Firouz Matloubi Moghaddam | Decision Sciences | Best Researcher Award

Best Researcher Award

Firouz Matloubi Moghaddam
Sharif University of Technology, Iran

Firouz Matloubi Moghaddam
Affiliation Sharif University of Technology
Country Iran
Scopus ID 7003600166
Documents 178
Citations 4,224
h-index 33
Subject Area Decision Sciences
Event Computer Scientists Awards
ORCID 0000-0002-8418-9888

Firouz Matloubi Moghaddam is a researcher affiliated with Sharif University of Technology, Iran, whose bibliographic profile is identified by Scopus Author ID 7003600166. The supplied research record reports 178 documents, 4,224 citations and an h-index of 33. These indicators provide a quantitative overview of the publication and citation record associated with the researcher. [1]

Abstract

This academic recognition profile summarizes the reported research record of Firouz Matloubi Moghaddam in the context of the Best Researcher Award. The supplied publication evidence includes recent studies involving cycloaddition chemistry, ionic liquids, nanocatalysis, heterocyclic synthesis, biological activity and photoluminescent materials. The record indicates continuing scholarly activity across chemically oriented research topics relevant to interdisciplinary decision and research sciences. [2]

Keywords

Decision Sciences; Organic Chemistry; Cycloaddition; Ionic Liquids; Nanocatalysis; Heterocyclic Chemistry; Biological Activity; Photoluminescence; Research Impact; Scholarly Publications.

Introduction

Researcher profiles combine bibliographic indicators with evidence from individual scholarly publications. In this case, the supplied record identifies Sharif University of Technology as the institutional affiliation and Decision Sciences as the designated subject area. Recent publications demonstrate work spanning synthetic methodologies, catalytic systems and biological evaluation. [3]

Research Profile

The reported Scopus record comprises 178 documents and 4,224 citations, with an h-index of 33. These values are bibliometric descriptors rather than independent measures of research quality and should be interpreted alongside publication content, authorship, venue, and disciplinary context. [1]

Research Contributions

The supplied publications indicate contributions to synthetic organic chemistry and related interdisciplinary applications. Topics include 1,3-dipolar cycloaddition in ionic liquids, nanocatalyst-assisted synthesis, PARP-1 inhibitory evaluation, regio- and diastereoselective reactions, and photoluminescent properties. [4]

Publications

  1. “Synthesis of spiro acenaphthylene pyrrolizidine and pyrrolidine compounds via 1,3-dipolar cycloaddition in ionic liquid and the investigation of their biological activity as potent α-glucosidase inhibitors.” Journal of Ionic Liquids, 2026.
  2. “Design and synthesis of novel phthalazine and benzofuran scaffolds using CoFe₂O₄@CNSCu nanocatalyst: Evaluation of PARP-1 inhibitory activity.” Journal of Organometallic Chemistry, 2026.
  3. “Regio- and diastereoselective synthesis of indeno-quinoxaline-thiazolidine-2-thione and bis-indeno-quinoxaline-dicarbamodithioate derivatives, along with an investigation of their photoluminescent properties and potential applications.” Tetrahedron, 2025.
  4. “Base catalyzed abnormal [3+2]-cycloaddition reaction of isatin N,N′-cyclic azomethine imine with malononitrile via C-3 umpolung of oxindole.” Journal of Molecular Structure, 2024.

Research Impact

The reported citation count and h-index provide measurable indicators of scholarly visibility within the indexed record. The publication list further shows research appearing in established chemistry journals and addressing methodological as well as application-oriented questions. Individual article impact should be assessed using article-level citation and usage data in addition to aggregate indicators. [5]

Award Suitability

For the Best Researcher Award profile, the documented indicators and supplied publications provide identifiable evidence for consideration of research productivity, citation activity and recent scholarly contributions. Award assessment remains dependent on the applicable criteria and review process of Computer Scientists Awards rather than on bibliometric indicators alone.

Conclusion

Firouz Matloubi Moghaddam’s supplied academic record combines a substantial indexed publication history with recent research addressing synthetic chemistry, catalytic methodologies and biological applications. The reported Scopus indicators and publication evidence form the principal documented basis of this academic recognition profile.

References

  1. Elsevier. (n.d.). Scopus author details: Firouz Matloubi Moghaddam, Author ID 7003600166. Scopus.
    https://www.scopus.com/authid/detail.uri?authorId=7003600166
  2. Journal of Ionic Liquids. (2026). Synthesis of spiro acenaphthylene pyrrolizidine and pyrrolidine compounds via 1,3-dipolar cycloaddition in ionic liquid and the investigation of their biological activity as potent α-glucosidase inhibitors.
    https://doi.org/10.1016/j.jil.2026.100187
  3. Journal of Organometallic Chemistry. (2026). Design and synthesis of novel phthalazine and benzofuran scaffolds using CoFe₂O₄@CNSCu nanocatalyst: Evaluation of PARP-1 inhibitory activity.
    https://doi.org/10.1016/j.jorganchem.2025.123997
  4. Tetrahedron. (2025). Regio- and diastereoselective synthesis of indeno-quinoxaline-thiazolidine-2-thione and bis-indeno-quinoxaline-dicarbamodithioate derivatives, along with an investigation of their photoluminescent properties and potential applications.
    https://doi.org/10.1016/j.tet.2025.134708
  5. Journal of Molecular Structure. (2024). Base catalyzed abnormal [3+2]-cycloaddition reaction of isatin N,N′-cyclic azomethine imine with malononitrile via C-3 umpolung of oxindole.
    https://doi.org/10.1016/j.molstruc.2023.137206
  6. ORCID. (n.d.). Firouz Matloubi Moghaddam, ORCID 0000-0002-8418-9888.
    https://orcid.org/0000-0002-8418-9888

Nicos Komninos | Decision Sciences | Best Researcher Award

Best Researcher Award

Nicos Komninos
URENIO Research, Aristotle University of Thessaloniki, Greece

Nicos Komninos
Affiliation URENIO Research, Aristotle University of Thessaloniki
Country Greece
Scopus ID 55405863500
Documents 64
Citations 3,685
h-index 25
Subject Area Decision Sciences
Event Computer Scientists Awards
ORCID 0000-0002-4656-1263

Nicos Komninos is an established researcher whose work has contributed to the advancement of innovation ecosystems, intelligent cities, regional development, and decision sciences. Through research conducted at URENIO Research, Aristotle University of Thessaloniki, he has explored the relationship between technological innovation, artificial intelligence, digital transformation, and spatial planning. His scholarly publications demonstrate continuous engagement with emerging concepts including connected intelligence, innovation districts, and intelligent environments, making his research relevant to both academic communities and public policy development.[1]

Abstract

This article summarizes the academic profile of Nicos Komninos for consideration within the Best Researcher Award. His research emphasizes innovation policy, smart cities, regional competitiveness, and digital transformation supported by artificial intelligence and geospatial intelligence. His publication record, citation performance, and sustained scholarly activity illustrate an internationally recognized contribution to decision sciences and innovation management. Recent publications further extend innovation district theory through AI-driven predictive models and connected intelligence frameworks.[2]

Keywords

Innovation Districts; Artificial Intelligence; Connected Intelligence; Smart Cities; Regional Development; Decision Sciences; Intelligent Environments; Geospatial Analytics.

Introduction

The integration of AI, spatial analysis, and innovation policy has become increasingly significant for understanding regional competitiveness. Nicos Komninos has consistently investigated these themes by examining how digital technologies influence innovation ecosystems, knowledge networks, and intelligent urban development. His work bridges theoretical research with practical policy applications while supporting evidence-based planning.[3]

Research Profile

According to the supplied scholarly metrics, the researcher has authored 64 indexed publications, accumulated approximately 3,685 citations, and achieved an h-index of 25. His principal research domain is Decision Sciences, complemented by interdisciplinary work spanning innovation studies, digital transformation, and urban intelligence. These indicators demonstrate sustained academic productivity and measurable research influence.[1]

Research Contributions

  • Advanced research on innovation districts and regional innovation systems.
  • Integration of AI and geospatial modelling for innovation forecasting.
  • Development of connected intelligence concepts supporting collaborative innovation.
  • Research on intelligent environments and digital transformation strategies.

Publications

  • Predicting Local Innovation through AI and Geospatial Models: Revisiting the Innovation District Theory (Technovation, 2026).
  • Actualising Connected Intelligence in the Discovery of Innovation (2026).
  • Connected Intelligence (2026).
  • Evolving Intelligent Environments (2026).

Research Impact

The combination of substantial citation performance, interdisciplinary collaborations, and continued publication activity demonstrates an influential scholarly profile. Research outputs addressing innovation ecosystems, AI-supported regional planning, and connected intelligence have contributed to contemporary discussions within decision sciences and innovation management. These contributions provide useful theoretical perspectives and practical implications for researchers, planners, and policymakers.[4]

Award Suitability

Based on the documented scholarly metrics, publication record, and sustained contributions to innovation research, Nicos Komninos demonstrates characteristics commonly associated with distinguished research recognition. His work illustrates consistent academic productivity, measurable citation impact, and continuing engagement with emerging research themes including AI, intelligent environments, and innovation policy.[5]

Conclusion

Nicos Komninos has established a scholarly profile characterized by interdisciplinary research, sustained publication activity, and internationally visible contributions within decision sciences. His recent investigations into connected intelligence, AI-enabled innovation forecasting, and intelligent environments further reinforce the relevance of his research to future technological and regional development challenges.

References

  1. Elsevier. (n.d.). Scopus author details: Nicos Komninos, Author ID 55405863500.
    https://www.scopus.com/authid/detail.uri?authorId=55405863500
  2. Komninos, N. (2026). Predicting Local Innovation through AI and Geospatial Models: Revisiting the Innovation District Theory. Technovation.
    https://doi.org/10.1016/j.technovation.2026.103544
  3. Komninos, N. (2026). Actualising Connected Intelligence in the Discovery of Innovation.
    https://doi.org/10.4324/9781003731870-13
  4. Komninos, N. (2026). Connected Intelligence.
    https://doi.org/10.4324/9781003731870-12
  5. Komninos, N. (2026). Evolving Intelligent Environments.
    https://doi.org/10.4324/9781003731870

Melek Gul | Decision Sciences | Most Cited Article Award

Prof. Dr. Melek Gul | Decision Sciences | Most Cited Article Award

Professor | Amasya University | Turkey

Prof. Melek Gül is a professor of organic chemistry whose research integrates synthetic organic chemistry with medicinal chemistry, computational modeling, and advanced materials science. Her work focuses on the design and synthesis of heterocyclic and bioactive compounds with applications in anticancer therapy, antioxidant systems, and drug resistance modulation, supported by molecular docking and density functional theory studies. She has made significant contributions to optoelectronic and organic electronic materials, including charge transport systems and solar cell applications, alongside green chemistry approaches and natural product research. Her interdisciplinary scholarship bridges chemistry, biology, and materials science, demonstrating strong scientific leadership and sustained impact across pharmaceutical and functional material research domains.

Citation Metrics (Scopus)

400

300

200

100

50

0

Citations
341

Documents
32

h-index
10

    🟦 Citations    🟥 Documents    🟩 h-index


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