Latest Research in Competitive and Knowledge Intelligence

99 research papers · 2026 median publication year

Top Research Topics in Competitive and Knowledge Intelligence

Highest-Cited Papers

  1. MODEL ADOPTION #1138: REJECT — TG AUTO: New edge proposed: opening_range_breakout_retest — E8 Intelligence Research
  2. MODEL ADOPTION #1093: REJECT — LEDGER BENCH: Apply filter: Quarterly phase = ACCUMULATION — improves win rate from 31.7% — E8 Intelligence Research
  3. MODEL ADOPTION #1093: REJECT — LEDGER BENCH: Apply filter: Quarterly phase = ACCUMULATION — improves win rate from 31.7% — E8 Intelligence Research
  4. BASE 44 ORDER: Patch system clock with 132 Hz resonance loop — E8 Intelligence Research
  5. EXTRACTED METHOD: solstice_alignment_retrocalculation — E8 Intelligence Research
  6. Survey of Competition Problems Finds No Mathematical Content in Video Summaries — E8 Intelligence Research
  7. Survey of Competition Problems Finds No Mathematical Content in Video Summaries — E8 Intelligence Research
  8. MODEL ADOPTION #1013: REJECT — LEDGER BENCH: Apply filter: Session = NY_OPEN — improves win rate from 31.6% to 37.7% (+6. — E8 Intelligence Research
  9. MODEL ADOPTION #1023: REJECT — LEDGER BENCH: Apply filter: Quarterly phase = MANIPULATION — improves win rate from 31.5% — E8 Intelligence Research
  10. Creating a collective memory
  11. LAB #986 PROMISING: LEDGER BENCH: Apply filter: XAUUSD LONG @ ASIAN with 5 conf — improves win rate from 31.6% to 66.7% — E8 Intelligence Research
  12. MODEL ADOPTION #964: REJECT — LEDGER BENCH: Apply filter: Phase distance MODERATE (5-10deg) — improves win rate from 31. — E8 Intelligence Research
  13. The thrill of the new
  14. MODEL ADOPTION #970: REJECT — LEDGER BENCH: Apply filter: Phase distance TIGHT (
  15. More Than 63% of IEEE VIS Research Liable to be Retracted?! Ethics Approval Statements Protect Participants (and Researchers!)
  16. MODEL ADOPTION #970: REJECT — LEDGER BENCH: Apply filter: Phase distance TIGHT (
  17. HexEval: An Evidence-Driven Hexagonal Framework for Multidimensional Scholar Assessment
  18. MODEL ADOPTION #953: REJECT — LEDGER BENCH: Apply filter: Phase distance FAR (>10deg) — improves win rate from 31.6% to — E8 Intelligence Research
  19. LAB #933 NEUTRAL: TG AUTO: BASE 44 ORDER: Implement E8 root-vector watermarking and cross-link engine — E8 Intelligence Research
  20. MODEL ADOPTION #951: REJECT — LEDGER BENCH: Apply filter: Pool density HIGH (>=90) — improves win rate from 31.6% to 33. — E8 Intelligence Research
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2026 AUG Q3

Competitive and Knowledge Intelligence

99 papers

Top Topics (10)

Intelligence, Security, War Strategy25
Competitive and Knowledge Intelligence12
Complex Systems and Time Series Analysis6
Time Series Analysis and Forecasting3
Data Analysis with R3
Financial Markets and Investment Strategies3
Paranormal Experiences and Beliefs2
Historical Astronomy and Related Studies2
Visual and Cognitive Learning Processes2
Infrared Target Detection Methodologies2

Top Publications (20)

1.MODEL ADOPTION #1138: REJECT — TG AUTO: New edge proposed: opening_range_breakout_retest — E8 Intelligence Research2.MODEL ADOPTION #1093: REJECT — LEDGER BENCH: Apply filter: Quarterly phase = ACCUMULATION — improves win rate from 31.7% — E8 Intelligence Research3.MODEL ADOPTION #1093: REJECT — LEDGER BENCH: Apply filter: Quarterly phase = ACCUMULATION — improves win rate from 31.7% — E8 Intelligence Research4.BASE 44 ORDER: Patch system clock with 132 Hz resonance loop — E8 Intelligence Research5.EXTRACTED METHOD: solstice_alignment_retrocalculation — E8 Intelligence Research6.Survey of Competition Problems Finds No Mathematical Content in Video Summaries — E8 Intelligence Research7.Survey of Competition Problems Finds No Mathematical Content in Video Summaries — E8 Intelligence Research8.MODEL ADOPTION #1013: REJECT — LEDGER BENCH: Apply filter: Session = NY_OPEN — improves win rate from 31.6% to 37.7% (+6. — E8 Intelligence Research9.MODEL ADOPTION #1023: REJECT — LEDGER BENCH: Apply filter: Quarterly phase = MANIPULATION — improves win rate from 31.5% — E8 Intelligence Research10.Creating a collective memory11.LAB #986 PROMISING: LEDGER BENCH: Apply filter: XAUUSD LONG @ ASIAN with 5 conf — improves win rate from 31.6% to 66.7% — E8 Intelligence Research12.MODEL ADOPTION #964: REJECT — LEDGER BENCH: Apply filter: Phase distance MODERATE (5-10deg) — improves win rate from 31. — E8 Intelligence Research13.The thrill of the new14.MODEL ADOPTION #970: REJECT — LEDGER BENCH: Apply filter: Phase distance TIGHT (<=2deg) — improves win rate from 31.6% t — E8 Intelligence Research15.More Than 63% of IEEE VIS Research Liable to be Retracted?! Ethics Approval Statements Protect Participants (and Researchers!)16.MODEL ADOPTION #970: REJECT — LEDGER BENCH: Apply filter: Phase distance TIGHT (<=2deg) — improves win rate from 31.6% t — E8 Intelligence Research17.HexEval: An Evidence-Driven Hexagonal Framework for Multidimensional Scholar Assessment18.MODEL ADOPTION #953: REJECT — LEDGER BENCH: Apply filter: Phase distance FAR (>10deg) — improves win rate from 31.6% to — E8 Intelligence Research19.LAB #933 NEUTRAL: TG AUTO: BASE 44 ORDER: Implement E8 root-vector watermarking and cross-link engine — E8 Intelligence Research20.MODEL ADOPTION #951: REJECT — LEDGER BENCH: Apply filter: Pool density HIGH (>=90) — improves win rate from 31.6% to 33. — E8 Intelligence Research
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