Luis E. Zerpa

2.2k total citations
80 papers, 1.7k citations indexed

About

Luis E. Zerpa is a scholar working on Ocean Engineering, Environmental Chemistry and Aerospace Engineering. According to data from OpenAlex, Luis E. Zerpa has authored 80 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 59 papers in Ocean Engineering, 52 papers in Environmental Chemistry and 33 papers in Aerospace Engineering. Recurrent topics in Luis E. Zerpa's work include Methane Hydrates and Related Phenomena (52 papers), Offshore Engineering and Technologies (33 papers) and Spacecraft and Cryogenic Technologies (32 papers). Luis E. Zerpa is often cited by papers focused on Methane Hydrates and Related Phenomena (52 papers), Offshore Engineering and Technologies (33 papers) and Spacecraft and Cryogenic Technologies (32 papers). Luis E. Zerpa collaborates with scholars based in United States, Australia and Venezuela. Luis E. Zerpa's co-authors include Carolyn A. Koh, Amadeu K. Sum, E. Dendy Sloan, Jean‐Louis Salager, Néstor V. Queipo, Salvador Pintos, Ishan Rao, Zachary M. Aman, Giovanny Grasso and Sanjeev Joshi and has published in prestigious journals such as SHILAP Revista de lepidopterología, Fuel and Industrial & Engineering Chemistry Research.

In The Last Decade

Luis E. Zerpa

73 papers receiving 1.6k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Luis E. Zerpa United States 20 1.1k 645 625 411 365 80 1.7k
Wuchang Wang China 23 789 0.7× 345 0.5× 513 0.8× 413 1.0× 288 0.8× 79 1.4k
Shangfei Song China 22 869 0.8× 415 0.6× 423 0.7× 406 1.0× 343 0.9× 75 1.4k
Jian Hou China 30 1.1k 1.1× 929 1.4× 261 0.4× 1.2k 3.0× 343 0.9× 157 2.5k
Mehran Pooladi‐Darvish Canada 27 860 0.8× 1.1k 1.7× 107 0.2× 1.0k 2.5× 357 1.0× 60 2.7k
Shuxia Li China 27 1.2k 1.1× 253 0.4× 265 0.4× 1.0k 2.5× 351 1.0× 131 2.1k
Paulo L.C. Lage Brazil 23 171 0.2× 220 0.3× 152 0.2× 140 0.3× 108 0.3× 92 1.5k
Qing Yuan China 12 695 0.7× 89 0.1× 203 0.3× 426 1.0× 361 1.0× 32 955
Bailian Chen United States 25 182 0.2× 1.4k 2.1× 53 0.1× 369 0.9× 93 0.3× 77 2.0k
Bohui Shi China 24 1.4k 1.4× 514 0.8× 702 1.1× 633 1.5× 560 1.5× 93 1.8k
Yong Sun China 26 207 0.2× 1.3k 2.0× 171 0.3× 1.2k 2.9× 38 0.1× 107 2.0k

Countries citing papers authored by Luis E. Zerpa

Since Specialization
Citations

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

Fields of papers citing papers by Luis E. Zerpa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Luis E. Zerpa. 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 Luis E. Zerpa. The network helps show where Luis E. Zerpa may publish in the future.

Co-authorship network of co-authors of Luis E. Zerpa

This figure shows the co-authorship network connecting the top 25 collaborators of Luis E. Zerpa. A scholar is included among the top collaborators of Luis E. Zerpa 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 Luis E. Zerpa. Luis E. Zerpa 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.
Brock, Christopher, et al.. (2025). Development and Field Application of a Flow Pattern Dependent Gas Hydrate Kinetics and Transportability Model for Transient Multiphase Flow. Energy & Fuels. 39(11). 5188–5198. 1 indexed citations
2.
3.
Zerpa, Luis E., et al.. (2025). A Framework to Improve Gas Hydrate Management Strategies in Transient Operations of Subsea Production Systems. Energy & Fuels. 39(8). 3787–3798. 1 indexed citations
4.
Zerpa, Luis E., et al.. (2025). Physics-Informed Machine Learning Model for Real-Time Downhole Temperature Monitoring in HPHT and Geothermal Drilling. SPE Annual Technical Conference and Exhibition.
5.
Zerpa, Luis E., et al.. (2024). Natural gas storage in hydrates in the presence of thermodynamic hydrate promoters: Review and experimental investigation. Fluid Phase Equilibria. 591. 114286–114286. 8 indexed citations
6.
Kazemi, H., et al.. (2024). Enhanced Oil Recovery Techniques in Low Permeability Unconventional Shale Reservoirs. First Break. 42(9). 79–88.
7.
Zerpa, Luis E., et al.. (2024). On the Feasibility of Deep Geothermal Wells Using Numerical Reservoir Simulation. Processes. 12(7). 1369–1369.
8.
Imhof, Matthias G., et al.. (2024). A Reservoir Modeling Study for the Evaluation of CO2 Storage Upscaling at the Decatur Site in the Eastern Illinois Basin. Energies. 17(5). 1212–1212. 4 indexed citations
9.
Zerpa, Luis E., et al.. (2023). A NEW PREDICTIVE THERMODYNAMIC MODEL OF PARAFFIN FORMATION WITH THE CALCULATION OF THE MATHEMATICAL ORIGIN OF THE POYNTING CORRECTION FACTOR. NEWS of National Academy of Sciences of the Republic of Kazakhstan. 3(459). 96–107. 1 indexed citations
10.
Delgado‐Linares, José G., Ahmad A. A. Majid, Luis E. Zerpa, & Carolyn A. Koh. (2021). Reducing THI Injection and Gas Hydrate Agglomeration by Under-Inhibition of Crude Oil Systems. Offshore Technology Conference. 6 indexed citations
11.
Qin, Hao, Yan Wang, Luis E. Zerpa, et al.. (2020). Predicting Hydrate Plugging Risk in Oil Dominated Systems using a Transient Hydrate Film Growth Prediction Tool. Offshore Technology Conference. 5 indexed citations
12.
Majid, Ahmad A. A., Jonathan D. Wells, Mayela Rivero, et al.. (2020). Study of Hydrate Anti-Agglomerant Dosage Effectiveness in a High-Pressure Stirred Autoclave Equipped with Particle-Analysis Probes. SPE Journal. 26(3). 1200–1212. 5 indexed citations
13.
Wang, Yan, Subramanian Siva, Ahmad A. A. Majid, et al.. (2020). Changing the Hydrate Management Guidelines: From Benchtop Experiments to CSMHyK Field Simulations. Energy & Fuels. 34(11). 13523–13535. 11 indexed citations
14.
Delgado‐Linares, José G., et al.. (2019). Hydrate Agglomeration in Crude Oil Systems in Which the Asphaltene Aggregation State is Artificially Modified. Offshore Technology Conference. 4 indexed citations
15.
Zerpa, Luis E., Ishan Rao, Zachary M. Aman, et al.. (2013). Multiphase flow modeling of gas hydrates with a simple hydrodynamic slug flow model. Chemical Engineering Science. 99. 298–304. 65 indexed citations
16.
Rao, Ishan, Amadeu K. Sum, Carolyn A. Koh, E. Dendy Sloan, & Luis E. Zerpa. (2013). Multiphase Flow Modeling of Gas-Water-Hydrate Systems. Offshore Technology Conference. 10 indexed citations
17.
Zerpa, Luis E., E. Dendy Sloan, Carolyn A. Koh, & Amadeu K. Sum. (2012). Hydrate Risk Assessment and Restart-Procedure Optimization of an Offshore Well Using a Transient Hydrate Prediction Model. 1(5). 49–56. 32 indexed citations
18.
Zerpa, Luis E., et al.. (2008). An efficient response surface approach for the optimization of ASP flooding processes. Revista Tecnica De La Facultad De Ingenieria Universidad Del Zulia. 31. 50–60. 4 indexed citations
19.
Zerpa, Luis E., Néstor V. Queipo, Salvador Pintos, & Jean‐Louis Salager. (2005). An optimization methodology of alkaline–surfactant–polymer flooding processes using field scale numerical simulation and multiple surrogates. Journal of Petroleum Science and Engineering. 47(3-4). 197–208. 262 indexed citations
20.
Zerpa, Luis E., Néstor V. Queipo, & Jean‐Louis Salager. (2004). An Optimization Methodology of Alkaline-Surfactant-Polymer Flooding Processes Using Field Scale Numerical Simulation and Multiple Surrogates. SPE/DOE Symposium on Improved Oil Recovery. 9 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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