Helen Susannah Moat

3.0k total citations
42 papers, 2.0k citations indexed

About

Helen Susannah Moat is a scholar working on Epidemiology, Sociology and Political Science and Economics and Econometrics. According to data from OpenAlex, Helen Susannah Moat has authored 42 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Epidemiology, 12 papers in Sociology and Political Science and 11 papers in Economics and Econometrics. Recurrent topics in Helen Susannah Moat's work include Data-Driven Disease Surveillance (16 papers), Complex Systems and Time Series Analysis (10 papers) and Human Mobility and Location-Based Analysis (8 papers). Helen Susannah Moat is often cited by papers focused on Data-Driven Disease Surveillance (16 papers), Complex Systems and Time Series Analysis (10 papers) and Human Mobility and Location-Based Analysis (8 papers). Helen Susannah Moat collaborates with scholars based in United Kingdom, United States and Netherlands. Helen Susannah Moat's co-authors include Tobias Preis, H. Eugene Stanley, Chanuki Illushka Seresinhe, Chester Curme, Steven R. Bishop, Federico Botta, Adam Avakian, Dror Y. Kenett, George MacKerron and D. Helbing and has published in prestigious journals such as Proceedings of the National Academy of Sciences, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Helen Susannah Moat

42 papers receiving 1.9k citations

Peers

Helen Susannah Moat

SPS

SNP

EPIDE

FINAN

Matteo Cinelli Italy

Göran Kauermann Germany

Ryan Kennedy United States

George Tita United States

Filip Agneessens United Kingdom

Zachary P. Neal United States

Taylor Shelton United States

Tony Smith United States

David García Austria

Matteo Cinelli Italy

Helen Susannah Moat

1.0k ×2.2

SPS

342 ×0.7

427 ×1.3

SNP

120 ×0.4

EPIDE

27 ×0.1

FINAN

Citations per year, relative to Helen Susannah Moat Helen Susannah Moat (= 1×) peers Matteo Cinelli

Countries citing papers authored by Helen Susannah Moat

Since Specialization

Citations

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

Fields of papers citing papers by Helen Susannah Moat

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Helen Susannah Moat. 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 Helen Susannah Moat. The network helps show where Helen Susannah Moat may publish in the future.

Co-authorship network of co-authors of Helen Susannah Moat

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

All Works

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20 of 20 papers shown

Preis, Tobias, Leonardo Soares Bastos, Marcelo Ferreira da Costa Gomes, et al.. (2022). Faster indicators of chikungunya incidence using Google searches. PLoS neglected tropical diseases. 16(6). e0010441–e0010441. 2 indexed citations

McKenna, Russell, Jann Michael Weinand, Ismir Mulalic, et al.. (2021). Scenicness assessment of onshore wind sites with geotagged photographs and impacts on approval and cost-efficiency. Nature Energy. 6(6). 663–672. 36 indexed citations

Moat, Helen Susannah, et al.. (2020). Using aircraft location data to estimate current economic activity. Scientific Reports. 10(1). 7576–7576. 10 indexed citations

Botta, Federico, Tobias Preis, & Helen Susannah Moat. (2020). In search of art: rapid estimates of gallery and museum visits using Google Trends. EPJ Data Science. 9(1). 8 indexed citations

Seresinhe, Chanuki Illushka, Tobias Preis, & Helen Susannah Moat. (2017). Using deep learning to quantify the beauty of outdoor places. Royal Society Open Science. 4(7). 170170–170170. 87 indexed citations

Preis, Tobias, et al.. (2016). Tracking Protests Using Geotagged <i>Flickr</i> Photographs. Figshare. 12 indexed citations

Seresinhe, Chanuki Illushka, Tobias Preis, & Helen Susannah Moat. (2016). Quantifying the link between art and property prices in urban neighbourhoods. Royal Society Open Science. 3(4). 160146–160146. 16 indexed citations

Botta, Federico, Helen Susannah Moat, & Tobias Preis. (2015). Quantifying Crowd Size with Mobile Phone and Twitter Data. SSRN Electronic Journal. 10 indexed citations

Seresinhe, Chanuki Illushka, Tobias Preis, & Helen Susannah Moat. (2015). Quantifying the Impact of Scenic Environments on Health. Scientific Reports. 5(1). 16899–16899. 79 indexed citations

10.

Botta, Federico, Helen Susannah Moat, H. Eugene Stanley, & Tobias Preis. (2015). Quantifying Stock Return Distributions in Financial Markets. PLoS ONE. 10(9). e0135600–e0135600. 33 indexed citations

11.

Moat, Helen Susannah, et al.. (2015). The advantage of short paper titles. Royal Society Open Science. 2(8). 150266–150266. 105 indexed citations

12.

Lim, May, et al.. (2015). Quantifying Regional Differences in the Length of Twitter Messages. PLoS ONE. 10(4). e0122278–e0122278. 7 indexed citations

13.

Barchiesi, Daniele, et al.. (2015). Quantifying International Travel Flows Using Flickr. PLoS ONE. 10(7). e0128470–e0128470. 37 indexed citations

14.

Preis, Tobias & Helen Susannah Moat. (2014). Adaptive Nowcasting of Influenza Outbreaks Using Google Searches. Warwick Research Archive Portal (University of Warwick). 8 indexed citations

15.

Noguchi, Takao, Neil Stewart, Christopher Y. Olivola, Helen Susannah Moat, & Tobias Preis. (2014). Characterizing the Time-Perspective of Nations with Search Engine Query Data. PLoS ONE. 9(4). e95209–e95209. 15 indexed citations

16.

Moat, Helen Susannah, et al.. (2013). Quantifying the Relationship between Financial News and the Stock Market. Warwick Research Archive Portal (University of Warwick). 1 indexed citations

17.

Preis, Tobias, Helen Susannah Moat, & H. Eugene Stanley. (2013). Quantifying Trading Behavior in Financial Markets Using Google Trends. Scientific Reports. 3(1). 1684–1684. 92 indexed citations

18.

Moat, Helen Susannah, et al.. (2013). Quantifying the Relationship Between Financial News and the Stock Market. Scientific Reports. 3(1). 3578–3578. 120 indexed citations

19.

Preis, Tobias, Helen Susannah Moat, Steven R. Bishop, Philip Treleaven, & H. Eugene Stanley. (2013). Quantifying the Digital Traces of Hurricane Sandy on Flickr. Scientific Reports. 3(1). 3141–3141. 68 indexed citations

20.

Corley, Martin, et al.. (2011). Error biases in inner and overt speech: Evidence from tongue twisters.. Journal of Experimental Psychology Learning Memory and Cognition. 37(1). 162–175. 34 indexed citations

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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