Szabolcs Márka

Columbia University

Physics 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 100%percentile

0Author DataRank

Indexed papers

0in pilot corpus

datarank_citation_only_1hop_v6· scope data_onlyMethodology

Papers

Driven by 9 papers. Top paper: “Observation of Gravitational Waves from a Binary Black Hole Merger”.

Observation of Gravitational Waves from a Binary Black Hole Merger

Physical Review Letters(2016)10.1103/physrevlett.116.061102

N/A

1.4DataRank · unranked

14058 citations

R. Abbott, T. D. Abbott, M. R. Abernathy, F. Acernese, K. Ackley +1071 more

Enhancing gravitational-wave science with machine learning

Machine Learning Science and Technology(2020)10.1088/2632-2153/abb93a

N/A

0DataRank · unranked

165 citations

Jade Powell, M. Cavaglià, Kendall Ackley, Michał Bejger, Chayan Chatterjee +21 more

Potential COVID-19 therapeutics from a rare disease: weaponizing lipid dysregulation to combat viral infectivity

Journal of Lipid Research(2020)10.1194/jlr.r120000851

N/A

0DataRank · unranked

50 citations

Tamayanthi Rajakumar, Natalie Hammond, Katsumi Higaki, Z. Márka, Szabolcs Márka +2 more

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

Search for Black Hole Merger Families

The Astrophysical Journal Letters(2021)10.3847/2041-8213/abd721

N/A

0DataRank · unranked

17 citations

Andrew G. Sullivan, Z. Márka, I. Bartos, K. Rainer Corley, Johan Samsing +3 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