Stephen Hwang

32 total papers · 687 total citations
26 papers, 453 citations indexed

About

Stephen Hwang is a scholar working on Nuclear and High Energy Physics, Statistical and Nonlinear Physics and Astronomy and Astrophysics. According to data from OpenAlex, Stephen Hwang has authored 26 papers receiving a total of 453 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Nuclear and High Energy Physics, 6 papers in Statistical and Nonlinear Physics and 5 papers in Astronomy and Astrophysics. Recurrent topics in Stephen Hwang's work include Black Holes and Theoretical Physics (21 papers), Quantum Chromodynamics and Particle Interactions (15 papers) and Particle physics theoretical and experimental studies (6 papers). Stephen Hwang is often cited by papers focused on Black Holes and Theoretical Physics (21 papers), Quantum Chromodynamics and Particle Interactions (15 papers) and Particle physics theoretical and experimental studies (6 papers). Stephen Hwang collaborates with scholars based in Sweden, Switzerland and China. Stephen Hwang's co-authors include Robert Marnelius, Måns Henningson, Bo Sundborg, Patrick J. Roberts, Constantin P. Bachas, Gang Chen, Zheyong Fan and Yeuk-Kwan E. Cheung and has published in prestigious journals such as Nuclear Physics B, Physics Letters B and Pacific Journal of Mathematics.

In The Last Decade

Stephen Hwang

23 papers receiving 425 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Stephen Hwang	410	197	136	102	46	26	453
Daniel Krefl	385 0.9×	182 0.9×	166 1.2×	131 1.3×	71 1.5×	23	500
Fedor Levkovich-Maslyuk	364 0.9×	128 0.6×	105 0.8×	116 1.1×	28 0.6×	23	444
Constantinos Papageorgakis	371 0.9×	222 1.1×	198 1.5×	66 0.6×	34 0.7×	32	425
Aldo Riello	396 1.0×	340 1.7×	261 1.9×	38 0.4×	27 0.6×	18	462
Marco Fazzi	380 0.9×	163 0.8×	247 1.8×	67 0.7×	53 1.2×	21	471
Marcus Sperling	404 1.0×	152 0.8×	106 0.8×	133 1.3×	47 1.0×	30	471
Sylvain Carrozza	350 0.9×	299 1.5×	187 1.4×	49 0.5×	33 0.7×	19	409
Č. Crnković	370 0.9×	279 1.4×	150 1.1×	148 1.5×	64 1.4×	14	450
Alba Grassi	435 1.1×	194 1.0×	196 1.4×	135 1.3×	41 0.9×	20	490
Dongmin Gang	368 0.9×	154 0.8×	146 1.1×	165 1.6×	78 1.7×	28	438

Countries citing papers authored by Stephen Hwang

Since Specialization

Citations

This map shows the geographic impact of Stephen Hwang'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 Stephen Hwang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Stephen Hwang more than expected).

Fields of papers citing papers by Stephen Hwang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Stephen Hwang. 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 Stephen Hwang. The network helps show where Stephen Hwang may publish in the future.

Co-authorship network of co-authors of Stephen Hwang

This figure shows the co-authorship network connecting the top 25 collaborators of Stephen Hwang. A scholar is included among the top collaborators of Stephen Hwang 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 Stephen Hwang. Stephen Hwang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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