Innovative Research Award
Marei Alqarni
King Khalid University,Saudi Arabia
| Marei Alqarni | |
|---|---|
| Affiliation | King Khalid University |
| Country | Saudi Arabia |
| Scopus | 57190292812 |
| Documents | 65 |
| Citations | 1,227 |
| h-index | 21 |
| Subject area | Reservoir Fluid Flow |
| Event | Petroleum Engineering Awards |
| ORCID | 0000-0001-8063-4449 |
Marei Alqarni is a researcher affiliated with King Khalid University in Saudi Arabia. The supplied bibliometric profile reports 65 documents, 1,227 citations and an h-index of 21. These indicators provide a quantitative overview of the researcher’s indexed scholarly output and citation record. The Innovative Research Award recognizes research contributions, originality and potential scientific impact within the scope of petroleum engineering and related disciplines. [1]
Contents
Abstract
This article presents a research profile for Marei Alqarni, affiliated with King Khalid University, Saudi Arabia, in the context of the Innovative Research Award. The supplied Scopus metrics indicate 65 indexed documents, 1,227 citations and an h-index of 21. Four supplied 2026 publication records cover computational thermal analysis, nonlinear wave equations, nanofluid heat transfer and fractional magnetohydrodynamic fluid flow. These records illustrate methodological breadth; their relevance to petroleum engineering should be assessed against the full research record. [1] [2] [3]
Keywords
Marei Alqarni; Innovative Research Award; King Khalid University; Saudi Arabia; reservoir fluid flow; computational modelling; heat transfer; nanofluids; magnetohydrodynamics; nonlinear equations; bibliometrics; petroleum engineering research.
Introduction
Research recognition considers the originality, technical quality, reproducibility and potential value of scholarly contributions. In petroleum engineering, reservoir-fluid research can support understanding of fluid movement, transport behaviour and production-related processes. Bibliometric indicators offer a useful descriptive measure of scholarly visibility but do not independently establish research quality, practical impact or award eligibility. A balanced assessment should consider the content of publications, methodological rigour and their relevance to the award’s stated criteria. [1] [5]
Research Profile
The supplied profile identifies Marei Alqarni with King Khalid University and lists reservoir fluid flow as the subject area. The reported Scopus record contains 65 documents, 1,227 citations and an h-index of 21. The associated ORCID identifier provides an additional researcher-identification reference. These details are based on the information supplied for this article and should be checked against the live author record before publication or formal evaluation. [1] [5]
Research Contributions
The four supplied publication records describe computational investigations of fin geometries and phase-change materials, nonlinear soliton solutions, thermally stable nanofluids in microvessels, and numerical and neural-network approaches to fractional fluid-flow oscillations. Together, these topics reflect mathematical modelling and computational approaches to transport and fluid phenomena. However, the records alone do not establish that each publication belongs to Alqarni’s personal bibliography or directly addresses reservoir fluid flow. Author attribution and disciplinary relevance require independent verification. [2] [3] [4] [5]
Publications
The supplied 2026 records span thermal engineering, nonlinear mathematical physics and computational fluid dynamics. Identifiable DOI links provide persistent routes to the corresponding publication records. The titles and bibliographic details below reproduce the information supplied; authorship, publication status and connection to the researcher’s profile should be confirmed before treating these works as verified publications by Marei Alqarni. [2] [3]
- A computational analysis of novel-shaped fin designs with nanoparticle-integrated phase change material.
- Diverse soliton solutions for nonlinear higher-order Sasa-Satsuma equation with its dynamical analysis.
Research Impact
The supplied bibliometric figures—1,227 citations and an h-index of 21—suggest that the indexed research record has received scholarly attention. Such metrics depend on database coverage, publication types, citation practices and the date of retrieval. They should therefore be interpreted alongside article-level quality, verified authorship, research originality and evidence of scientific or industrial application. No causal or practical impact can be established from citation counts alone. [1] [5]
Award Suitability
The reported research output and citation indicators provide relevant starting points for evaluating the profile for an Innovative Research Award. A rigorous review should verify the candidate’s authorship, identify contributions that demonstrate originality, and assess their alignment with the award’s eligibility rules and petroleum engineering scope. The supplied publication titles indicate several computational and fluid-related research themes, but further evidence is needed to determine their direct relevance to reservoir engineering and the candidate’s individual contribution. The award organizer’s published criteria should guide the final decision. [1] [5]
Conclusion
Marei Alqarni’s supplied profile records an affiliation with King Khalid University, Saudi Arabia, alongside 65 documents, 1,227 citations and an h-index of 21. The listed 2026 research records address computational modelling and fluid-related problems across several scientific areas. These details provide a basis for preliminary academic recognition, subject to verification of profile data, publication authorship and relevance to petroleum engineering. A final award assessment should prioritize demonstrable originality, methodological quality and the significance of the candidate’s verified contributions.
External Links
References
The references below link to the supplied researcher profile and publication records. The bibliographic details should be checked against the original publisher pages before formal academic or award-related use.
- Elsevier. (n.d.). Scopus author details: Marei Alqarni, Author ID 57190292812. Scopus.
https://www.scopus.com/authid/detail.uri?authorId=57190292812 - Authors as listed by the publisher. (2026). A computational analysis of novel-shaped fin designs with nanoparticle-integrated phase change material. Nanotechnology Reviews.
https://publons.com/wos-op/publon/87084476/ - Authors as listed by the publisher. (2026). Diverse soliton solutions for nonlinear higher-order Sasa-Satsuma equation with its dynamical analysis. Boundary Value Problems.
https://publons.com/wos-op/publon/81344278/ - Authors as listed by the publisher. (2026). Enhancing the dynamic thermal stability of Fe2O3/blood nanofluids through synchronous chemical modification in electroosmotic ciliary-inspired micro vessels: Application in biomedicine. Journal of the Taiwan Institute of Chemical Engineers. . https://publons.com/wos-op/publon/81343698/
- Authors as listed by the publisher. (2026). Finite Difference and Artificial Neural Network Approach to Fractional MHD Casson Fluid Flow Oscillation. Fractals.
https://publons.com/wos-op/publon/84590387/
Editorial note: Bibliometric figures and profile details are reproduced from the information supplied for this article and have not been independently verified here. The listed publication records should not be interpreted as confirmed works by the named researcher until authorship is checked against the publisher and researcher profiles. This article is an academic profile draft, not an announcement of an official award decision.