🏆 Finalist — NIH Data Sharing Index (“S-Index”) Challenge

Roberto Fedrigo

University of British Columbia

ORCID: 0000-0003-0436-3856
MedicinePhysics and Astronomy

Pilot corpus only

This score is computed over theSindex pilot corpus and does not cover the full scientific literature. Scores are relative to papers we have ingested — papers, authors, and institutions outside the pilot are not represented. Methodology.

Top 6%percentile
0.339Author DataRank

Indexed papers

1in pilot corpus
datarank_citation_only_1hop_v6· scope data_onlyMethodology
Why this DataRank?

An author's DataRank is the sum of the DataRanks of all 1 indexed paper attributed to them. A prolific author with many moderate-impact papers can outrank one with a single high-impact paper.

Author scores recompute whenever paper DataRanks are refreshed, so this number lags the underlying paper scores by at most one batch run.

Read the full methodology →

Top data-sharing exemplar

The highest-impact dataset this researcher has shared, ranked by DataRank — the single contribution doing the most to lift their data-sharing standing.

Top 51%4 citations

W. Paul Segars, Patrick Martineau, Claire Gowdy, Ingrid Bloise, Carlos Uribe +2 more

Papers

Driven by 5 papers — median percentile 49. Top paper: Development of scalable lymphatic system in the 4D XCAT phantom: Application to quantitative evaluation of lymphoma PET segmentations.

Top 51%4 citations

W. Paul Segars, Patrick Martineau, Claire Gowdy, Ingrid Bloise, Carlos Uribe +2 more

0 citations

Yas Oloumi Yazdi, Jeremy Wong, Roberto Fedrigo, Carlos Uribe‐Munoz, D.J. Kadrmas +3 more

0 citations

Yas Oloumi Yazdi, Jeremy D. Wong, Roberto Fedrigo, Carlos Uribe‐Munoz, D.J. Kadrmas +3 more

14 citations

Yas Oloumi Yazdi, Jeremy Wong, Roberto Fedrigo, Carlos Uribe, D.J. Kadrmas +3 more

0 citations

Yas Oloumi Yazdi, Jeremy D. Wong, Roberto Fedrigo, Carlos Uribe‐Munoz, D.J. Kadrmas +3 more