John Killough

4.1k total citations · 1 hit paper
161 papers, 3.4k citations indexed

About

John Killough is a scholar working on Ocean Engineering, Mechanical Engineering and Mechanics of Materials. According to data from OpenAlex, John Killough has authored 161 papers receiving a total of 3.4k indexed citations (citations by other indexed papers that have themselves been cited), including 120 papers in Ocean Engineering, 110 papers in Mechanical Engineering and 61 papers in Mechanics of Materials. Recurrent topics in John Killough's work include Hydraulic Fracturing and Reservoir Analysis (108 papers), Reservoir Engineering and Simulation Methods (60 papers) and Hydrocarbon exploration and reservoir analysis (54 papers). John Killough is often cited by papers focused on Hydraulic Fracturing and Reservoir Analysis (108 papers), Reservoir Engineering and Simulation Methods (60 papers) and Hydrocarbon exploration and reservoir analysis (54 papers). John Killough collaborates with scholars based in United States, China and Qatar. John Killough's co-authors include Yuhe Wang, Bicheng Yan, Hewei Tang, Cheng An, Masoud Alfi, Hongqing Song, Zhi Chai, Xuyang Guo, María A. Barrufet and Jingwei Huang and has published in prestigious journals such as Journal of the American Chemical Society, Water Resources Research and Chemical Engineering Journal.

In The Last Decade

John Killough

160 papers receiving 3.2k citations

Hit Papers

Reservoir Simulation With History-Dependent Saturation Fu... 1976 2026 1992 2009 1976 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
John Killough United States 32 2.5k 2.2k 1.4k 658 414 161 3.4k
Maša Prodanović United States 35 2.6k 1.1× 1.5k 0.7× 1.9k 1.3× 773 1.2× 305 0.7× 151 3.9k
S. Bakke Norway 15 2.4k 1.0× 1.2k 0.6× 1.8k 1.2× 634 1.0× 265 0.6× 28 2.9k
Peter P. Valkó United States 30 2.0k 0.8× 2.0k 0.9× 718 0.5× 319 0.5× 196 0.5× 149 3.6k
Hossein Kazemi United States 36 4.9k 2.0× 5.0k 2.3× 2.5k 1.7× 1.5k 2.3× 828 2.0× 247 6.8k
Faruk O. Alpak United States 24 1.4k 0.6× 987 0.4× 649 0.4× 341 0.5× 388 0.9× 157 2.2k
T. S. Ramakrishnan United States 24 1.2k 0.5× 874 0.4× 586 0.4× 723 1.1× 336 0.8× 99 2.1k
C. Zarcone France 16 2.3k 0.9× 1.2k 0.5× 1.1k 0.7× 1.3k 2.0× 181 0.4× 21 3.4k
T. A. Blasingame United States 41 4.4k 1.8× 4.5k 2.0× 2.1k 1.5× 586 0.9× 484 1.2× 206 5.4k
I. Yücel Akkutlu United States 34 3.0k 1.2× 2.4k 1.1× 4.2k 2.9× 589 0.9× 241 0.6× 113 4.9k
Turgay Ertekin United States 30 3.2k 1.3× 2.5k 1.1× 1.7k 1.2× 429 0.7× 244 0.6× 219 3.7k

Countries citing papers authored by John Killough

Since Specialization
Citations

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

Fields of papers citing papers by John Killough

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of John Killough

This figure shows the co-authorship network connecting the top 25 collaborators of John Killough. A scholar is included among the top collaborators of John Killough 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 John Killough. John Killough 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.
Killough, John, et al.. (2021). Transient Temperature Impact on Deep Reservoir Fracturing. Geofluids. 2021. 1–9. 7 indexed citations
2.
Huang, Jingwei, et al.. (2020). Effect of vertical heterogeneity and nano-confinement on the recovery performance of oil-rich shale reservoir. Fuel. 267. 117199–117199. 14 indexed citations
3.
Huang, Jingwei, et al.. (2019). Compositional simulation of three-phase flow in mixed-wet shale oil reservoir. Fuel. 260. 116361–116361. 40 indexed citations
4.
Huang, Jingwei, et al.. (2019). Evaluation of CO2 injection into shale gas reservoirs considering dispersed distribution of kerogen. Applied Energy. 260. 114285–114285. 45 indexed citations
5.
Huang, Jingwei, Xiaolong Yin, & John Killough. (2019). Thermodynamic consistency of a pseudopotential lattice Boltzmann fluid with interface curvature. Physical review. E. 100(5). 53304–53304. 18 indexed citations
6.
Tang, Hewei, Zhuang Sun, Youwei He, et al.. (2019). Investigating the pressure characteristics and production performance of liquid-loaded horizontal wells in unconventional gas reservoirs. Journal of Petroleum Science and Engineering. 176. 456–465. 40 indexed citations
7.
Tang, Hewei, A. R. Hasan, & John Killough. (2018). Development and Application of a Fully Implicitly Coupled Wellbore/Reservoir Simulator To Characterize the Transient Liquid Loading in Horizontal Gas Wells. SPE Journal. 23(5). 1615–1629. 26 indexed citations
8.
Tang, Hewei, et al.. (2018). Modeling wellbore heat exchangers: Fully numerical to fully analytical solutions. Renewable Energy. 133. 1124–1135. 33 indexed citations
9.
Guo, Xuyang, Hongqing Song, Kan Wu, & John Killough. (2017). Pressure characteristics and performance of multi-stage fractured horizontal well in shale gas reservoirs with coupled flow and geomechanics. Journal of Petroleum Science and Engineering. 163. 1–15. 29 indexed citations
10.
An, Cheng, Yi Fang, Masoud Alfi, et al.. (2017). Impacts of Matrix Shrinkage and Stress Changes on Permeability and Gas Production of Organic-Rich Shale Reservoirs. SPE Reservoir Characterisation and Simulation Conference and Exhibition. 24 indexed citations
11.
An, Cheng, Bicheng Yan, Masoud Alfi, et al.. (2017). Estimating spatial distribution of natural fractures by changing NMR T2 relaxation with magnetic nanoparticles. Journal of Petroleum Science and Engineering. 157. 273–287. 21 indexed citations
12.
Song, Hongqing, et al.. (2016). Analytical modeling of gas production rate in tight channel sand formation and optimization of artificial fracture. SpringerPlus. 5(1). 540–540. 5 indexed citations
13.
Yan, Bicheng, Yuhe Wang, & John Killough. (2015). Beyond dual-porosity modeling for the simulation of complex flow mechanisms in shale reservoirs. Computational Geosciences. 20(1). 69–91. 111 indexed citations
14.
Alfi, Masoud, Bicheng Yan, Yang Cao, et al.. (2015). Microscale porosity models as powerful tools to analyze hydrocarbon production mechanisms in liquid shale. Journal of Natural Gas Science and Engineering. 26. 1495–1505. 26 indexed citations
15.
Yan, Bicheng, Masoud Alfi, Yuhe Wang, & John Killough. (2013). A New Approach for the Simulation of Fluid Flow in Unconventional Reservoirs through Multiple Permeability Modeling. SPE Annual Technical Conference and Exhibition. 49 indexed citations
16.
Wang, Yuhe, Bicheng Yan, & John Killough. (2013). Compositional Modeling of Tight Oil Using Dynamic Nanopore Properties. SPE Annual Technical Conference and Exhibition. 84 indexed citations
17.
Yan, Bicheng, Yuhe Wang, & John Killough. (2013). Beyond Dual-Porosity Modeling for the Simulation of Complex Flow Mechanisms in Shale Reservoirs. 56 indexed citations
20.
Killough, John, et al.. (1982). The Prudhoe Bay Field: Simulation of a Complex Reservoir. 13 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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