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Navid Mohammadi on Muck Rack

Navid Mohammadi

As seen in: Nature, Wiley Online Library, arXiv, ACS Publications, Emerald Publishing, Nankai Business Review International, Folia Medica

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Articles

Mapping technological maturity and evolution in food innovation using patent analysis

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By Mehrdad Maghsoudi, Navid Mohammadi, Mohammad Sadegh Sabet
| Nature Verified
Abstract The advancement of food technology is driving transformative innovation across diverse areas, including biotechnology, smart packaging, and IoT-enabled food monitoring. This study presents a patent-based analysis of emerging trends, technological maturity, and industrial applications within the food sector. Drawing on a dataset of 86,888 patents, we applied K-Meansmeans clustering was applied to identify 15 distinct technological clusters, each representing a specialized domain.
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Corporate venture capital value chain: objectives, challenges, and strategic implications

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By Navid Mohammadi, Asef Karimi, Saba Tavasoli
| Nature Verified
Abstract This study systematically reviews 64 articles from 2007 to 2024 to explore key aspects of the corporate venture capital (CVC) value chain, including types, objectives, processes, challenges, and antecedents. The findings highlight the diversity of CVC models, classified into 19 categories based on strategic and financial priorities, operational linkages, and risk attitudes.
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A unified GRU model for cryptocurrency price prediction and harsh price movement detection using enhanced sentiment analysis

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By Saeed Rouhani, Navid Mohammadi, Mahmood Mohammadi Nezhad, Ali Shahedi
| Nature Verified
Abstract Predicting cryptocurrency price movements using social media sentiment remains challenging due to the noisy, heterogeneous, and rapidly evolving nature of online signals. While prior studies commonly combine sentiment analysis with deep learning models, less attention has been given to how sentiment signals are constructed, aggregated, and aligned with price dynamics.
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