Omar H. Abd Elkade | Utilities Analytics | Best Researcher Award

Best Researcher Award

Omar H. Abd Elkade
Researcher Omar H. Abd Elkade
Affiliation King Saud University
Country Saudi Arabia
Scopus ID 57192277362
Documents 7
Citations 65
h-index 4
Subject Area Utilities Analytics
Event International Research Data Analysis Excellence & Awards
ORCID 0000-0002-7351-813X

Omar H. Abd Elkade – King Saud University

Omar H. Abd Elkade is affiliated with King Saud University, Saudi Arabia, and is represented in the supplied researcher information by a Scopus author record containing seven documents, 65 citations, and an h-index of 4. The profile is considered in the context of the International Research Data Analysis Excellence & Awards and the stated subject area of Utilities Analytics.[1]

Abstract

This academic recognition profile presents the supplied bibliometric information for Omar H. Abd Elkade, affiliated with King Saud University. The documented record reports seven publications, 65 citations, and an h-index of 4. The profile is examined within Utilities Analytics and the International Research Data Analysis Excellence & Awards framework.[1]

Keywords

Keywords: Omar H. Abd Elkade; King Saud University; Utilities Analytics; research data analysis; bibliometrics; Scopus; citation impact; h-index; research recognition; Best Researcher Award.

 Introduction

Research recognition commonly considers documented scholarly outputs, citation activity, disciplinary relevance, and researcher visibility. Omar H. Abd Elkade is presented here through supplied bibliometric indicators associated with King Saud University and Utilities Analytics. These indicators provide a structured basis for describing research activity without extending conclusions beyond the available profile evidence.[1]

 Research Profile

The available research profile identifies Omar H. Abd Elkade with King Saud University in Saudi Arabia and associates the record with Utilities Analytics. The supplied Scopus information reports seven documents, 65 citations, and an h-index of 4. ORCID provides a persistent researcher identifier that can support scholarly identity and record discovery. [2]

Research Contributions

Based on the supplied information, the principal documented contribution is an identifiable scholarly record within the stated Utilities Analytics subject area. Seven indexed documents and 65 citations indicate measurable research dissemination and scholarly attention. However, specific methodological innovations, datasets, collaborations, or individual project contributions require verification from the underlying publications and institutional records.[1]

 Publications

The supplied bibliometric record lists seven documents associated with Scopus author ID 57192277362. These documents constitute the available publication-count evidence for this profile. Individual article titles, journals, publication years, co-authorship patterns, and article-level DOI information were not supplied and therefore are not attributed here without verification from the corresponding scholarly records.[2]

Research Impact

The reported 65 citations and h-index of 4 provide quantitative indicators of scholarly visibility within the supplied Scopus record. Citation counts can assist comparative assessment but should be interpreted alongside publication age, field norms, authorship, venue, and research context. The available figures therefore document impact indicators rather than establishing broader societal or technological impact.[3]

Award Suitability

The supplied record provides several measurable criteria relevant to research recognition: an identifiable institutional affiliation, seven indexed documents, 65 citations, an h-index of 4, and a stated connection with Utilities Analytics. These indicators support consideration for a research award, while final suitability should depend on the award’s official eligibility criteria and independent verification of the submitted evidence. [3]

Conclusion

Omar H. Abd Elkade’s supplied academic profile demonstrates a documented research record associated with King Saud University and Utilities Analytics. The reported seven documents, 65 citations, and h-index of 4 provide concise bibliometric evidence for research activity. Further evaluation should incorporate verified publication quality, research contributions, disciplinary context, and the award’s formal assessment criteria.[1]

References

  1. Mineral analysis of Pistacia species with inductively coupled plasma-mass spectrometry (ICP-MS).
    https://www.researchgate.net/publication/390168549_Mineral_analysis_of_Pistacia_species_with_inductively_coupled_plasma-mass_spectrometry_ICP-MS
  2. Resveratrol and Neuroprotection: Impact and Its Therapeutic Potential in Alzheimer’s Disease.
    https://pmc.ncbi.nlm.nih.gov/articles/PMC7804889/
  3. Chemical activation of calcium aluminate cement composites cured at elevated temperature
    https://www.researchgate.net/publication/233379459_Chemical_activation_of_calcium_aluminate_cement_composites_cured_at_elevated_temperature

Mohammad Renewable energy | Best Researcher Award

Assoc Prof Dr. Mohammad Renewable energy | Best Researcher Award

Dr. Lichun Zhu | Agricultural Data Analysis– Islamic Azad University – Semnan Branch | Iran

Profile Verified

Google Scholar

👨‍🏫 Summary

Assoc. Prof. Dr. Mohammad Tolou Askari is an accomplished academic in Power Electrical Engineering, currently serving as an Associate Professor at Islamic Azad University, Semnan Branch. With a strong background in both academia and industry, he has held various leadership roles including Head of International Affairs, Director of the Incubator Technology Center, and Managing Editor for multiple academic journals. His professional career spans over two decades, marked by a focus on electrical systems, power market restructuring, and renewable energy solutions.

🎓 Education

Dr. Askari earned his Ph.D. in Power Electrical Engineering from University Putra Malaysia (CGPA 4.0/4.0), where he focused on dynamic investment modeling in power markets with wind sources. He also holds an M.Sc. from the same university (CGPA 3.87/4.0), with research on transformer life estimation. His B.Sc. and Associate degrees were obtained in Iran, both in Power and Industrial Electricity, respectively.

💼 Professional Experience

Since 2011, he has been an Associate Professor at Islamic Azad University. He has also served as a consultant to Iran Small Industries and contributed to numerous engineering and audit projects for factories and industrial zones. His past roles include instructor at UPM, technical manager at Pouyan Tahvieh Co., and department head at the University of Applied Science and Technology (Mahdishahr). He has experience as a lecturer across several university branches and served in editorial capacities for scientific journals.

💻 Technical Skills

Proficient in MATLAB, Digsilent, EMTP-RV, PVsyst, GAMS, SPSS, MINITAB, LINGO, AutoCAD, E-Views, and Microsoft Office. Also skilled in video editing tools like Camtasia and KineMaster, with certification in ICDL.

🧑‍🏫 Teaching Experience

Dr. Askari has taught a wide range of undergraduate to PhD-level courses, including Renewable Energies, Power System Analysis, Smart Grid Optimization, Reliability, Power Electronics, Engineering Mathematics, and Technical English. He has also led laboratory sessions in machines, electronics, and energy systems.

🔬 Research Interests

His research spans Restructured Power Markets, Renewable Energies (Wind, Solar, Biomass, etc.), Smart Grids, Generation & Transmission Planning, Uncertainty Modeling, Microgrids, Hub Energy, and Power System Resilience. He has led numerous funded projects involving system audits, feasibility studies, and optimization across various industrial sectors.

📚 Selected Publications

Multi-objective resilience enhancement program in smart grids during extreme weather conditions
    • Authors: VG Rahman Ashrafi, Meysam Amirahmadi, Mohammad Tolou-Askari

    • Journal: International Journal of Electrical Power and Energy Systems

    • Year: 2021

Evaluation of lightning current using inverse procedure algorithm
    • Authors: M. Izadi, M.Z.A. Ab Kadir, M.T. Askari, M. Hajikhani

    • Journal: International Journal of Applied Electromagnetics and Mechanics

    • Year: 2013

Optimal resilient operation of hub energy system considering uncertain parameters
    • Authors: M. Paktinat, M. Amirahmadi, M. Tolou-Askari, F. Mousavizadeh

    • Journal: Sustainable Energy, Grids and Networks

    • Year: 2022

A new comprehensive model to simulate the restructured power market for seasonal price signals by considering on the wind resources
    • Authors: M.T. Askari, M.Z.A. Ab Kadir, H. Hizam, J. Jasni

    • Journal: Journal of Renewable and Sustainable Energy

    • Year: 2014

Modeling optimal long-term investment strategies of hybrid wind-thermal companies in restructured power market
    • Authors: M.T. Askari, M.Z.A. Kadir, M. Tahmasebi, E. Bolandifar

    • Journal: Journal of Modern Power Systems and Clean Energy

    • Year: 2019