Información de la conferencia

ICIMITAI 2026: International Conference on Information Management, Information Technology and Artificial Intelligence

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Día de Entrega:
2026-09-01
Fecha de Notificación:
2026-09-09
Fecha de conferencia:
2026-10-23
Ubicación:
New York City, New York, USA
Ediciones:
2
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Índice Conference Partner (CP-I)

40,3 / 100
Puesto n.º 5.012 de 5.693 congresos · 89% superior

N.º 217 de 253 en Sistemas de información y Web N.º 640 de 742 en Inteligencia artificial y aprendizaje automático

Reconocimiento académico (35%) Sin datos: se puntúa con la línea base neutra de 50 —
Selectividad en la revisión (20%) Sin datos: se puntúa con la línea base neutra de 50 —
Ediciones celebradas (20%)
30
Atención de la comunidad (10%)
16
Integridad del registro público (15%)
35

Datos utilizados: Ediciones documentadas: 2 · Investigadores que abrieron esta página en los últimos 24 meses: 8

Falta en el registro público: Tasas de aceptación históricas (+4,5) · Ediciones anteriores (+3,0) · Premios al mejor artículo (+2,3)
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Solicitud de Artículos

ICIMITAI 2026 (International Conference on Information Management, Information Technology and Artificial Intelligence) is an academic conference held in New York City, New York, USA on 2026-10-23. The paper submission deadline is 2026-09-01. Acceptance notifications are sent on 2026-09-09.

Loxbridge High-Tech Forum proudly invites submissions of research and development papers, short papers, summaries, abstracts, case studies, and applications for the forthcoming event — the 2nd International Conference on Information Management, Information Technology and Artificial Intelligence (ICIMITAI241026). Our ICIMITAI241026 aims to provide an excellent scientific platform for researchers, practitioners, and industry professionals to share and exchange innovative ideas, original research, and good practice, while fostering international collaboration and academic and R&D partnerships. Our mission is to contribute to a bright and dynamic landscape of research, development and practice in information management, information technology, and artificial intelligence across business, engineering, education and diverse interdisciplinary domains. Our platform empowers and supports individuals to realise their IT and AI dreams and shape the future through participation, innovation and publication. We welcome multidisciplinary and cross-disciplinary contributions that advance the theory, practice, teaching and learning of information, IT, AI and their applications in various areas and sectors across the world. Submissions may address, but are not limited to, the following Streams/Tracks (View Streams/Tracks): Information & Knowledge Management Information Technology, System Architectures and Quantum Computing Artificial Intelligence & Machine Learning Data Science, Analytics & Big Data Blockchain, Web3 and the Metaverse Robotics, Automation & Cyber-Physical Systems Security, Privacy, Trust & Cryptography Applied Mathematics, Computational Methods & Modelling Business Strategy, Innovation & Management Marketing, Finance & Economics in High-Tech Contexts Operations, Supply Chain, Manufacturing & Production Engineering, Infrastructure & Industrial Applications Medicine, Healthcare & Wellbeing Technologies Games, Sports, Media, Art & Creativity Technologies Data, Analytics, IT & AI for Fashion Data, Analytics, IT & AI for Tourism, Hospitality and Smart Destinations IT & AI for Property, Real Estate and Smart Asset Management Public Administration, Policy & Governance of Technology Data, Analytics, IT & AI for Human Resource Management and Workforce Innovation Low-Carbon, Environmental & Sustainable Technologies Smart Agriculture, Smart Farming & Smart Animal Husbandry Ethics, Responsibility & Governance in AI, IT & Data Education, Training & Learning Technologies Education Transformation, AI & the Future of Learning Metaverse in Action Other Research, Development & Applications of IT and AI All accepted full papers and short papers will be published in conference proceedings or reputable eBook series with ISBNs and DOIs, while accepted abstracts and short summaries will appear in relevant eBook series with ISBNs, and DOI if applicable.
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