# net-academic > Analysis by Optimly for Optimly AI Visibility, in the Optimly AI Brand Index. Last analyzed September 12, 2026. > net-academic (academic.net) is an online platform that serves as a comprehensive resource for discovering and listing academic conferences across a wide range of disciplines, including Computer Science & IT, Engineering & Technology, Environment, Business & Economics, and Social Sciences & Humanities. It provides information on upcoming and latest conferences globally, facilitating academic exchange and professional development. - Business Profile: https://optimly.ai/brand/net-academic - Publisher: Optimly (https://optimly.ai) - Dataset: Optimly AI Brand Index (https://optimly.ai/brand) - Official website: https://academic.net/ - Logo: https://logo.clearbit.com/academic.net - Slug: net-academic - Brand Authority Index tier: Emerging - Category: Academic Conference Listing Platforms - Last Analyzed: September 12, 2026 --- ## Full Details / RAG Data ### Overview net-academic has a Business Profile in the Optimly AI Brand Index. net-academic (academic.net) is an online platform that serves as a comprehensive resource for discovering and listing academic conferences across a wide range of disciplines, including Computer Science & IT, Engineering & Technology, Environment, Business & Economics, and Social Sciences & Humanities. It provides information on upcoming and latest conferences globally, facilitating academic exchange and professional development. ### Metadata | Field | Value | |--------------|-------| | Name | net-academic | | Slug | net-academic | | URL | https://optimly.ai/brand/net-academic | | Logo | https://logo.clearbit.com/academic.net | | Brand Authority Index tier | Emerging | | Category | Academic Conference Listing Platforms | | Last Analyzed | September 12, 2026 | | Last Updated | 2026-09-20T17:36:11.128Z | ### Links - Canonical page: https://optimly.ai/brand/net-academic - Official website: https://academic.net/ - Publisher: https://optimly.ai - Dataset: https://optimly.ai/brand - JSON endpoint: /brand/net-academic.json - LLMs.txt: /brand/net-academic/llms.txt