Archibong Archibong-Eso

496 total citations
30 papers, 381 citations indexed

About

Archibong Archibong-Eso is a scholar working on Biomedical Engineering, Mechanical Engineering and Ocean Engineering. According to data from OpenAlex, Archibong Archibong-Eso has authored 30 papers receiving a total of 381 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Biomedical Engineering, 14 papers in Mechanical Engineering and 12 papers in Ocean Engineering. Recurrent topics in Archibong Archibong-Eso's work include Fluid Dynamics and Mixing (19 papers), Reservoir Engineering and Simulation Methods (7 papers) and Heat Transfer and Boiling Studies (6 papers). Archibong Archibong-Eso is often cited by papers focused on Fluid Dynamics and Mixing (19 papers), Reservoir Engineering and Simulation Methods (7 papers) and Heat Transfer and Boiling Studies (6 papers). Archibong Archibong-Eso collaborates with scholars based in United Kingdom, Nigeria and United Arab Emirates. Archibong Archibong-Eso's co-authors include Aliyu M. Aliyu, Yahaya D. Baba, Hoi Yeung, Liyun Lao, Wei Yan, M. Abdulkadir, Anselm I. Igbafe, Kyung Chun Kim, Fidelis I. Abam and Sinemobong Essien and has published in prestigious journals such as SHILAP Revista de lepidopterología, Chemical Engineering Science and Energies.

In The Last Decade

Archibong Archibong-Eso

29 papers receiving 377 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Archibong Archibong-Eso United Kingdom 12 254 163 154 108 40 30 381
O.J. Nydal Norway 10 351 1.4× 231 1.4× 133 0.9× 141 1.3× 79 2.0× 30 449
Mohamed Bouzit Algeria 14 355 1.4× 47 0.3× 183 1.2× 263 2.4× 32 0.8× 75 516
Sara Vahaji Australia 11 160 0.6× 51 0.3× 172 1.1× 114 1.1× 20 0.5× 38 415
Lionel Pullum Australia 12 224 0.9× 97 0.6× 150 1.0× 324 3.0× 94 2.4× 32 568
Peyman Zahedi United States 12 249 1.0× 295 1.8× 306 2.0× 332 3.1× 20 0.5× 22 766
Stuart Scott United States 11 105 0.4× 271 1.7× 157 1.0× 40 0.4× 17 0.4× 28 392
Cláudia Míriam Scheid Brazil 13 52 0.2× 333 2.0× 287 1.9× 73 0.7× 29 0.7× 61 491
Nabil Kharoua Algeria 15 284 1.1× 125 0.8× 318 2.1× 342 3.2× 43 1.1× 45 682
M. Evren Özbayoğlu Türkiye 14 98 0.4× 393 2.4× 383 2.5× 42 0.4× 30 0.8× 34 527
Hasan Alimoradi Iran 11 142 0.6× 40 0.2× 221 1.4× 83 0.8× 26 0.7× 14 348

Countries citing papers authored by Archibong Archibong-Eso

Since Specialization
Citations

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

Fields of papers citing papers by Archibong Archibong-Eso

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Archibong Archibong-Eso. 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 Archibong Archibong-Eso. The network helps show where Archibong Archibong-Eso may publish in the future.

Co-authorship network of co-authors of Archibong Archibong-Eso

This figure shows the co-authorship network connecting the top 25 collaborators of Archibong Archibong-Eso. A scholar is included among the top collaborators of Archibong Archibong-Eso 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 Archibong Archibong-Eso. Archibong Archibong-Eso 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.
Archibong-Eso, Archibong, et al.. (2025). Coupled Transport and Reaction Modeling of Sorbent Particle Size Effects in Nonisothermal Packed-Bed CO2 Adsorption. ACS Omega. 10(32). 35988–36002.
2.
Archibong-Eso, Archibong, et al.. (2025). Interface-driven human brain injury mechanisms in blast exposure: A fluid–structure interaction model. Medicine in Novel Technology and Devices. 27. 100381–100381. 1 indexed citations
3.
4.
Archibong-Eso, Archibong, et al.. (2024). FSI modeling and simulation of blood viscosity impacts on cavitation in mechanical heart valves. International Journal of Thermofluids. 24. 100962–100962. 2 indexed citations
5.
Archibong-Eso, Archibong, et al.. (2023). Mitigating Hydrogen Risks in Light-Water Nuclear Reactors: A CFD Simulation of the Distribution and Concentration. SHILAP Revista de lepidopterología. 4(4). 709–725. 3 indexed citations
6.
Archibong-Eso, Archibong, et al.. (2023). Machine Learning Models for Energy Prediction in a Low Carbon Building. SPE Nigeria Annual International Conference and Exhibition. 3 indexed citations
7.
8.
Archibong-Eso, Archibong, et al.. (2021). Particle-Transport Mechanism in Liquid/Liquid/Solid Multiphase Pipeline Flow of High-Viscosity Oil/Water/Sand. SPE Journal. 26(5). 2977–2992. 4 indexed citations
9.
Liao, Ruiquan, et al.. (2021). A Two-Fluid Model for High-Viscosity Upward Annular Flow in Vertical Pipes. Energies. 14(12). 3485–3485. 3 indexed citations
10.
Aliyu, Aliyu M., et al.. (2020). A Comparative Analysis of Upward and Downward Pressure Gradient Behaviour in Vertical Gas-Liquid Two-Phase Flows in a Large Diameter Pipe Facility. SPE Nigeria Annual International Conference and Exhibition. 2 indexed citations
11.
Aliyu, Aliyu M., et al.. (2019). Sand minimum transport conditions in gas–solid–liquid three-phase stratified flow in a horizontal pipe at low particle concentrations. Process Safety and Environmental Protection. 143. 114–126. 26 indexed citations
12.
Essien, Sinemobong, Archibong Archibong-Eso, & Liyun Lao. (2019). Discharge coefficient of high viscosity liquids through nozzles. Experimental Thermal and Fluid Science. 103. 1–8. 10 indexed citations
13.
Archibong-Eso, Archibong, et al.. (2019). Experimental Study on Sand Transport Characteristics in Horizontal and Inclined Two-Phase Solid-Liquid Pipe Flow. Journal of Pipeline Systems Engineering and Practice. 11(1). 27 indexed citations
14.
Baba, Yahaya D., et al.. (2019). Slug Translational Velocity for Highly Viscous Oil and Gas Flows in Horizontal Pipes. Fluids. 4(3). 170–170. 9 indexed citations
15.
Archibong-Eso, Archibong, Jing Shi, Yahaya D. Baba, et al.. (2018). High viscous oil–water two–phase flow: experiments & numerical simulations. Heat and Mass Transfer. 55(3). 755–767. 13 indexed citations
16.
Baba, Yahaya D., Aliyu M. Aliyu, Archibong Archibong-Eso, et al.. (2018). Slug length for high viscosity oil-gas flow in horizontal pipes: Experiments and prediction. Journal of Petroleum Science and Engineering. 165. 397–411. 35 indexed citations
17.
Archibong-Eso, Archibong, et al.. (2018). Estimating slug liquid holdup in high viscosity oil-gas two-phase flow. Flow Measurement and Instrumentation. 65. 22–32. 19 indexed citations
18.
Baba, Yahaya D., et al.. (2017). Slug frequency in high viscosity oil-gas two-phase flow: Experiment and prediction. Flow Measurement and Instrumentation. 54. 109–123. 29 indexed citations
19.
Baba, Yahaya D., et al.. (2017). Study of high viscous multiphase phase flow in a horizontal pipe. Heat and Mass Transfer. 54(3). 651–669. 26 indexed citations
20.
Archibong-Eso, Archibong, et al.. (2014). Comparison of electrical capacitance tomography & gamma densitometer measurement in viscous oil-gas flows. AIP conference proceedings. 81–89. 6 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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