N. Raza

577 total citations
3 papers, 7 citations indexed

About

N. Raza is a scholar working on Astronomy and Astrophysics, Nuclear and High Energy Physics and Artificial Intelligence. According to data from OpenAlex, N. Raza has authored 3 papers receiving a total of 7 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Astronomy and Astrophysics, 2 papers in Nuclear and High Energy Physics and 1 paper in Artificial Intelligence. Recurrent topics in N. Raza's work include Gamma-ray bursts and supernovae (3 papers), Pulsars and Gravitational Waves Research (3 papers) and Astrophysics and Cosmic Phenomena (2 papers). N. Raza is often cited by papers focused on Gamma-ray bursts and supernovae (3 papers), Pulsars and Gravitational Waves Research (3 papers) and Astrophysics and Cosmic Phenomena (2 papers). N. Raza collaborates with scholars based in Canada, United States and United Kingdom. N. Raza's co-authors include A. Mahabal, Daryl Haggard, J. McIver, M. Chan, F. Di Renzo, P. J. Sutton, M. W. Coughlin, Shaon Ghosh, Y. K. Lecoeuche and Raymond T. Ng and has published in prestigious journals such as The Astrophysical Journal.

In The Last Decade

N. Raza

2 papers receiving 5 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
N. Raza Canada	2	6	4	1	1	1	3	7
Darby Kramer United Kingdom	2	6 1.0×	4 1.0×				3	7
E. Ruiz-Velasco Germany	2	6 1.0×	4 1.0×			1 1.0×	4	6
Hao-Jie Lin China	2	5 0.8×	4 1.0×	1 1.0×			2	5
Axl F. Rogers Australia	2	7 1.2×	4 1.0×	1 1.0×			2	8
Noemi La Bella Netherlands	2	6 1.0×	3 0.8×				2	6
Robyn L. Munoz United Kingdom	2	5 0.8×	5 1.3×				2	5
L. Q. Huang China	3	8 1.3×	4 1.0×	1 1.0×		1 1.0×	4	11
M. Romanello	1	5 0.8×	3 0.8×				3	6
Kyle Massingill France	2	5 0.8×	3 0.8×				2	5
Luc Dumaye France	2	7 1.2×	4 1.0×				3	8

Countries citing papers authored by N. Raza

Since Specialization

Citations

This map shows the geographic impact of N. Raza's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by N. Raza with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites N. Raza more than expected).

Fields of papers citing papers by N. Raza

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by N. Raza. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by N. Raza. The network helps show where N. Raza may publish in the future.

Co-authorship network of co-authors of N. Raza

This figure shows the co-authorship network connecting the top 25 collaborators of N. Raza. A scholar is included among the top collaborators of N. Raza based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with N. Raza. N. Raza is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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3 of 3 papers shown

1.

Raza, N., M. Chan, Daryl Haggard, et al.. (2025). GWSkyNet-Multi. II. An Updated Machine Learning Model for Rapid Classification of Gravitational-wave Events. The Astrophysical Journal. 992(1). 152–152.

2.

Chan, M., J. McIver, A. Mahabal, et al.. (2024). GWSkyNet. II. A Refined Machine-learning Pipeline for Real-time Classification of Public Gravitational Wave Alerts. The Astrophysical Journal. 972(1). 50–50. 2 indexed citations

3.

Raza, N., et al.. (2024). Explaining the GWSkyNet-Multi Machine Learning Classifier Predictions for Gravitational-wave Events. The Astrophysical Journal. 963(2). 98–98. 5 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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