Seth Flaxman

77.6k total citations · 16 hit papers
109 papers, 14.1k citations indexed

About

Seth Flaxman is a scholar working on Epidemiology, Ophthalmology and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Seth Flaxman has authored 109 papers receiving a total of 14.1k indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Epidemiology, 20 papers in Ophthalmology and 19 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Seth Flaxman's work include Ophthalmology and Visual Impairment Studies (19 papers), Retinal Imaging and Analysis (18 papers) and COVID-19 epidemiological studies (12 papers). Seth Flaxman is often cited by papers focused on Ophthalmology and Visual Impairment Studies (19 papers), Retinal Imaging and Analysis (18 papers) and COVID-19 epidemiological studies (12 papers). Seth Flaxman collaborates with scholars based in United Kingdom, United States and Australia. Seth Flaxman's co-authors include Gretchen A Stevens, Bryce Goodman, Maya Mascarenhas, Justin M. Rao, Sharad Goel, Richard White, Majid Ezzati, Sheryl Vanderpoel, Ties Boerma and Mariel M. Finucane and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and The Lancet.

In The Last Decade

Seth Flaxman

104 papers receiving 13.6k citations

Hit Papers

National, Regional, and Global Trends in Infertility Prev... 2011 2026 2016 2021 2012 2013 2013 2013 2017 500 1000 1.5k
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.

  1. National, Regional, and Global Trends in Infertility Prevalence Since 1990: A Systematic Analysis of 277 Health Surveys
    2012 1.5k citations Seth Flaxman, Gretchen A Stevens et al. profile →
  2. A systematic analysis of global anemia burden from 1990 to 2010
    2013 1.4k citations Nicholas J Kassebaum, Rashmi Jasrasaria et al. Blood profile →
  3. Global, regional, and national trends in haemoglobin concentration and prevalence of total and severe anaemia in children and pregnant and non-pregnant women for 1995–2011: a systematic analysis of population-representative data
    2013 1.3k citations Gretchen A Stevens, Seth Flaxman et al. profile →
  4. Causes of vision loss worldwide, 1990–2010: a systematic analysis
    2013 1.3k citations Rupert Bourne, Gretchen A Stevens et al. profile →
  5. European Union Regulations on Algorithmic Decision Making and a “Right to Explanation”
    2017 1.1k citations Bryce Goodman, Seth Flaxman profile →
  6. Filter Bubbles, Echo Chambers, and Online News Consumption
    2016 1.0k citations Seth Flaxman et al. profile →
  7. Global and regional hearing impairment prevalence: an analysis of 42 studies in 29 countries
    2011 508 citations Gretchen A Stevens, Seth Flaxman et al. profile →
  8. Global Estimates on the Number of People Blind or Visually Impaired by Diabetic Retinopathy: A Meta-analysis From 1990 to 2010
    2016 460 citations Janet L Leasher, Rupert Bourne et al. profile →
  9. Trends and mortality effects of vitamin A deficiency in children in 138 low-income and middle-income countries between 1991 and 2013: a pooled analysis of population-based surveys
    2015 390 citations Gretchen A Stevens, Richard White et al. profile →
  10. Global Prevalence of Vision Impairment and Blindness
    2013 384 citations Gretchen A Stevens, Richard White et al. profile →
  11. Associations of Suboptimal Growth with All-Cause and Cause-Specific Mortality in Children under Five Years: A Pooled Analysis of Ten Prospective Studies
    2013 347 citations Seth Flaxman et al. profile →
  12. Estimating the effects of non-pharmaceutical interventions on COVID-19 in Europe
    2020 307 citations Seth Flaxman, Swapnil Mishra et al. Spiral (Imperial College London) profile →
  13. Number of People Blind or Visually Impaired by Cataract Worldwide and in World Regions, 1990 to 2010
    2015 276 citations Rupert Bourne, Hans Limburg et al. Investigative Ophthalmology & Visual Science profile →
  14. National, regional, and global trends in insufficient physical activity among adults from 2000 to 2022: a pooled analysis of 507 population-based surveys with 5·7 million participants
    2024 264 citations Seth Flaxman, Gretchen A Stevens et al. profile →
  15. National, regional, and global estimates of anaemia by severity in women and children for 2000–19: a pooled analysis of population-representative data
    2022 240 citations Gretchen A Stevens, Seth Flaxman et al. profile →
  16. Global minimum estimates of children affected by COVID-19-associated orphanhood and deaths of caregivers: a modelling study
    2021 141 citations Susan D. Hillis, H. Juliette T. Unwin et al. The Lancet profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Seth Flaxman United Kingdom 42 2.5k 2.5k 2.2k 2.0k 1.7k 109 14.1k
Dallas R. English Australia 91 1.9k 0.7× 494 0.2× 891 0.4× 898 0.4× 1.8k 1.1× 592 29.5k
Colin B. Begg United States 73 1.1k 0.5× 346 0.1× 658 0.3× 1.7k 0.8× 1.6k 1.0× 237 40.1k
Ross L. Prentice United States 86 1.4k 0.6× 162 0.1× 2.6k 1.2× 1.0k 0.5× 1.1k 0.7× 383 42.9k
Li Zhang China 81 601 0.2× 177 0.1× 1.9k 0.9× 1.6k 0.8× 861 0.5× 1.9k 39.8k
David Clayton United Kingdom 73 598 0.2× 873 0.3× 316 0.1× 951 0.5× 863 0.5× 214 28.1k
Miguel A. Hernán United States 93 1.2k 0.5× 178 0.1× 823 0.4× 715 0.4× 2.2k 1.3× 313 42.2k
Saskia le Cessie Netherlands 74 510 0.2× 195 0.1× 2.5k 1.1× 1.1k 0.5× 1.7k 1.0× 464 21.0k
Kenneth J. Rothman United States 83 1.3k 0.5× 192 0.1× 625 0.3× 754 0.4× 4.5k 2.7× 518 36.1k
Stephen R. Cole United States 72 485 0.2× 593 0.2× 300 0.1× 686 0.3× 1.5k 0.9× 447 23.2k
Andreas Ziegler Germany 79 1.1k 0.4× 186 0.1× 570 0.3× 1.8k 0.9× 504 0.3× 583 23.4k

Countries citing papers authored by Seth Flaxman

Since Specialization
Citations

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

Fields of papers citing papers by Seth Flaxman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Seth Flaxman

This figure shows the co-authorship network connecting the top 25 collaborators of Seth Flaxman. A scholar is included among the top collaborators of Seth Flaxman 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 Seth Flaxman. Seth Flaxman 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.
Boland, Miguel, R. Edwin Garcı́a, Chris Dunsby, et al.. (2025). Model‐free machine learning‐based 3D single molecule localisation microscopy. Journal of Microscopy. 299(1). 77–87. 2 indexed citations
2.
Ball, James, et al.. (2022). Using deep convolutional neural networks to forecast spatial patterns of Amazonian deforestation. Methods in Ecology and Evolution. 13(11). 2622–2634. 15 indexed citations
3.
Mishra, Swapnil, Daniel J. Laydon, Harrison Zhu, et al.. (2022). A COVID-19 Model for Local Authorities of the United Kingdom. Journal of the Royal Statistical Society Series A (Statistics in Society). 185(Supplement_1). S86–S95. 6 indexed citations
4.
Barahona, Mauricio, et al.. (2022). BART-based inference for Poisson processes. Computational Statistics & Data Analysis. 180. 107658–107658. 2 indexed citations
5.
Filippi, Sarah, et al.. (2022). Bayesian Kernel Two-Sample Testing. Journal of Computational and Graphical Statistics. 31(4). 1164–1176. 1 indexed citations
6.
Görlitz, Frederik, Sunil Kumar, Ranjan Kalita, et al.. (2021). Robust deep learning optical autofocus system applied to automated multiwell plate single molecule localization microscopy. Journal of Microscopy. 288(2). 130–141. 11 indexed citations
7.
Smith, Tom, Seth Flaxman, Amanda S. Gallinat, et al.. (2021). Temperature and population density influence SARS-CoV-2 transmission in the absence of nonpharmaceutical interventions. Proceedings of the National Academy of Sciences. 118(25). 84 indexed citations
8.
Hillis, Susan D., Lucie Cluver, Lorraine Sherr, et al.. (2021). Under the Radar: Global Minimum Estimates for COVID-19-associated Orphanhood and Deaths among Caregivers. The Lancet. 2 indexed citations
9.
Isakov, Michael, et al.. (2021). Unrepresentative big surveys significantly overestimate US vaccine uptake. Nature. 1 indexed citations
10.
Unwin, H. Juliette T., Isobel Routledge, Seth Flaxman, et al.. (2021). Using Hawkes Processes to model imported and local malaria cases in near-elimination settings. PLoS Computational Biology. 17(4). e1008830–e1008830. 12 indexed citations
11.
Laydon, Daniel J., Swapnil Mishra, Wes Hinsley, et al.. (2021). Modelling the impact of the tier system on SARS-CoV-2 transmission in the UK between the first and second national lockdowns. BMJ Open. 11(4). e050346–e050346. 15 indexed citations
12.
Malekzadeh, Mohammad, et al.. (2020). Modelling and forecasting art movements with CGANs. Royal Society Open Science. 7(4). 191569–191569. 5 indexed citations
13.
Naidoo, Kovin, John H. Kempen, Stephen Gichuhi, et al.. (2020). Prevalence and causes of vision loss in sub-Saharan Africa in 2015: magnitude, temporal trends and projections. British Journal of Ophthalmology. 104(12). 1658–1668. 33 indexed citations
14.
Davis, Samuel, Sunil Kumar, Yuriy Alexandrov, et al.. (2019). Convolutional neural networks for reconstruction of undersampled optical projection tomography data applied to in vivo imaging of zebrafish. Journal of Biophotonics. 12(12). e201900128–e201900128. 12 indexed citations
15.
Flaxman, Seth, Yee Whye Teh, & Dino Sejdinović. (2017). Poisson intensity estimation with reproducing Kernels. Spiral (Imperial College London). 16 indexed citations
16.
Bourne, Rupert, Seth Flaxman, Tasanee Braithwaite, et al.. (2017). Global Prevalence of Blindness and Distance and Near Vision Impairment: Magnitude, Temporal Trends, and Projections. Investigative Ophthalmology & Visual Science. 58(8). 840–840. 3 indexed citations
17.
Kempen, John H., Rupert Bourne, Tien Yin Wong, et al.. (2017). Estimated Prevalence of Visual Impairment in Sub-Saharan Africa (2015). Investigative Ophthalmology & Visual Science. 58(8). 2197–2197.
18.
Goodman, Bryce & Seth Flaxman. (2016). EU regulations on algorithmic decision-making and a "right to explanation".. arXiv (Cornell University). 47 indexed citations
19.
Jonas, Jost B., Rupert Bourne, Richard White, et al.. (2014). Visual Impairment and Blindness Due to Macular Diseases Globally: A Systematic Review and Meta-Analysis. American Journal of Ophthalmology. 158(4). 808–815. 79 indexed citations
20.
Kassebaum, Nicholas J, Rashmi Jasrasaria, Mohsen Naghavi, et al.. (2013). A systematic analysis of global anemia burden from 1990 to 2010. Blood. 123(5). 615–624. 1405 indexed citations breakdown →

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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