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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.

Lorenzo Cominelli's displayed neighborhood

6 of 6 direct collaborators shown.

View profile
1Distinct papers
6Unique collaborators
6.0Full weighted degree
Active span
7Component size

Scroll the diagram horizontally to inspect every displayed node.

Co-authorship neighborhood for Lorenzo Cominelli 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. Lorenzo Cominelli Caterina Giannetti Cristiano Ciaccio F. Dell’orletta F. Galatolo Giulia Venturi Philipp Chapkovski
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 Lorenzo Cominelli Focal 1 6 6.0 Unavailable
2 Caterina Giannetti Direct collaborator 1 6 6.0 Unavailable
3 Cristiano Ciaccio Direct collaborator 1 6 6.0 Unavailable
4 F. Dell’orletta Direct collaborator 1 6 6.0 Unavailable
5 F. Galatolo Direct collaborator 1 6 6.0 Unavailable
6 Giulia Venturi Direct collaborator 1 6 6.0 Unavailable
7 Philipp Chapkovski Direct collaborator 1 6 6.0 Unavailable

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
F. Dell’orletta — Caterina Giannetti110.167
F. Dell’orletta — Giulia Venturi110.167
F. Dell’orletta — Philipp Chapkovski110.167
F. Dell’orletta — Cristiano Ciaccio110.167
F. Dell’orletta — F. Galatolo110.167
F. Dell’orletta — Lorenzo Cominelli110.167
Caterina Giannetti — Giulia Venturi110.167
Caterina Giannetti — Philipp Chapkovski110.167
Caterina Giannetti — Cristiano Ciaccio110.167
Caterina Giannetti — F. Galatolo110.167
Caterina Giannetti — Lorenzo Cominelli110.167
Giulia Venturi — Philipp Chapkovski110.167
Giulia Venturi — Cristiano Ciaccio110.167
Giulia Venturi — F. Galatolo110.167
Giulia Venturi — Lorenzo Cominelli110.167
Philipp Chapkovski — Cristiano Ciaccio110.167
Philipp Chapkovski — F. Galatolo110.167
Philipp Chapkovski — Lorenzo Cominelli110.167
Cristiano Ciaccio — F. Galatolo110.167
Cristiano Ciaccio — Lorenzo Cominelli110.167
F. Galatolo — Lorenzo Cominelli110.167

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.