Shanmugasundaram Venkataraman

Royal Netherlands Academy of Arts and Sciences

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 100%percentile

0Author 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 →

Papers

Driven by 3 papers. Top paper: “LAMA: automated image analysis for the developmental phenotyping of mouse embryos”.

LAMA: automated image analysis for the developmental phenotyping of mouse embryos

Development(2021)10.1242/dev.192955

N/A

0.457DataRank · unranked

20 citations

Shanmugasundaram Venkataraman, Chris Armit, Ramón Casero, James M. Brown, Michael D. Wong +9 more

Towards FAIRification of learning resources and catalogues—lessons learnt from research communities

Frontiers in Education(2024)10.3389/feduc.2024.1390444

N/A

0.208DataRank · unranked

3 citations

Louise Bezuidenhout, Shanmugasundaram Venkataraman, Iulianna van der Lek, Celia van Gelder, Iryna Kuchma +7 more

LAMA: Automated image analysis for developmental phenotyping of mouse embryos

bioRxiv (Cold Spring Harbor Laboratory)(2020)10.1101/2020.05.04.075853

N/A

0DataRank · unranked

1 citations

Shanmugasundaram Venkataraman, Ramón Casero, James M. Brown, Sara Johnson, Lydia Teboul +5 more