Sahalovy.ch · Registry Data Analysis
v661/R641 · public-preview analytical view · English only
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What the registry data actually says

Analysis of the registry data: technology dynamics, topic intersections, convergence, science↔patent↔industry signals, institutions, geography, temporal lags, and data-indicated whitespace.

Important: Publication↔Topic edges are exact R641 data. Patent→Topic and Industry→Topic values are analytical thematic mappings of content fields and are used as signals, not as new canonical relationships.

Key findings

Technology momentum · top 8

Strongest topic convergence

N01Technology Dynamics

Publications by year

Mapped patent families by priority year

Research institutions

Geographic specialization

N02Topic Intersection Matrix

N03Technology Convergence

Accelerating pair overlaps

Selected pair — shared publications over time

N04Science ↔ Patent ↔ Industry

These values are not additive: they are three different scale signals. Publications are exact R641 data; patents and industrial supplier counts are thematic mappings.

N05Technology Momentum

Combined momentum ranking

2016–2020 → 2021–2025

N06Emerging Technologies — automatic discovery

There is no predefined technology list here. Candidates are extracted automatically from current R641 publication titles as 2–5-word phrases, then compared across 2016–2020 and 2021–2025, with 2026 shown separately. Patent and industry counts are support signals based on exact normalized phrase matching, not new canonical relationships.

Top automatically discovered concepts

Stage distribution

Selected concept — literature trajectory

Why it surfaced

Discovery method

N07Declining / Saturating Technologies

Topic-level trajectories

Concepts with saturation / mixed signals

N08Company Technology Matrix

This is a technology-breadth signal derived from thematically mapped industrial records; it is not a market-share ranking.

N09Scientific & Inventor Network

Rank combines topic breadth, publication edges, and patent edges. Only high-level bridge nodes are shown.

N10Affiliation / Institution Landscape

Cross-topic institutional bridges

Institutions by topic

N11Geography of Technology

Specialization for selected topic

Strong robust country-topic specializations

LQ > 1 means the topic is more concentrated in that country than in the mapped industrial corpus overall. RF is excluded from public-facing output.

N12Patent–Literature Lag

Lag is the difference between the activity centers of patenting and literature over 2000–2025. A positive lag means patent activity occurs later than literature activity. This is an association, not causality.

N13Industrialization Gap

The log-normalized scale of literature plus mapped patents is compared with the mapped industrial supplier footprint. A positive value means the knowledge/IP layer is broader than the industrial footprint in this thematic model.

N14Technology Opportunity Map

This is not a commercial forecast. The score is a heuristic whitespace indicator combining growth, recent activity, patent evidence, and relative scarcity of industrial signals.

N15What the Data Says