Chloë Brown

1.8k total citations
41 papers, 783 citations indexed

About

Chloë Brown is a scholar working on Electrical and Electronic Engineering, Atomic and Molecular Physics, and Optics and Transportation. According to data from OpenAlex, Chloë Brown has authored 41 papers receiving a total of 783 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Electrical and Electronic Engineering, 11 papers in Atomic and Molecular Physics, and Optics and 8 papers in Transportation. Recurrent topics in Chloë Brown's work include Solid State Laser Technologies (11 papers), Human Mobility and Location-Based Analysis (8 papers) and Advanced Fiber Laser Technologies (7 papers). Chloë Brown is often cited by papers focused on Solid State Laser Technologies (11 papers), Human Mobility and Location-Based Analysis (8 papers) and Advanced Fiber Laser Technologies (7 papers). Chloë Brown collaborates with scholars based in United Kingdom, United States and France. Chloë Brown's co-authors include Cecilia Mascolo, Anastasios Noulas, A.C. Tropper, D.P. Shepherd, Jagmohan Chauhan, Mirco Musolesi, Dimitris Spathis, Jing Han, Desislava Hristova and Andreas Grammenos and has published in prestigious journals such as SHILAP Revista de lepidopterología, Applied Physics Letters and PLoS ONE.

In The Last Decade

Chloë Brown

38 papers receiving 765 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Chloë Brown United Kingdom 14 211 175 109 98 89 41 783
Aonghus Lawlor Ireland 18 15 0.1× 45 0.3× 360 3.3× 98 1.0× 36 0.4× 79 1.1k
Gernot Bauer Germany 11 167 0.8× 23 0.1× 33 0.3× 33 0.3× 49 0.6× 24 643
Wenchao Ma United States 18 197 0.9× 180 1.0× 368 3.4× 11 0.1× 14 0.2× 79 1.3k
Yujie Fan China 14 127 0.6× 58 0.3× 264 2.4× 55 0.6× 187 2.1× 56 791
Sabrina Gaito Italy 21 61 0.3× 8 0.0× 149 1.4× 228 2.3× 39 0.4× 103 1.1k
Robert R. Snapp United States 12 17 0.1× 62 0.4× 99 0.9× 43 0.4× 48 0.5× 33 496
Richard K. Darst Finland 10 11 0.1× 39 0.2× 78 0.7× 318 3.2× 16 0.2× 15 637
Chenyang Wang China 21 94 0.4× 334 1.9× 582 5.3× 128 1.3× 28 0.3× 49 1.4k
James Park United States 18 56 0.3× 603 3.4× 380 3.5× 284 2.9× 7 0.1× 125 1.2k

Countries citing papers authored by Chloë Brown

Since Specialization
Citations

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

Fields of papers citing papers by Chloë Brown

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chloë Brown

This figure shows the co-authorship network connecting the top 25 collaborators of Chloë Brown. A scholar is included among the top collaborators of Chloë 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 Chloë Brown. Chloë Brown 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
1.
Naughton, Felix, Chloë Brown, Kelly Grant, et al.. (2024). A smoking cessation smartphone app that delivers real-time ‘context aware’ behavioural support: the Quit Sense feasibility RCT. SHILAP Revista de lepidopterología. 12(4). 1–99. 2 indexed citations
2.
Han, Jing, Marco Montagna, Andreas Grammenos, et al.. (2023). Evaluating Listening Performance for COVID-19 Detection by Clinicians and Machine Learning: Comparative Study. Journal of Medical Internet Research. 25. e44804–e44804. 3 indexed citations
3.
Dang, Ting, Jing Han, Xia Tong, et al.. (2023). Conditional Neural ODE Processes for Individual Disease Progression Forecasting: A Case Study on COVID-19. ePrints Soton (University of Southampton). 3914–3925. 4 indexed citations
4.
Bergler, Christian, Maurice Gerczuk, Chloë Brown, et al.. (2023). A summary of the ComParE COVID-19 challenges. Frontiers in Digital Health. 5. 1058163–1058163. 7 indexed citations
5.
Naughton, Felix, Chloë Brown, Kelly Grant, et al.. (2023). An Automated, Online Feasibility Randomized Controlled Trial of a Just-In-Time Adaptive Intervention for Smoking Cessation (Quit Sense). Nicotine & Tobacco Research. 25(7). 1319–1329. 10 indexed citations
6.
Dang, Ting, Jing Han, Xia Tong, et al.. (2022). Exploring Longitudinal Cough, Breath, and Voice Data for COVID-19 Progression Prediction via Sequential Deep Learning: Model Development and Validation. Journal of Medical Internet Research. 24(6). e37004–e37004. 23 indexed citations
7.
Han, Jing, Xia Tong, Dimitris Spathis, et al.. (2022). Sounds of COVID-19: exploring realistic performance of audio-based digital testing. npj Digital Medicine. 5(1). 16–16. 59 indexed citations
8.
Naughton, Felix, Chloë Brown, Juliet High, et al.. (2021). Randomised controlled trial of a just-in-time adaptive intervention (JITAI) smoking cessation smartphone app: the Quit Sense feasibility trial protocol. BMJ Open. 11(4). e048204–e048204. 10 indexed citations
9.
Han, Jing, Chloë Brown, Jagmohan Chauhan, et al.. (2021). Exploring Automatic COVID-19 Diagnosis via Voice and Symptoms from Crowdsourced Data. arXiv (Cornell University). 63 indexed citations
10.
Brown, Chloë, Vincenzo Nicosia, Salvatore Scellato, Anastasios Noulas, & Cecilia Mascolo. (2021). Where Online Friends Meet: Social Communities in Location-Based Networks. Proceedings of the International AAAI Conference on Web and Social Media. 6(1). 415–418.
11.
Lown, Mark, Michael E. Brown, Chloë Brown, et al.. (2020). Machine learning detection of Atrial Fibrillation using wearable technology. PLoS ONE. 15(1). e0227401–e0227401. 48 indexed citations
12.
Sebastian, Shaji, Jenna Roberts, John Waller, et al.. (2018). PRO2 Based Remote Monitoring in Ulcerative Colitis: A Prospective Real World Study. Value in Health. 21. S258–S258. 1 indexed citations
13.
14.
Naughton, Felix, Neal Lathia, Chloë Brown, et al.. (2016). A Context-Sensing Mobile Phone App (Q Sense) for Smoking Cessation: A Mixed-Methods Study. JMIR mhealth and uhealth. 4(3). e106–e106. 91 indexed citations
15.
Hristova, Desislava, Anastasios Noulas, Chloë Brown, Mirco Musolesi, & Cecilia Mascolo. (2016). A multilayer approach to multiplexity and link prediction in online geo-social networks. EPJ Data Science. 5(1). 24–24. 74 indexed citations
16.
Brown, Chloë, Neal Lathia, Cecilia Mascolo, Anastasios Noulas, & Vincent D. Blondel. (2014). Group Colocation Behavior in Technological Social Networks. PLoS ONE. 9(8). e105816–e105816. 11 indexed citations
17.
Brown, Chloë, Christos Efstratiou, Ilias Leontiadis, et al.. (2014). The architecture of innovation. Kent Academic Repository (University of Kent). 811–822. 43 indexed citations
18.
Lagatsky, A.A., A. R. Sarmani, Chloë Brown, et al.. (2005). Yb^3+-doped YVO_4 crystal for efficient Kerr-lens mode locking in solid-state lasers. Optics Letters. 30(23). 3234–3234. 95 indexed citations
19.
Shepherd, D.P., Chloë Brown, W.A. Clarkson, et al.. (1999). High-numerical-aperture, contact-bonded, planar waveguides for diode-bar-pumped lasers. Optics Communications. 160(1-3). 47–50. 13 indexed citations
20.
Brown, Chloë, D.P. Shepherd, W.A. Clarkson, et al.. (1998). In-Plane Diode-Bar Pumped, Multi-Watt, Nd:Y3Al5On Planar Waveguide Lasers. Conference on Lasers and Electro-Optics Europe. CTuB1–CTuB1. 1 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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