Gábor Gulyás
ORCID: 0000-0002-7465-7932Also affiliated with MTA-SZTE Research Group on Artificial Intelligence
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.
Indexed papers
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.
Dóra Tombácz, Ádám Fülöp, Gábor Torma, Gábor Gulyás, Ákos Dörmő +5 more
Papers
Driven by 4 papers — median percentile 68. Top paper: “KSHV 3.0: a state-of-the-art annotation of the Kaposi’s sarcoma-associated herpesvirus transcriptome using cross-platform sequencing”.
Dóra Tombácz, Ádám Fülöp, Gábor Torma, Gábor Gulyás, Ákos Dörmő +5 more
Dóra Tombácz, Zsolt Csabai, Islam A. A. Almsarrhad, Gergely Ármin Nagy, Balázs Kakuk +14 more
Nenavath Gopal Naik, Dóra Tombácz, Gábor Gulyás, Balázs Kakuk, Zsolt Boldogkői +5 more
Dóra Tombácz, Islam A. A. Almsarrhad, Zsolt Csabai, Gergely Ármin Nagy, Balázs Kakuk +13 more