Raymond Ambrose

1.3k total citations · 1 hit paper
16 papers, 1.1k citations indexed

About

Raymond Ambrose is a scholar working on Ocean Engineering, Mechanical Engineering and Mechanics of Materials. According to data from OpenAlex, Raymond Ambrose has authored 16 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Ocean Engineering, 11 papers in Mechanical Engineering and 9 papers in Mechanics of Materials. Recurrent topics in Raymond Ambrose's work include Hydraulic Fracturing and Reservoir Analysis (11 papers), Reservoir Engineering and Simulation Methods (10 papers) and Hydrocarbon exploration and reservoir analysis (9 papers). Raymond Ambrose is often cited by papers focused on Hydraulic Fracturing and Reservoir Analysis (11 papers), Reservoir Engineering and Simulation Methods (10 papers) and Hydrocarbon exploration and reservoir analysis (9 papers). Raymond Ambrose collaborates with scholars based in United States, Canada and Switzerland. Raymond Ambrose's co-authors include Carl Sondergeld, Chandra Rai, Mark E. Curtis, R. C. Hartman, I. Yücel Akkutlu, Kamy Sepehrnoori, Wei Yu, Christopher R. Clarkson, Morteza Nobakht and Jijun Miao and has published in prestigious journals such as Energy & Fuels, AAPG Bulletin and Journal of Petroleum Science and Engineering.

In The Last Decade

Raymond Ambrose

16 papers receiving 1.0k citations

Hit Papers

align trajectories sort by overperformance

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Microstructural investigation of gas shales in two and three dimensions using nanometer-scale resolution imaging

2012 604 citations Mark E. Curtis, Carl Sondergeld et al. AAPG Bulletin profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Raymond Ambrose United States	12	897	658	567	220	153	16	1.1k
Mianmo Meng China	19	1.2k 1.3×	851 1.3×	689 1.2×	216 1.0×	230 1.5×	53	1.3k
Xinhe Shao China	13	814 0.9×	440 0.7×	382 0.7×	133 0.6×	207 1.4×	22	881
Fangwen Chen China	17	988 1.1×	504 0.8×	323 0.6×	273 1.2×	211 1.4×	58	1.1k
He Bi China	13	663 0.7×	390 0.6×	247 0.4×	156 0.7×	131 0.9×	24	716
Yujie Yuan Australia	16	790 0.9×	466 0.7×	421 0.7×	106 0.5×	271 1.8×	42	989
Qiyang Gou China	12	684 0.8×	377 0.6×	285 0.5×	168 0.8×	102 0.7×	30	746
Baiqiao Zhang China	13	705 0.8×	379 0.6×	278 0.5×	203 0.9×	86 0.6×	19	761
Jianzhong Li China	15	812 0.9×	415 0.6×	313 0.6×	203 0.9×	69 0.5×	23	963
Nisael Solano Canada	8	1.6k 1.8×	1.1k 1.7×	717 1.3×	327 1.5×	336 2.2×	13	1.7k
Ziyuan Wang China	6	718 0.8×	444 0.7×	391 0.7×	72 0.3×	213 1.4×	11	823

Countries citing papers authored by Raymond Ambrose

Since Specialization

Citations

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

Fields of papers citing papers by Raymond Ambrose

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Raymond Ambrose

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

All Works

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16 of 16 papers shown

Sepehrnoori, Kamy, et al.. (2021). In situ fluid and injection gas compatibility of huff-n-puff gas EOR in a low-permeability shale-sand-carbonate reservoir. Journal of Petroleum Science and Engineering. 208. 109587–109587. 5 indexed citations

Sepehrnoori, Kamy, et al.. (2020). A Field Pilot of Huff-n-Puff Gas Injection for Enhanced Oil Recovery in Permian Basin. SPE Annual Technical Conference and Exhibition. 10 indexed citations

Yu, Wei, et al.. (2020). Assisted History Matching using Bayesian Inference: Application to Multi-Well Simulation of a Huff-n-Puff Pilot Test in the Permian Basin. Proceedings of the 8th Unconventional Resources Technology Conference. 5 indexed citations

Whitson, Curtis H., et al.. (2020). Compositional Tracking of a Huff-n-Puff Project in the Eagle Ford: A Second Take. Proceedings of the 8th Unconventional Resources Technology Conference. 15 indexed citations

Sepehrnoori, Kamy, et al.. (2020). Optimization of Huff-n-Puff Field Gas Enhanced Oil Recovery through a Vertical Well with Multiple Fractures in a Low-Permeability Shale–Sand–Carbonate Reservoir. Energy & Fuels. 34(11). 13822–13836. 9 indexed citations

Ambrose, Raymond, et al.. (2020). Use of Reservoir Simulation to Forecast Field EOR Response - An Eagle Ford Gas Injection Huff-N-Puff Application. SPE Hydraulic Fracturing Technology Conference and Exhibition. 21 indexed citations

Yu, Wei, et al.. (2019). Modeling Interwell Fracture Interference and Huff-N-Puff Pressure Containment in Eagle Ford Using EDFM. 21 indexed citations

Yu, Wei, et al.. (2019). Modeling Interwell Interference Due to Complex Fracture Hits in Eagle Ford Using EDFM. International Petroleum Technology Conference. 31 indexed citations

Yu, Wei, et al.. (2019). Gas Injection EOR in Eagle Ford Shale Gas Condensate Reservoirs. Proceedings of the 7th Unconventional Resources Technology Conference. 21 indexed citations

10.

Yu, Wei, et al.. (2019). Huff-N-Puff Gas Injection for Enhanced Condensate Recovery in Eagle Ford. SPE Annual Technical Conference and Exhibition. 18 indexed citations

11.

Nobakht, Morteza, et al.. (2013). Effect of Completion Heterogeneity in a Horizontal Well With Multiple Fractures on the Long-Term Forecast in Shale-Gas Reservoirs. Journal of Canadian Petroleum Technology. 52(6). 417–425. 24 indexed citations

12.

Curtis, Mark E., Carl Sondergeld, Raymond Ambrose, & Chandra Rai. (2012). Microstructural investigation of gas shales in two and three dimensions using nanometer-scale resolution imaging. AAPG Bulletin. 96(4). 665–677. 604 indexed citations breakdown →

13.

Ambrose, Raymond. (2011). MICRO-STRUCTURE OF GAS SHALES AND ITS EFFECTS ON GAS STORAGE AND PRODUCTION PERFORMANCE. SHAREOK (University of Oklahoma; Oklahoma State University; Central Oklahoma University). 15 indexed citations

14.

Nobakht, Morteza, Raymond Ambrose, & Christopher R. Clarkson. (2011). Effect of Heterogeneity in a Horizontal Well With Multiple Fractures on the Long-Term Forecast in Shale Gas Reservoirs. 23 indexed citations

15.

Sondergeld, Carl, et al.. (2010). Micro-Structural Studies of Gas Shales. 125 indexed citations

16.

Ambrose, Raymond, et al.. (2010). New Pore-scale Considerations for Shale Gas in Place Calculations. 112 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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