Latest Research in Competitive and Knowledge Intelligence

Top Research Topics in Competitive and Knowledge Intelligence

• Intelligence, Security, War Strategy — 12 papers
• Competitive and Knowledge Intelligence — 6 papers
• Complex Systems and Time Series Analysis — 3 papers
• Earthquake Detection and Analysis — 2 papers
• Academic Publishing and Open Access — 2 papers
• Health, Environment, Cognitive Aging — 2 papers
• Insurance and Financial Risk Management — 2 papers
• Higher Education Governance and Development — 2 papers
• 3D Surveying and Cultural Heritage — 2 papers
• Law, AI, and Intellectual Property — 1 papers

Highest-Cited Papers

1. MODEL ADOPTION #2422: REJECT — LEDGER BENCH: Apply filter: Phase distance TIGHT (
2. MODEL ADOPTION #2422: REJECT — LEDGER BENCH: Apply filter: Phase distance TIGHT (
3. HOMO-LLM: WHAT'S NEXT? vs. HOMO-LLM: WHO'S NEXT?
4. LAB #2380 NEUTRAL: LEDGER BENCH: Apply filter: Quarterly phase = MANIPULATION — improves win rate from 31.2% to 31.9% ( — E8 Intelligence Research
5. LAB #2322 NEUTRAL: VIDEO SCOUT: Live Futures Trading with VWAP Wave System — E8 Intelligence Research
6. MODEL ADOPTION #2307: REJECT — LEDGER BENCH: Apply filter: XAUUSD SHORT — improves win rate from 31.5% to 50.0% (+18.5pp, — E8 Intelligence Research
7. Floor-Cleared Brand Velocity: Measuring Multi-Epoch Spectral Velocity Against the Apparatus Floor
8. LAB #2260 PROMISING: LEDGER BENCH: Apply filter: Quarterly phase = ACCUMULATION — improves win rate from 31.6% to 43.8% ( — E8 Intelligence Research
9. LAB #2260 PROMISING: LEDGER BENCH: Apply filter: Quarterly phase = ACCUMULATION — improves win rate from 31.6% to 43.8% ( — E8 Intelligence Research
10. BurnRiSc: Toward Non-Invasive Burnout Screening in Open Source from Public Repository Signals
11. MODEL ADOPTION #2234: REJECT — LEDGER BENCH: Apply filter: Phase distance TIGHT (
12. Nine instruments, five data forms, eight audited papers: a calibrated mirror for published multifractality claims
13. MODEL ADOPTION #2228: REJECT — LEDGER BENCH: Apply filter: Phase distance MODERATE (5-10deg) — improves win rate from 31. — E8 Intelligence Research
14. MODEL ADOPTION #2228: REJECT — LEDGER BENCH: Apply filter: Phase distance MODERATE (5-10deg) — improves win rate from 31. — E8 Intelligence Research
15. LAB #2070 NEUTRAL: LEDGER BENCH: Apply filter: NZDUSD LONG — improves win rate from 32.0% to 35.9% (+4.0pp, n=64) — E8 Intelligence Research
16. LAB #2104 NEUTRAL: TG AUTO: New edge proposed: opening_range_breakout_with_prior_day_extreme_zone_filter — E8 Intelligence Research
17. LAB #2104 NEUTRAL: TG AUTO: New edge proposed: opening_range_breakout_with_prior_day_extreme_zone_filter — E8 Intelligence Research
18. Defensive publication by Rajeev Rohilla dated 12 September 2026 to establish prior art. This invention discloses a novel system and method with full technical details in the attached PDF. Author: Rajeev Rohilla ORCID: https://orcid.org/0009-0003-1890
19. MODEL ADOPTION #2059: REJECT — LEDGER BENCH: Apply filter: Min confirmations >= 5 — improves win rate from 31.9% to 33.6% — E8 Intelligence Research
20. Large Signal Libraries: Equal-Weight Limits and the Divergent Spectra of Signals and PnL