Company profile
International Journal of Advances in Engineering and Management ( IJAEM )
Live profile
IJAEM.net. International Journal of Advances in Engineering and Management (IJAEM) is an international peer reviewed, online journal published for the ...
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AI Classification
IJAEM is an open-access, peer-reviewed academic journal publishing research in engineering, technology, and management from authors in 56+ countries, charging a flat 1400 INR publication fee per article with a 48-hour turnaround commitment.
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International Journal of Advances in Engineering and Management ( IJAEM ) is one of 2,673 B2B companies in the Kustiq directory.
International Journal of Advances in Engineering and Management ( IJAEM ) sits among 18 education publisher companies in our Education directory.
Similar profiles: CellBlock FCS, Grain, Brand24, and Apify.
How International Journal of Advances in Engineering and Management ( IJAEM ) compares with other Education Publisher companies
International Journal of Advances in Engineering and Management ( IJAEM ) is one of 18 Education Publisher companies profiled in the Kustiq Education directory, which holds 165 Education companies in total. Every number below is computed from those profiles.
The most common tech detections across the 10 peers with a visible stack are Google Analytics (50%), WordPress (40%), and nginx (40%). International Journal of Advances in Engineering and Management ( IJAEM ) runs Google Analytics.
Benchmarks are recomputed from live directory data, so they move as profiles refresh. Counts cover Kustiq-profiled companies, not the whole market.
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- Search intelligence via Serper API across the company site, LinkedIn, press, and GitHub.
- Claude only picks the buckets. It never decides facts.
- 12-factor churn engine. Deterministic score, zero LLM at scoring time.
- SMTP RCPT TO handshake on every contact, at delivery time on full profiles (paid plan).
This profile was built from 5 rendered pages of ijaem.net and search coverage across the live web on .
Read the full methodology in our LLM-readable reference or compare against the deterministic-vs-AI framework.
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