R. Colgan

ORCID: 0000-0002-2008-2512

Physics and AstronomyEarth and Planetary 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

0in pilot corpus

datarank_citation_only_1hop_v6· scope data_onlyMethodology

Papers

Driven by 5 papers. Top paper: “Efficient gravitational-wave glitch identification from environmental data through machine learning”.

Efficient gravitational-wave glitch identification from environmental data through machine learning

Physical review. D/Physical review. D.(2020)10.1103/physrevd.101.102003

N/A

0DataRank · unranked

58 citations

K. R. Corley, Yenson Lau, I. Bartos, John Wright, Z. Márka +2 more

Generalized approach to matched filtering using neural networks

Physical review. D/Physical review. D.(2022)10.1103/physrevd.105.043006

N/A

0DataRank · unranked

31 citations

Mariam Avagyan, R. Colgan, Doğa Veske, I. Bartos, John L. Wright +3 more

Boosting the efficiency of parametric detection with hierarchical neural networks

Physical review. D/Physical review. D.(2022)10.1103/physrevd.106.063008

N/A

0DataRank · unranked

2 citations

R. Colgan, John L. Wright, Z. Márka, I. Bartos, Szabolcs Márka +1 more

Detecting and diagnosing terrestrial gravitational-wave mimics through feature learning

Physical review. D/Physical review. D.(2023)10.1103/physrevd.107.062006

N/A

0DataRank · unranked

3 citations

Z. Márka, Jingkai Yan, I. Bartos, John Wright, Szabolcs Márka +1 more

Architectural optimization and feature learning for high-dimensional time series datasets

Physical review. D/Physical review. D.(2023)10.1103/physrevd.107.022009

N/A

0DataRank · unranked

1 citations

Jingkai Yan, Z. Márka, I. Bartos, Szabolcs Márka, John Wright +1 more