial, Peter P. Valkó, & Jerry L. Jensen. (2010). Application of the Multiwell Productivity Index-Based Method to Evaluate Interwell Connectivity. SPE Improved Oil Recovery Symposium. 12 indexed citations
14.
Kaviani, Danial, Peter P. Valkó, & Jerry L. Jensen. (2010). Application of the Multiwell Productivity Index-Based Method to Evaluate Interwell Connectivity. 6 indexed citations
15.
Kaviani, Danial & Peter P. Valkó. (2010). Inferring interwell connectivity using multiwell productivity index (MPI). Journal of Petroleum Science and Engineering. 73(1-2). 48–58. 27 indexed citations
16.
17.
Kaviani, Danial, et al.. (2008). The Application of Artificial Neural Networks With Small Data Sets: An Example for Analysis of Fracture Spacing in the Lisburne Formation, Northeastern Alaska. SPE Reservoir Evaluation & Engineering. 11(3). 598–605. 14 indexed citations
18.
Kaviani, Danial, Jerry L. Jensen, Larry W. Lake, & Mashhad Fahes. (2008). Estimation of Interwell Connectivity in the Case of Fluctuating Bottomhole Pressures. Abu Dhabi International Petroleum Exhibition and Conference. 18 indexed citations
19.
Kaviani, Danial, et al.. (2006). The Application of Artificial Neural Networks With Small Data Sets: AnExample for Analysis of Fracture Spacing in the Lisburne Formation,Northeastern Alaska. Proceedings of SPE Annual Technical Conference and Exhibition. 1 indexed citations
20.

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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