Mahmut Dogan | Surface Engineering | Innovative Research Award

Published on by Metallurgy Award

Innovative Research Award

 Mahmut Dogan
Affiliation Erciyes University Faculty of Engineering Department of Food Engineering
Country Turkey
Scopus ID 35890181300
Documents 106
Citations 2627
h-index 31
Subject Area Food Science
Event Global Metallurgy Awards
ORCID 0000-0003-1639-4641

Mahmut Dogan,
Erciyes University

The Innovative Research Award recognizes sustained scholarly achievement through impactful research, scientific publications, and measurable academic influence. Mahmut Dogan has established a notable research profile in Food Science through extensive publications, citation performance, interdisciplinary collaboration, and continued contributions to scientific advancement.[1]

Abstract

This article summarizes the academic profile of Mahmut Dogan, emphasizing publication productivity, citation influence, research quality, and international scholarly visibility. The overview highlights achievements relevant to the Innovative Research Award while presenting verifiable academic indicators obtained from recognized scholarly databases.[1]

Keywords

Food Science, Innovative Research, Scientific Publications, Food Engineering, Citation Impact, Scopus Author, Academic Excellence, Research Recognition.[1]

Introduction

Mahmut Dogan has developed an established academic career focused on Food Science and engineering research. His work demonstrates sustained publication activity, interdisciplinary collaboration, and measurable scientific influence through peer-reviewed studies, contributing to knowledge advancement while supporting innovation across food-related research disciplines internationally.[1][2]

Research Profile

Affiliated with Erciyes University, Mahmut Dogan has produced more than one hundred indexed publications with substantial citation performance and a strong h-index. These indicators reflect continuous research productivity, recognized expertise, and active engagement within the international Food Science research community.[1][3]

Research Contributions

The research contributions encompass food material characterization, processing technologies, quality evaluation, and functional ingredient investigations. Through collaborative studies and evidence-based methodologies, the researcher has supported scientific understanding while promoting reliable analytical approaches applicable across modern food engineering and related scientific fields.[2][3]

Publications

The publication portfolio includes numerous peer-reviewed journal articles indexed in internationally recognized databases. Consistent publication quality, collaborative authorship, and recurring citations demonstrate the relevance of the research while strengthening scholarly communication and contributing to the advancement of Food Science literature.[1][2]

Research Impact

Citation metrics exceeding two thousand references and a strong h-index indicate sustained scholarly influence. The research has supported subsequent investigations, encouraged interdisciplinary collaboration, and enhanced scientific visibility, reflecting broad academic recognition within Food Science and related engineering disciplines worldwide.[1][3]

Award Suitability

The documented research productivity, citation record, publication consistency, and measurable scientific contributions provide objective indicators supporting consideration for the Innovative Research Award. These achievements demonstrate sustained academic excellence, international research visibility, and meaningful contributions to scientific knowledge through peer-reviewed scholarship.[1][2]

Conclusion

Mahmut Dogan’s academic achievements demonstrate a balanced combination of research productivity, publication quality, citation influence, and international scholarly engagement. Collectively, these measurable accomplishments establish a credible academic profile consistent with the objectives of recognizing innovative scientific research and sustained scholarly excellence.[1][3]

References

    1. Elsevier. (n.d.). Scopus Author Details: Mahmut Dogan, Author ID 35890181300. Scopus.https://www.scopus.com/authid/detail.uri?authorId=35890181300

    2. Gürmeriç, V. E., & Doğan, M. (2026). The quantitative assessment of the mixing time on the effect of mixing homogeneity in different food powder mixers: Entropy-weighted grey relational analysis. Journal of Food Engineering, 410, 112936.

      https://doi.org/10.1016/j.jfoodeng.2025.112936

    3. ORCID. (n.d.). ORCID Profile: Mahmut Dogan.

      https://orcid.org/0000-0003-1639-4641