Charles D. Gorecki

2.3k total citations
89 papers, 1.9k citations indexed

About

Charles D. Gorecki is a scholar working on Environmental Engineering, Ocean Engineering and Mechanics of Materials. According to data from OpenAlex, Charles D. Gorecki has authored 89 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 62 papers in Environmental Engineering, 50 papers in Ocean Engineering and 28 papers in Mechanics of Materials. Recurrent topics in Charles D. Gorecki's work include CO2 Sequestration and Geologic Interactions (62 papers), Enhanced Oil Recovery Techniques (32 papers) and Reservoir Engineering and Simulation Methods (29 papers). Charles D. Gorecki is often cited by papers focused on CO2 Sequestration and Geologic Interactions (62 papers), Enhanced Oil Recovery Techniques (32 papers) and Reservoir Engineering and Simulation Methods (29 papers). Charles D. Gorecki collaborates with scholars based in United States, United Kingdom and Netherlands. Charles D. Gorecki's co-authors include John A. Harju, Steven B. Hawthorne, Edward N. Steadman, James A. Sorensen, Lu Jin, Wesley Peck, David J. Miller, Scott C. Ayash, John Hamling and Nicholas W. Bosshart and has published in prestigious journals such as Environmental Science & Technology, Applied Energy and Fuel.

In The Last Decade

Charles D. Gorecki

88 papers receiving 1.8k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Charles D. Gorecki United States 23 1.2k 969 969 960 180 89 1.9k
Dustin Crandall United States 27 1.1k 0.9× 855 0.9× 1.2k 1.2× 984 1.0× 94 0.5× 127 2.0k
Bo Ren United States 26 1.1k 0.9× 587 0.6× 918 0.9× 762 0.8× 63 0.3× 69 1.7k
James A. Sorensen United States 19 938 0.8× 846 0.9× 506 0.5× 742 0.8× 112 0.6× 67 1.3k
John A. Harju United States 18 846 0.7× 715 0.7× 548 0.6× 676 0.7× 109 0.6× 66 1.3k
Edward N. Steadman United States 18 801 0.6× 634 0.7× 554 0.6× 635 0.7× 101 0.6× 59 1.3k
Furqan Hussain Australia 27 1.5k 1.2× 840 0.9× 749 0.8× 940 1.0× 53 0.3× 80 1.8k
Bao Jia United States 17 834 0.7× 818 0.8× 411 0.4× 619 0.6× 102 0.6× 55 1.3k
Guodong Cui China 27 930 0.7× 793 0.8× 917 0.9× 788 0.8× 80 0.4× 63 1.9k
Junping Zhou China 28 1.4k 1.1× 1.9k 1.9× 991 1.0× 1.2k 1.3× 334 1.9× 85 2.4k
Jyun‐Syung Tsau United States 20 1.2k 1.0× 978 1.0× 567 0.6× 803 0.8× 95 0.5× 78 1.7k

Countries citing papers authored by Charles D. Gorecki

Since Specialization
Citations

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

Fields of papers citing papers by Charles D. Gorecki

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Charles D. Gorecki. 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 Charles D. Gorecki. The network helps show where Charles D. Gorecki may publish in the future.

Co-authorship network of co-authors of Charles D. Gorecki

This figure shows the co-authorship network connecting the top 25 collaborators of Charles D. Gorecki. A scholar is included among the top collaborators of Charles D. Gorecki 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 Charles D. Gorecki. Charles D. Gorecki 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.
Dalkhaa, Chantsalmaa, Nicholas A. Azzolina, Bethany A. Kurz, et al.. (2022). Refracturing in the Bakken - An Analysis of Data from Across North Dakota. UND Scholarly Commons (University of North Dakota). 2 indexed citations
2.
Haeri, Foad, Evgeniy M. Myshakin, Sean Sanguinito, et al.. (2022). Simulated CO2 storage efficiency factors for saline formations of various lithologies and depositional environments using new experimental relative permeability data. International journal of greenhouse gas control. 119. 103720–103720. 17 indexed citations
3.
Jin, Lu, et al.. (2021). Joint impedance and facies inversion of time-lapse seismic data for improving monitoring of CO2 incidentally stored from CO2 EOR. International journal of greenhouse gas control. 112. 103501–103501. 10 indexed citations
4.
Jin, Lu, et al.. (2020). Integrated simulation to seismic and seismic reservoir characterization in a CO2 EOR monitoring application. The Leading Edge. 39(9). 668–678. 12 indexed citations
5.
Peck, Wesley, et al.. (2019). The North Dakota integrated carbon storage complex feasibility study. International journal of greenhouse gas control. 84. 47–53. 14 indexed citations
7.
Jin, Lu, et al.. (2018). Implementing adaptive scaling and dynamic well-tie for quantitative 4-D seismic evaluation of a reservoir subjected to CO2 enhanced oil recovery and associated storage. International journal of greenhouse gas control. 78. 306–326. 14 indexed citations
8.
Jin, Lu, Lawrence Pekot, Steven B. Hawthorne, et al.. (2018). Evaluation of recycle gas injection on CO2 enhanced oil recovery and associated storage performance. International journal of greenhouse gas control. 75. 151–161. 39 indexed citations
9.
Azzolina, Nicholas A., et al.. (2018). Lessons learned and best practices derived from environmental monitoring at a large-scale CO2 injection project. International journal of greenhouse gas control. 78. 254–270. 2 indexed citations
10.
Jin, Lu, Steven B. Hawthorne, James A. Sorensen, et al.. (2017). Advancing CO2 enhanced oil recovery and storage in unconventional oil play—Experimental studies on Bakken shales. Applied Energy. 208. 171–183. 229 indexed citations
11.
Azzolina, Nicholas A., John Hamling, Wesley Peck, et al.. (2017). A Life Cycle Analysis of Incremental Oil Produced via CO2 EOR. Energy Procedia. 114. 6588–6596. 28 indexed citations
12.
Hamling, John, et al.. (2016). Feasibility of the Scalable, Automated, Semipermanent Seismic Array (SASSA) to Monitor Possible Carbon Dioxide Migration. AGU Fall Meeting Abstracts. 2016. 1 indexed citations
13.
Hawthorne, Steven B., David J. Miller, Lu Jin, & Charles D. Gorecki. (2016). Rapid and Simple Capillary-Rise/Vanishing Interfacial Tension Method To Determine Crude Oil Minimum Miscibility Pressure: Pure and Mixed CO2, Methane, and Ethane. Energy & Fuels. 30(8). 6365–6372. 99 indexed citations
14.
Gorecki, Charles D., et al.. (2014). A Workflow to Determine CO2 Storage Potential in Deep Saline Formations. Energy Procedia. 63. 5231–5238. 9 indexed citations
16.
Hamling, John, et al.. (2013). Overview of the Bell Creek Combined CO2 Storage and CO2 Enhanced Oil Recovery Project. Energy Procedia. 37. 6402–6411. 11 indexed citations
17.
Gorecki, Charles D., et al.. (2012). A Risk-Based Monitoring Plan for the Fort Nelson Feasibility Project. 3 indexed citations
19.
Sorensen, James A., Steven A. Smith, Charles D. Gorecki, et al.. (2009). CO2 storage capacity estimates for stacked brine-saturated formations in the North Dakota portion of the Williston Basin. Energy Procedia. 1(1). 2833–2840. 3 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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