Ella Browning

1.7k total citations · 2 hit papers
14 papers, 1.0k citations indexed

About

Ella Browning is a scholar working on Ecology, Ecology, Evolution, Behavior and Systematics and Ecological Modeling. According to data from OpenAlex, Ella Browning has authored 14 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Ecology, 5 papers in Ecology, Evolution, Behavior and Systematics and 5 papers in Ecological Modeling. Recurrent topics in Ella Browning's work include Species Distribution and Climate Change (5 papers), Bat Biology and Ecology Studies (5 papers) and Marine animal studies overview (4 papers). Ella Browning is often cited by papers focused on Species Distribution and Climate Change (5 papers), Bat Biology and Ecology Studies (5 papers) and Marine animal studies overview (4 papers). Ella Browning collaborates with scholars based in United Kingdom, United States and Brazil. Ella Browning's co-authors include Kate E. Jones, Rory Gibb, Paul Glover‐Kapfer, Robin Freeman, Nick J. B. Isaac, José J. Lahoz‐Monfort, Marta A. Jarzyna, Stephen N. Freeman, Peter A. Henrys and Philipp H. Boersch‐Supan and has published in prestigious journals such as Trends in Ecology & Evolution, Journal of Autism and Developmental Disorders and PLoS Computational Biology.

In The Last Decade

Ella Browning

13 papers receiving 1.0k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Emerging opportunities and challenges for passive acoustics in ecological assessment and monitoring

2018 438 citations Rory Gibb, Ella Browning et al. Methods in Ecology and Evolution profile →
Data Integration for Large-Scale Models of Species Distributions

2019 251 citations Nick J. B. Isaac, Marta A. Jarzyna et al. Trends in Ecology & Evolution profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Ella Browning United Kingdom	8	669	442	325	238	148	14	1.0k
Jill L. Deppe United States	14	979 1.5×	572 1.3×	252 0.8×	342 1.4×	143 1.0×	33	1.2k
Connor M. Wood United States	19	849 1.3×	675 1.5×	345 1.1×	173 0.7×	158 1.1×	54	1.3k
Marconi Campos‐Cerqueira United States	18	818 1.2×	845 1.9×	206 0.6×	317 1.3×	147 1.0×	30	1.3k
Larissa Sayuri Moreira Sugai Brazil	11	638 1.0×	617 1.4×	139 0.4×	214 0.9×	77 0.5×	21	944
Paul Glover‐Kapfer United Kingdom	5	627 0.9×	347 0.8×	223 0.7×	154 0.6×	53 0.4×	5	804
José Wagner Ribeiro Brazil	9	453 0.7×	376 0.9×	167 0.5×	181 0.8×	95 0.6×	15	714
Cristian Pérez‐Granados Spain	19	792 1.2×	673 1.5×	198 0.6×	352 1.5×	119 0.8×	81	1.1k
Miguel A. Acevedo United States	15	504 0.8×	297 0.7×	167 0.5×	170 0.7×	132 0.9×	42	976
Kevin Darras Germany	13	624 0.9×	393 0.9×	198 0.6×	382 1.6×	127 0.9×	22	935
Diego Llusia Spain	19	841 1.3×	982 2.2×	206 0.6×	479 2.0×	80 0.5×	50	1.4k

Countries citing papers authored by Ella Browning

Since Specialization

Citations

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

Fields of papers citing papers by Ella Browning

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ella Browning

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

All Works

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14 of 14 papers shown

Aodha, Oisin Mac, et al.. (2024). Whombat: An open‐source audio annotation tool for machine learning assisted bioacoustics. Methods in Ecology and Evolution. 16(1). 19–28. 3 indexed citations

Browning, Ella, Mike Christie, Mikołaj Czajkowski, et al.. (2024). Valuing the economic benefits of species recovery programmes. People and Nature. 6(2). 894–905.

Musah, Anwar, Ella Browning, Tércio Ambrizzi, et al.. (2023). Coalescing disparate data sources for the geospatial prediction of mosquito abundance, using Brazil as a motivating case study. Frontiers in Tropical Diseases. 4. 4 indexed citations

Thapa, Resham, Anurag Garikipati, M. Ciobanu, et al.. (2023). Machine Learning Differentiation of Autism Spectrum Sub-Classifications. Journal of Autism and Developmental Disorders. 54(11). 4216–4231. 6 indexed citations

Garikipati, Anurag, Frank A. Dinenno, Mădălina Ciobanu, et al.. (2023). Machine learning determination of applied behavioral analysis treatment plan type. Brain Informatics. 10(1). 7–7. 12 indexed citations

Musah, Anwar, Lívia Márcia Mosso Dutra, Tércio Ambrizzi, et al.. (2022). Temporal and Spatiotemporal Arboviruses Forecasting by Machine Learning: A Systematic Review. Frontiers in Public Health. 10. 900077–900077. 8 indexed citations

Musah, Anwar, Lívia Márcia Mosso Dutra, Ella Browning, et al.. (2022). An Evaluation of the OpenWeatherMap API versus INMET Using Weather Data from Two Brazilian Cities: Recife and Campina Grande. Data. 7(8). 106–106. 7 indexed citations

Browning, Ella, Robin Freeman, Katherine L. Boughey, Nick J. B. Isaac, & Kate E. Jones. (2022). Accounting for spatial autocorrelation and environment are important to derive robust bat population trends from citizen science data. Ecological Indicators. 136. 108719–108719. 7 indexed citations

Browning, Ella, Kate E. Barlow, Fiona Burns, Charlotte Hawkins, & Katherine L. Boughey. (2021). Drivers of European bat population change: a review reveals evidence gaps. Mammal Review. 51(3). 353–368. 29 indexed citations

10.

Isaac, Nick J. B., Marta A. Jarzyna, Petr Keil, et al.. (2019). Data Integration for Large-Scale Models of Species Distributions. Trends in Ecology & Evolution. 35(1). 56–67. 251 indexed citations breakdown →

11.

Aodha, Oisin Mac, Rory Gibb, Kate E. Barlow, et al.. (2018). Bat detective—Deep learning tools for bat acoustic signal detection. PLoS Computational Biology. 14(3). e1005995–e1005995. 140 indexed citations

12.

Gibb, Rory, Ella Browning, Paul Glover‐Kapfer, & Kate E. Jones. (2018). Emerging opportunities and challenges for passive acoustics in ecological assessment and monitoring. Methods in Ecology and Evolution. 10(2). 169–185. 438 indexed citations breakdown →

13.

Browning, Ella, Mark Bolton, Ellie Owen, et al.. (2017). Predicting animal behaviour using deep learning: GPS data alone accurately predict diving in seabirds. Methods in Ecology and Evolution. 9(3). 681–692. 62 indexed citations

14.

Browning, Ella, Rory Gibb, Paul Glover‐Kapfer, & Kate E. Jones. (2017). Passive acoustic monitoring in ecology and conservation.. IOC of UNESCO (Intergovernmental Oceanographic Commission). 74 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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