Mahdi Zarnoush | Simulation and Training | Research Excellence Award

Global VR Research Awards

Mahdi Zarnoush
Khajeh Nasir Toosi University of Technology

Mahdi Zarnoush
Affiliation Khajeh Nasir Toosi University of Technology
Country Iran
Scopus ID 58602901500
Documents 6
Citations 155
h-index 5
Subject Area Simulation and Training
Event Global VR Research Awards
ORCID 0009-0008-4527-524X

Mahdi Zarnoush is a researcher affiliated with Khajeh Nasir Toosi University of Technology in Iran, with a research profile associated with simulation and training. The available bibliographic information identifies a Scopus author record containing 6 documents, 155 citations, and an h-index of 5. These indicators provide a bibliometric description of the indexed research record and should be interpreted within the coverage and updating practices of the relevant databases.[1]

Abstract

Mahdi Zarnoush is affiliated with Khajeh Nasir Toosi University of Technology, Iran, and is associated with the subject area of simulation and training. Available bibliometric information records 6 documents, 155 citations, and an h-index of 5 under Scopus author identifier 58602901500. Simulation and training constitute an established area of virtual reality research, encompassing immersive environments, procedural practice, skill development, evaluation, and technology-supported learning. [2][3]

Keywords

Mahdi Zarnoush; virtual reality; simulation; training; immersive learning; virtual environments; digital simulation; skills development; extended reality; research impact.

Introduction

Virtual reality has become an established research modality for creating interactive environments in which users can practice procedures, explore scenarios, and receive structured feedback. Reviews of VR training research describe applications across education, professional development, medical training, first-responder activities, workforce learning, and other domains.[2]

Research Profile

The available researcher information places Mahdi Zarnoush within the academic environment of Khajeh Nasir Toosi University of Technology in Iran, with simulation and training identified as the relevant subject area. The Scopus record supplied for this profile contains 6 documents, 155 citations, and an h-index of 5.[1]

Research Contributions

Research in simulation and training using virtual reality commonly addresses the creation of immersive learning experiences, the design of realistic scenarios, procedural practice, and methods for measuring learning or performance. A review of VR skill-training applications identifies training experience creation, application domains, and assessment methods as central components of the field.[2]

Publications

The supplied bibliometric record reports 6 documents associated with Scopus author identifier 58602901500.The present profile does not reproduce individual publication titles because a complete publication list was not supplied in the source information. The Scopus author profile and Google Scholar profile provide external routes for examining publication records, citation information, and related scholarly outputs.[1]

Research Impact

The supplied Scopus indicators report 155 citations and an h-index of 5 for the researcher record.Citation counts can provide one quantitative indication of scholarly visibility, although they are influenced by publication age, field characteristics, database coverage, collaboration patterns, and citation practices. In the broader simulation literature, systematic reviews have examined VR training through learning outcomes, usability, effectiveness measures, and knowledge transfer rather than relying solely on bibliometric indicators.[3][4]

Award Suitability

The Global VR Research Awards identifies research connected with virtual reality and related technological fields. Mahdi Zarnoush’s supplied profile identifies simulation and training as the subject area and records an indexed research output of 6 documents, 155 citations, and an h-index of 5.[1]

Conclusion

Mahdi Zarnoush is an academic researcher affiliated with Khajeh Nasir Toosi University of Technology whose supplied research profile is associated with simulation and training. The reported Scopus record contains 6 documents, 155 citations, and an h-index of 5.[1]

References

  1. Elsevier. (2026). Scopus author details: Mahdi Zarnoush, Author ID 58602901500. Scopus.
    https://www.scopus.com/authid/detail.uri?authorId=58602901500
  2. Google Scholar. (2026.). Mahdi Zarnoush – Google Scholar profile. Google Scholar.
    https://scholar.google.com/citations?user=lJcc9xQAAAAJ&hl=en
  3. ORCID. (2026.). Mahdi Zarnoush – ORCID record. ORCID.
    https://orcid.org/0009-0008-4527-524X
  4. Advancements and challenges in battery thermal management technologies for electric vehicles; a systematic navigation on the latest trends
    https://www.sciencedirect.com/science/article/pii/S2590123025019012
  5. Global VR Research Awards. (2026). Global VR Research Awards. World Research Awards.
    https://vrresearchaward.com/

Firouzeh Gholampour | Simulation and Training | Research Excellence Award

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Gul Rahman | Simulation & Training | Research Excellence Award

Prof. Dr. Gul Rahman | Simulation & Training | Research Excellence Award

Quaid-i-Azam University | Pakistan

Dr. Gul Rahman academic and researcher specializing in computational physics and materials science, with extensive experience in Density Functional Theory and electronic structure analysis. Holds a PhD and completed postdoctoral research in computational metallurgy, contributing to advancements in condensed matter physics and machine learning applications. Demonstrates strong expertise in teaching, mentoring, and leading research initiatives, with a consistent record of innovation and collaboration. Has participated in multiple international research stays, enhancing global academic engagement. Currently serves in a senior faculty role, actively contributing to scientific research, curriculum development, and the organization of academic conferences at both national and international levels.

Citation Metrics (Scopus)

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Citations
2,453

Documents
120

h-index
28

Citations

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h-index

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