Charlotte Brown

61 total papers · 1.4k total citations
44 papers, 977 citations indexed

About

Charlotte Brown is a scholar working on Sociology and Political Science, Emergency Medical Services and Civil and Structural Engineering. According to data from OpenAlex, Charlotte Brown has authored 44 papers receiving a total of 977 indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Sociology and Political Science, 14 papers in Emergency Medical Services and 13 papers in Civil and Structural Engineering. Recurrent topics in Charlotte Brown's work include Disaster Management and Resilience (30 papers), Disaster Response and Management (14 papers) and Infrastructure Resilience and Vulnerability Analysis (12 papers). Charlotte Brown is often cited by papers focused on Disaster Management and Resilience (30 papers), Disaster Response and Management (14 papers) and Infrastructure Resilience and Vulnerability Analysis (12 papers). Charlotte Brown collaborates with scholars based in New Zealand, United States and Canada. Charlotte Brown's co-authors include Erica Seville, Mark Milke, John J. Vargo, Caroline Orchiston, Girish Prayag, Joanne Stevenson, Sonia Giovinazzi, Ilan Noy, David Middleton and Sarb Johal and has published in prestigious journals such as Annals of Tourism Research, Waste Management and Resources Conservation and Recycling.

In The Last Decade

Charlotte Brown

40 papers receiving 917 citations

Author Peers

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

Author						Papers	Cites
Charlotte Brown	473	234	211	176	152	44	977
Rongbing Huang	227 0.5×	51 0.2×	243 1.2×	266 1.5×	198 1.3×	40	1.2k
Henry H. Willis	408 0.9×	311 1.3×	53 0.3×	104 0.6×	70 0.5×	91	1.2k
Melissa Teo	411 0.9×	136 0.6×	28 0.1×	253 1.4×	70 0.5×	34	1.2k
Hiba Baroud	247 0.5×	542 2.3×	57 0.3×	158 0.9×	47 0.3×	56	1.1k
Georgios Boustras	227 0.5×	92 0.4×	50 0.2×	114 0.6×	56 0.4×	88	1.2k
Yoshio Kajitani	356 0.8×	400 1.7×	86 0.4×	107 0.6×	153 1.0×	61	985
Yan Tu	187 0.4×	105 0.4×	66 0.3×	131 0.7×	96 0.6×	65	1.0k
Guofang Zhai	410 0.9×	149 0.6×	98 0.5×	25 0.1×	321 2.1×	80	1.2k
Vaughan Coffey	192 0.4×	65 0.3×	57 0.3×	318 1.8×	127 0.8×	61	1.0k
Temitope Egbelakin	189 0.4×	149 0.6×	41 0.2×	294 1.7×	108 0.7×	60	991

Countries citing papers authored by Charlotte Brown

Since Specialization

Citations

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

Fields of papers citing papers by Charlotte Brown

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Charlotte Brown

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