Lauren Hund

602 citations
23 papers · 454 indexed · h-index 11
Topics
Probabilistic and Robust Engineering Design (4 papers)Statistical Methods and Bayesian Inference (3 papers)Prenatal Substance Exposure Effects (3 papers)

In The Last Decade

Lauren Hund

22 papers receiving 433 citations

Peers

Lauren Hund
Comparison fields: 5 of 127
  • General Health Professions 161
  • Infectious Diseases 102
  • Health, Toxicology and Mutagenesis 65
  • Epidemiology 59
  • Sociology and Political Science 56
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Harrison Quick United States
Nicole White Australia
Abbas Bahrampour Iran
R. Gibson Parrish United States
M. L. Thompson South Africa
Nawar Diar Bakerly United Kingdom
Michael C. Asuzu Nigeria
Catherine J. Staes United States
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Citations per field
00.5×1.5×
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Citations per year

Countries citing papers authored by Lauren Hund

Since Specialization
Citations

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

Fields of papers citing papers by Lauren Hund

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lauren Hund

This figure shows the co-authorship network connecting the top 25 collaborators of Lauren Hund. A scholar is included among the top collaborators of Lauren Hund 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 Lauren Hund. Lauren Hund 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
#WorkIndexed citations
1 9
2 1
3 12
4 16
5 31
6 4
7 48
8
Causal Inference Methods for Estimating Long-Term Health Effects of Air Quality Regulations.
30
9 7
10 20
11 24
12 13
13 64
14 7
15 8
16 9
17
Association between consumption of fortified first grade flour and iron and folate status of women of reproductive age in Uzbekistan
1
18 115
19 0
20 6

About Lauren Hund

Lauren Hund is a scholar working on Statistics and Probability, Statistics, Probability and Uncertainty and General Health Professions, having authored 23 papers that have together received 454 indexed citations. Recurring topics across this work include Probabilistic and Robust Engineering Design (4 papers), Statistical Methods and Bayesian Inference (3 papers) and Prenatal Substance Exposure Effects (3 papers). The work is most often cited by research in General Health Professions (161 citations), Infectious Diseases (102 citations) and Statistics, Probability and Uncertainty (38 citations). Lauren Hund has collaborated with scholars based in United States, United Kingdom and South Africa. Frequent co-authors include Justin Brown, Marie‐Louise Newell, Frank Tanser, Nuala McGrath, Geoffrey P. Garnett, Till Bärnighausen, Francisco Soto Más, Holly E. Jacobson, Michele Pagano and Edward J. Bedrick. Their work appears in journals such as The Lancet, PLoS ONE and Biometrics.

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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