Latest Research in Competitive and Knowledge Intelligence
16 research papers · 2026 median publication year
Top Research Topics in Competitive and Knowledge Intelligence
- Intelligence, Security, War Strategy — 3 papers
- Competitive and Knowledge Intelligence — 2 papers
- Higher Education Governance and Development — 2 papers
- Stock Market Forecasting Methods — 1 papers
- E-Learning and Knowledge Management — 1 papers
- Operations Management Techniques — 1 papers
- Computation and Language — 1 papers
- Research Data Management Practices — 1 papers
- Astronomy and Astrophysical Research — 1 papers
- Historical Astronomy and Related Studies — 1 papers
Highest-Cited Papers
- LAB #2418 NEUTRAL: TG AUTO: New edge proposed: keltner_channel_momentum_breakout_pullback — E8 Intelligence Research
- LAB #2404 NEUTRAL: LEDGER BENCH: Apply filter: USDCHF SHORT @ ASIAN with 5 conf — improves win rate from 31.1% to 63.2% — E8 Intelligence Research
- LAB #2380 NEUTRAL: LEDGER BENCH: Apply filter: Quarterly phase = MANIPULATION — improves win rate from 31.2% to 31.9% ( — E8 Intelligence Research
- LAB #2340 NEUTRAL: LEDGER BENCH: Apply filter: Phase distance MODERATE (5-10deg) — improves win rate from 31.2% to 32.7 — E8 Intelligence Research
- Connecting the Opens leadership series
- LAB #2042 NEUTRAL: LEDGER BENCH: Apply filter: Quarterly phase = MANIPULATION — improves win rate from 32.0% to 32.8% ( — E8 Intelligence Research
- LAB #2016 NEUTRAL: LEDGER BENCH: Apply filter: NZDUSD LONG — improves win rate from 31.9% to 34.9% (+3.0pp, n=63) — E8 Intelligence Research
- Innovation to Operations Part III: Roles, Responsibilities and Expectations
- Towards Automatic Evolution Tree Generation from Citation Graphs
- Why OpenREL? The Future of Machine-Readable Licensing in EOSC
- Volume 12 - The Crucible: What Survived the Fire - Five Forms of Error and the Rebuilding of the Instrument
- Early-Career Researchers and the Logics in Researcher Assessment
- Early-Career Researchers and the Logics in Researcher Assessment
- LAB #1652 NEUTRAL: TG AUTO: EXTRACTED CONSTANTS (rlab #189): 1.618, 1.4142, 1.732, 10800 — E8 Intelligence Research
- Evaluating Large Language Models for automatic analysis of teacher simulations
- SYSTEMIC PROGRESS REGENERATION PROTOCOL (SPRP)