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

Evelin Szögi

Eötvös Loránd University

ORCID: 0009-0008-5818-374X

Also affiliated with HUN-REN Institute for Computer Science and Control

EngineeringNeuroscienceMedicineBiochemistry, Genetics and Molecular Biology

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
0.214Author 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 63%3 citations

Evelin Szögi, Bálint Varga, Vince Grolmusz, László Keresztes

Papers

Driven by 3 papers — median percentile 37. Top paper: Introducing and applying Newtonian blurring: an augmented dataset of 126,000 human connectomes at braingraph.org.

Top 63%3 citations

Evelin Szögi, Bálint Varga, Vince Grolmusz, László Keresztes

3 citations

Evelin Szögi, Bálint Varga, Vince Grolmusz, László Keresztes

0 citations

Evelin Szögi, Bálint Varga, Vince Grolmusz, László Keresztes