Jianbo Gao

5.5k citations
127 papers · 4.3k indexed · h-index 35
Topics
Complex Systems and Time Series Analysis (57 papers)Chaos control and synchronization (44 papers)Nonlinear Dynamics and Pattern Formation (22 papers)

In The Last Decade

Jianbo Gao

122 papers receiving 4.1k citations

Peers

Jianbo Gao
Comparison fields: 5 of 158
  • Statistical and Nonlinear Physics 1.7k
  • Economics and Econometrics 1.4k
  • Cognitive Neuroscience 887
  • Computer Networks and Communications 757
  • Molecular Biology 580
Replace M. Carmen Romano with:
M. Carmen Romano United Kingdom
Marko Thiel Germany
Andrew M. Fraser United States
Timothy Sauer United States
Matthew B. Kennel United States
Martin Casdagli United States
Joseph P. Zbilut United States
B. Galdrikian United States
Reggie Brown United States
Christoph Bandt Germany
Jianbo Gao relative to M. Carmen Romano United Kingdom M. Carmen Romano's profile →
Citations per field
00.5×1.5×
M. Carmen Romano · 1×
Citations per year

Countries citing papers authored by Jianbo Gao

Since Specialization
Citations

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

Fields of papers citing papers by Jianbo Gao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jianbo Gao

This figure shows the co-authorship network connecting the top 25 collaborators of Jianbo Gao. A scholar is included among the top collaborators of Jianbo Gao 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 Jianbo Gao. Jianbo Gao 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 0
2 1
3 12
4 0
5 11
6 18
7 18
8 51
9 8
10 25
11 29
12 69
13 67
14 54
15 10
16 150
17 5
18 1
19 447
20 24

About Jianbo Gao

Jianbo Gao is a scholar working on Statistical and Nonlinear Physics, Economics and Econometrics and Computer Networks and Communications, having authored 127 papers that have together received 4.3k indexed citations. Recurring topics across this work include Complex Systems and Time Series Analysis (57 papers), Chaos control and synchronization (44 papers) and Nonlinear Dynamics and Pattern Formation (22 papers). The work is most often cited by research in Statistical and Nonlinear Physics (1.7k citations), Economics and Econometrics (1.4k citations) and Cognitive Neuroscience (887 citations). Jianbo Gao has collaborated with scholars based in United States, China and Denmark. Frequent co-authors include Wen‐wen Tung, Jing Hu, Yinping Cao, J. M. Liu, Sheng-Kwang Hwang, V. Protopopescu, L.M. Hively, Huaqing Cai, J.C. Principe and Keith D. White. Their work appears in journals such as Physical Review Letters, PLoS ONE and NeuroImage.

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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