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Direction, evidence grade, and study type are AI-generated labels (gpt-5-mini), not human-verified. Syntheses are LLM-written. "Tensions" are machine-detected candidates, not confirmed contradictions. A research-acceleration tool, not peer review. How this is built →

Co-authorship neighborhood

A bounded, provider-scoped projection of shared papers in this corpus. It is not a map of importance, influence, intellectual similarity, geography, or causal relationships.

D. Hattori's displayed neighborhood

7 of 7 direct collaborators shown.

View profile
1Distinct papers
7Unique collaborators
7.0Full weighted degree
2026Active span
8Component size

Scroll the diagram horizontally to inspect every displayed node.

Co-authorship neighborhood for D. Hattori A deterministic circular layout of the focal author and up to 20 direct collaborators. Edge thickness represents full shared-paper weight. An ordered table follows the graphic. D. Hattori Issa Sugiura Kazuo Araragi Keita Ogawa Shota Onose Takashi Ishida Taro Makino
Circular placement is deterministic and only prevents overlap. Proximity and direction do not measure intellectual, geographic, social, or causal distance. Square = focal author; circles = collaborators; labels identify the focal and highest-weight neighbors.

Ordered author table

Scroll the table horizontally to see every column.

Accessible table equivalent for nodes in the displayed subgraph, ordered with the focal author first and collaborators by selected edge weight. Metrics use each node's full filtered provider scope, not only displayed edges.
Display orderAuthorRoleDistinct papersUnique collaboratorsWeighted degreeActive span
1 D. Hattori Focal 1 7 7.0 2026
2 Issa Sugiura Direct collaborator 1 7 7.0 2026
3 Kazuo Araragi Direct collaborator 1 7 7.0 2026
4 Keita Ogawa Direct collaborator 1 7 7.0 2026
5 Shota Onose Direct collaborator 1 7 7.0 2026
6 Takashi Ishida Direct collaborator 1 7 7.0 2026
7 Taro Makino Direct collaborator 1 7 7.0 2026
8 Teppei Usuki Direct collaborator 1 7 7.0 2026

Displayed collaboration table

Scroll the table horizontally to see every column.

Undirected co-authorship edges among displayed authors. Each pair is listed once.
Author pairShared papersFull weightFractional weight
D. Hattori — Teppei Usuki110.143
D. Hattori — Kazuo Araragi110.143
D. Hattori — Takashi Ishida110.143
D. Hattori — Shota Onose110.143
D. Hattori — Taro Makino110.143
D. Hattori — Issa Sugiura110.143
D. Hattori — Keita Ogawa110.143
Teppei Usuki — Kazuo Araragi110.143
Teppei Usuki — Takashi Ishida110.143
Teppei Usuki — Shota Onose110.143
Teppei Usuki — Taro Makino110.143
Teppei Usuki — Issa Sugiura110.143
Teppei Usuki — Keita Ogawa110.143
Kazuo Araragi — Takashi Ishida110.143
Kazuo Araragi — Shota Onose110.143
Kazuo Araragi — Taro Makino110.143
Kazuo Araragi — Issa Sugiura110.143
Kazuo Araragi — Keita Ogawa110.143
Takashi Ishida — Shota Onose110.143
Takashi Ishida — Taro Makino110.143
Takashi Ishida — Issa Sugiura110.143
Takashi Ishida — Keita Ogawa110.143
Shota Onose — Taro Makino110.143
Shota Onose — Issa Sugiura110.143
Shota Onose — Keita Ogawa110.143
Taro Makino — Issa Sugiura110.143
Taro Makino — Keita Ogawa110.143
Issa Sugiura — Keita Ogawa110.143

Graph construction and limits

Each distinct paper contributes an undirected pair for every two eligible identities in its deduplicated latest Semantic Scholar author list. Self-loops are removed. Solo papers count toward an author's paper total but create no edge. The selected display is an ego subgraph. Paper, collaborator, weighted-degree, and active-span metrics for every displayed node use the full filtered provider view; component size describes the focal author's component.

Immutable provider payloads are stored once. A separate receipt log records a later delivery of an earlier payload, so roster reversions remain visible. Exact duplicate receipts are idempotent. Equal timestamps use receipt insertion order as the tie-breaker.

Co-authorship records shared paper attribution only. It does not establish contribution size, research quality, influence, friendship, topic similarity, or citation relationships.