Latest Research in Ancient Near East History
80 research papers · 2026 median publication year
Top Research Topics in Ancient Near East History
- Intelligence, Security, War Strategy — 32 papers
- Ancient Near East History — 3 papers
- Competitive and Knowledge Intelligence — 2 papers
- Research Data Management Practices — 2 papers
- scientometrics and bibliometrics research — 2 papers
- Human-Automation Interaction and Safety — 2 papers
- Diverse Scientific and Economic Studies — 2 papers
- History and Theory of Mathematics — 2 papers
- Spaceflight effects on biology — 2 papers
- Counseling, Therapy, and Family Dynamics — 2 papers
Highest-Cited Papers
- 卓矢理論 v6: 実演マジックにおける支点・逃げ道管理・原因帰属の認知モデル / Takaya Theory v6: A Cognitive Model of Support Points, Explanatory-Route Management, and Causal Attribution in Performance Magic
- LAB #2415 HARMFUL: LEDGER BENCH: Apply filter: ETHUSD SHORT @ NY_OPEN with 6 conf — improves win rate from 31.1% to 80. — E8 Intelligence Research
- Implementing Open Data Kit (ODK) for in-house evaluation of library business support programs
- THE STAFF RIDE
- LAB #2395 PROMISING: LEDGER BENCH: Apply filter: XAUUSD SHORT @ NY_OPEN with 5 conf — improves win rate from 31.1% to 58. — E8 Intelligence Research
- LAB #2394 NEUTRAL: LEDGER BENCH: Apply filter: Phase distance FAR (>10deg) — improves win rate from 31.1% to 31.4% (+0. — E8 Intelligence Research
- BASE 44 ORDER: Move conference button to access-code page under Stonehenge button — E8 Intelligence Research
- BASE 44 ORDER: Move conference button to access-code page under Stonehenge button — E8 Intelligence Research
- LAB #2334 PROMISING: LEDGER BENCH: Apply filter: Min confirmations >= 6 — improves win rate from 31.6% to 40.3% (+8.7pp, — E8 Intelligence Research
- LAB #2318 NEUTRAL: LEDGER BENCH: Apply filter: GBPUSD LONG — improves win rate from 31.5% to 34.6% (+3.1pp, n=52) — E8 Intelligence Research
- International Data Librarianship: Takeaways from a Fulbright France Experience
- LAB #2318 NEUTRAL: LEDGER BENCH: Apply filter: GBPUSD LONG — improves win rate from 31.5% to 34.6% (+3.1pp, n=52) — E8 Intelligence Research
- International Data Librarianship: Takeaways from a Fulbright France Experience
- LAB #2320 NEUTRAL: LEDGER BENCH: Apply filter: Session = LONDON_OPEN — improves win rate from 31.5% to 31.8% (+0.3pp, n — E8 Intelligence Research
- LAB #2334 PROMISING: LEDGER BENCH: Apply filter: Min confirmations >= 6 — improves win rate from 31.6% to 40.3% (+8.7pp, — E8 Intelligence Research
- Giving and Gaining
- Internet browsers
- Before Validation: How Transition Operationalization Constructs Bibliometric Process Phases
- LAB #2241 NEUTRAL: LEDGER BENCH: Apply filter: Pool density HIGH (>=90) — improves win rate from 31.7% to 33.4% (+1.6pp — E8 Intelligence Research
- Neighbours: Australia and the Pacific