Francis Austin

22 total papers · 566 total citations
21 papers, 477 citations indexed

About

Francis Austin is a scholar working on Computer Networks and Communications, Statistical and Nonlinear Physics and Public Health, Environmental and Occupational Health. According to data from OpenAlex, Francis Austin has authored 21 papers receiving a total of 477 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Computer Networks and Communications, 12 papers in Statistical and Nonlinear Physics and 4 papers in Public Health, Environmental and Occupational Health. Recurrent topics in Francis Austin's work include Nonlinear Dynamics and Pattern Formation (14 papers), Neural Networks Stability and Synchronization (12 papers) and Chaos control and synchronization (7 papers). Francis Austin is often cited by papers focused on Nonlinear Dynamics and Pattern Formation (14 papers), Neural Networks Stability and Synchronization (12 papers) and Chaos control and synchronization (7 papers). Francis Austin collaborates with scholars based in Hong Kong and China. Francis Austin's co-authors include Shihua Chen, Wanli Guo, Yasir Khan, Wen Sun, Xiaoqing Lu, Jianwen Feng, Chen Xu, Naeem Faraz, Jinhu Lü and Jingyi Wang and has published in prestigious journals such as Physics Letters A, Communications in Nonlinear Science and Numerical Simulation and Chaos An Interdisciplinary Journal of Nonlinear Science.

In The Last Decade

Francis Austin

19 papers receiving 426 citations

Author Peers

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

Author						Papers	Cites
Francis Austin	364	202	88	77	50	21	477
Dan Yang	269 0.7×	99 0.5×	248 2.8×	75 1.0×	48 1.0×	20	504
P. Muthukumar	240 0.7×	393 1.9×	92 1.0×	91 1.2×	10 0.2×	18	540
Mohammed-Salah Abdelouahab	180 0.5×	242 1.2×	47 0.5×	176 2.3×	30 0.6×	28	488
Majid Roohi	151 0.4×	205 1.0×	158 1.8×	102 1.3×	42 0.8×	22	493
Vineet Shekher	313 0.9×	145 0.7×	83 0.9×	53 0.7×	18 0.4×	27	461
Lisheng Yin	189 0.5×	163 0.8×	196 2.2×	104 1.4×	16 0.3×	19	534
Zaitang Huang	144 0.4×	104 0.5×	119 1.4×	143 1.9×	66 1.3×	40	522
Min Shi	235 0.6×	196 1.0×	108 1.2×	69 0.9×	13 0.3×	29	427
D. Porto	270 0.7×	313 1.5×	124 1.4×	177 2.3×	13 0.3×	18	501
Ahmed Abdelwahab	135 0.4×	275 1.4×	119 1.4×	230 3.0×	51 1.0×	15	532

Countries citing papers authored by Francis Austin

Since Specialization

Citations

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

Fields of papers citing papers by Francis Austin

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Francis Austin

This figure shows the co-authorship network connecting the top 25 collaborators of Francis Austin. A scholar is included among the top collaborators of Francis Austin 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 Francis Austin. Francis Austin 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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