Best Researcher Award – Nicos Komninos
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]
Contents
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.
External Links
- ORCID Profile
- Scopus Author Profile
- Google Scholar
- Featured DOI Publication
- Computer Scientists Awards
References
- Elsevier. (n.d.). Scopus author details: Nicos Komninos, Author ID 55405863500.
https://www.scopus.com/authid/detail.uri?authorId=55405863500 - 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 - Komninos, N. (2026). Actualising Connected Intelligence in the Discovery of Innovation.
https://doi.org/10.4324/9781003731870-13 - Komninos, N. (2026). Connected Intelligence.
https://doi.org/10.4324/9781003731870-12 - Komninos, N. (2026). Evolving Intelligent Environments.
https://doi.org/10.4324/9781003731870