Nicholas A. Azzolina

1.2k total citations
44 papers, 895 citations indexed

About

Nicholas A. Azzolina is a scholar working on Ocean Engineering, Environmental Engineering and Mechanical Engineering. According to data from OpenAlex, Nicholas A. Azzolina has authored 44 papers receiving a total of 895 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Ocean Engineering, 17 papers in Environmental Engineering and 14 papers in Mechanical Engineering. Recurrent topics in Nicholas A. Azzolina's work include CO2 Sequestration and Geologic Interactions (14 papers), Reservoir Engineering and Simulation Methods (14 papers) and Hydraulic Fracturing and Reservoir Analysis (12 papers). Nicholas A. Azzolina is often cited by papers focused on CO2 Sequestration and Geologic Interactions (14 papers), Reservoir Engineering and Simulation Methods (14 papers) and Hydraulic Fracturing and Reservoir Analysis (12 papers). Nicholas A. Azzolina collaborates with scholars based in United States, Netherlands and Norway. Nicholas A. Azzolina's co-authors include Steven B. Hawthorne, Charles D. Gorecki, David V. Nakles, Wesley Peck, L. Stephen Melzer, Scott C. Ayash, Edward F. Neuhauser, Joseph P. Kreitinger, Donald I. Siegel and Ann E. Perry and has published in prestigious journals such as Environmental Science & Technology, Analytical Chemistry and Fuel.

In The Last Decade

Nicholas A. Azzolina

38 papers receiving 859 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Nicholas A. Azzolina United States	17	356	308	244	228	215	44	895
Kevin G. Mumford Canada	20	496 1.4×	235 0.8×	153 0.6×	114 0.5×	106 0.5×	69	923
Natalie J. Pekney United States	17	341 1.0×	104 0.3×	106 0.4×	596 2.6×	134 0.6×	34	1.1k
Mary Kay Camarillo United States	10	129 0.4×	102 0.3×	179 0.7×	94 0.4×	169 0.8×	20	687
Jeremy K. Domen United States	9	147 0.4×	99 0.3×	172 0.7×	97 0.4×	167 0.8×	14	649
Danqing Liu China	17	259 0.7×	170 0.6×	230 0.9×	45 0.2×	228 1.1×	45	719
Konstantinos Kostarelos United States	15	209 0.6×	253 0.8×	106 0.4×	97 0.4×	106 0.5×	46	640
Rongshu Zeng China	15	147 0.4×	376 1.2×	131 0.5×	139 0.6×	183 0.9×	38	1.0k
Stéfan Colombano France	17	291 0.8×	288 0.9×	102 0.4×	140 0.6×	54 0.3×	62	804
W. W. McNab United States	17	649 1.8×	194 0.6×	239 1.0×	80 0.4×	204 0.9×	39	1.1k
Claresta Joe-Wong United States	10	71 0.2×	71 0.2×	197 0.8×	125 0.5×	224 1.0×	18	532

Countries citing papers authored by Nicholas A. Azzolina

Since Specialization

Citations

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

Fields of papers citing papers by Nicholas A. Azzolina

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Nicholas A. Azzolina. 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 Nicholas A. Azzolina. The network helps show where Nicholas A. Azzolina may publish in the future.

Co-authorship network of co-authors of Nicholas A. Azzolina

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

All Works

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20 of 20 papers shown

Coleman, Margaret E., et al.. (2024). Trends in Burdens of Disease by Transmission Source (USA, 2005–2020) and Hazard Identification for Foods: Focus on Milkborne Disease. Journal of Epidemiology and Global Health. 14(3). 787–816.

Schmidt, Darren D., James A. Sorensen, Nicholas A. Azzolina, et al.. (2024). Investigating H2S Occurrence in Bakken Oil-Producing Wells Using Sulfur Isotopes in Gas, Water, and Rock Samples. UND Scholarly Commons (University of North Dakota).

Jin, Lu, Xue Yu, Nicholas A. Azzolina, et al.. (2024). Progress of Gas Injection EOR Surveillance in the Bakken Unconventional Play—Technical Review and Machine Learning Study. Energies. 17(17). 4200–4200. 1 indexed citations

Zhao, Jin, James A. Sorensen, Nicholas A. Azzolina, et al.. (2024). Field Implementation and Surveillance of Gas Injection Enhanced Oil Recovery in the Bakken. UND Scholarly Commons (University of North Dakota). 2 indexed citations

Hawthorne, Steven B., Lawrence Pekot, David J. Miller, et al.. (2023). Measured Sorption Isotherms for Bakken Petroleum System Shales Using Carbon Dioxide and Produced Gas Hydrocarbons at 110 °C and Pressures up to 34.5 MPa. Energy & Fuels. 37(15). 10970–10979.

Hawthorne, Steven B., et al.. (2023). Measured CO2 sorption isotherms with 25 Bakken Petroleum System rock samples from the Lower and Upper Shales, Middle Bakken, and Three Forks formations. International journal of greenhouse gas control. 127. 103930–103930. 1 indexed citations

Azzolina, Nicholas A., et al.. (2023). Data-driven Analysis for Causality of Parent–child Interactions in the Bakken. UND Scholarly Commons (University of North Dakota).

Tang, Hewei, Pengcheng Fu, Honggeun Jo, et al.. (2022). Deep learning-accelerated 3D carbon storage reservoir pressure forecasting based on data assimilation using surface displacement from InSAR. International journal of greenhouse gas control. 120. 103765–103765. 24 indexed citations

Yu, Xue, et al.. (2022). Machine learning-assisted upscaling analysis of reservoir rock core properties based on micro-computed tomography imagery. Journal of Petroleum Science and Engineering. 219. 111087–111087. 5 indexed citations

10.

Jin, Lu, et al.. (2022). Applying Reservoir Simulation and Artificial Intelligence Algorithms to Optimize Fracture Characterization and CO2 Enhanced Oil Recovery in Unconventional Reservoirs: A Case Study in the Wolfcamp Formation. Energies. 15(21). 8266–8266. 7 indexed citations

11.

Tang, Hewei, Pengcheng Fu, Honggeun Jo, et al.. (2022). Deep Learning-Accelerated 3d Carbon Storage Reservoir Pressure Forecasting Based on Data Assimilation Using Surface Displacement from Insar. SSRN Electronic Journal. 1 indexed citations

12.

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

13.

Azzolina, Nicholas A., et al.. (2018). Statistical analysis of pulsed-neutron well logs in monitoring injected carbon dioxide. International journal of greenhouse gas control. 75. 125–133.

14.

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

15.

Bosshart, Nicholas W., Nicholas A. Azzolina, Scott C. Ayash, et al.. (2017). Quantifying the effects of depositional environment on deep saline formation co2 storage efficiency and rate. International journal of greenhouse gas control. 69. 8–19. 18 indexed citations

16.

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

17.

Azzolina, Nicholas A., Wesley Peck, John Hamling, et al.. (2016). How green is my oil? A detailed look at greenhouse gas accounting for CO2-enhanced oil recovery (CO2-EOR) sites. International journal of greenhouse gas control. 51. 369–379. 72 indexed citations

18.

Hawthorne, Steven B., Michiel T. O. Jonker, Stephan A. van der Heijden, et al.. (2011). Measuring Picogram per Liter Concentrations of Freely Dissolved Parent and Alkyl PAHs (PAH-34), Using Passive Sampling with Polyoxymethylene. Analytical Chemistry. 83(17). 6754–6761. 81 indexed citations

19.

McDonough, Kathleen, Nicholas A. Azzolina, Steven B. Hawthorne, David V. Nakles, & Edward F. Neuhauser. (2010). An evaluation of the ability of chemical measurements to predict polycyclic aromatic hydrocarbon-contaminated sediment toxicity toHyalella azteca. Environmental Toxicology and Chemistry. 29(7). 1545–1550. 21 indexed citations

20.

Hawthorne, Steven B., Nicholas A. Azzolina, Edward F. Neuhauser, & Joseph P. Kreitinger. (2007). Predicting Bioavailability of Sediment Polycyclic Aromatic Hydrocarbons to Hyalella azteca using Equilibrium Partitioning, Supercritical Fluid Extraction, and Pore Water Concentrations. Environmental Science & Technology. 41(17). 6297–6304. 85 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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