H. Jane Bae

918 citations
28 papers · 607 indexed · 1 hit paper · h-index 11

H. Jane Bae

27 papers receiving 575 citations

Hit Papers

Scientific multi-agent reinforcement learning for wall-mo...20222026202320242022255075100

Peers

H. Jane Bae
Comparison fields: 5 of 40
  • Computational Mechanics 522
  • Environmental Engineering 220
  • Aerospace Engineering 144
  • Statistical and Nonlinear Physics 136
  • Atmospheric Science 107
Replace Le Fang with:
Le Fang China
Mattias Chevalier Sweden
L. Temmerman United Kingdom
George Ilhwan Park United States
S. I. Chernyshenko United Kingdom
Julien Bodart France
Taraneh Sayadi France
Václav Uruba Czechia
Yann Fraigneau France
Simon J. Illingworth Australia
H. Jane Bae relative to Le Fang China Le Fang's profile →
Citations per field
00.5×3.6×
Le Fang · 1×
Citations per year

Countries citing papers authored by H. Jane Bae

Since Specialization
Citations

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

Fields of papers citing papers by H. Jane Bae

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by H. Jane Bae. 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 H. Jane Bae. The network helps show where H. Jane Bae may publish in the future.

Co-authorship network of co-authors of H. Jane Bae

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

All Works

20 of 20 papers shown
#WorkIndexed citations
1 11
2 4
3 2
4 2
5 1
6 45
7 13
8 12
9 3
10 5
11
Scientific multi-agent reinforcement learning for wall-models of turbulent flowsbreakdown →
109
12 5
13 9
14 10
15 27
16 39
17 61
18 3
19 1
20 141

About H. Jane Bae

H. Jane Bae is a scholar working on Computational Mechanics, Environmental Engineering and Atmospheric Science, having authored 28 papers that have together received 607 indexed citations. Recurring topics across this work include Fluid Dynamics and Turbulent Flows (28 papers), Wind and Air Flow Studies (12 papers) and Fluid Dynamics and Vibration Analysis (8 papers). The work is most often cited by research in Computational Mechanics (522 citations), Environmental Engineering (220 citations) and Statistical and Nonlinear Physics (136 citations). H. Jane Bae has collaborated with scholars based in United States, Spain and Denmark. Frequent co-authors include Adrián Lozano-Durán, Parviz Moin, Petros Koumoutsakos, Roel Verstappen, Mahdi Abkar, Sanjeeb Bose, Beverley McKeon, Scott T. M. Dawson, Xiang I. A. Yang and Andrew F. Thompson. Their work appears in journals such as Nature Communications, Journal of Fluid Mechanics and Journal of Computational Physics.

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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