Daniel B. Larremore

8.3k citations
53 papers · 4.0k · 7 hit papers · h-index 25

Impact in

Papers in

Daniel B. Larremore

49 papers receiving 3.9k citations

Daniel B. Larremore's Hit Papers

Gender and retention patterns among U.S. faculty 2023 · 85 citations
850+3+7Years since publication100200300400500

Peers

Daniel B. Larremore
Comparison fields: 5 of 186
  • Modeling and Simulation 654
  • Infectious Diseases 1.2k
  • Statistical and Nonlinear Physics 753
  • Statistics, Probability and Uncertainty 328
  • Gender Studies 290
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Citations per year

Countries citing papers authored by Daniel B. Larremore

Since Specialization
Citations

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

Fields of papers citing papers by Daniel B. Larremore

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniel B. Larremore. 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 Daniel B. Larremore. The network helps show where Daniel B. Larremore may publish in the future.

Co-authors

The 25 scholars most cited alongside Daniel B. Larremore, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Daniel B. Larremore Line = papers co-authored together Daniel B. Larremore links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 53 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Test sensitivity is secondary to frequency and turnaround time for COVID-19 screening
Hit paper breakdown →
2021578
2
Model-informed COVID-19 vaccine prioritization strategies by age and serostatus
Hit paper breakdown →
2021497
3 2020442
4
Systematic inequality and hierarchy in faculty hiring networks
Hit paper breakdown →
2015370
5 2017273
6
The unequal impact of parenthood in academia
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2021153
7 2017151
8 2011134
9 2017132
10 2019124
11 2014112
12
Quantifying hierarchy and dynamics in US faculty hiring and retention
Hit paper breakdown →
2022109
13
Socioeconomic roots of academic faculty
Hit paper breakdown →
202292
14
Gender and retention patterns among U.S. faculty
Hit paper breakdown →
202385
15 202078
16 201773
17 202162
18 201360
19 201452
20 201247

About Daniel B. Larremore

Daniel B. Larremore is a scholar working on Infectious Diseases, Statistical and Nonlinear Physics, Gender Studies, Modeling and Simulation and Public Health, Environmental and Occupational Health, having authored 53 papers that have together received 4.0k indexed citations. Recurring topics across this work include SARS-CoV-2 and COVID-19 Research (11 papers), Complex Network Analysis Techniques (11 papers), COVID-19 epidemiological studies (8 papers), Opinion Dynamics and Social Influence (8 papers), Malaria Research and Control (6 papers), Gender Diversity and Inequality (6 papers), Diversity and Career in Medicine (6 papers) and SARS-CoV-2 detection and testing (6 papers). The work is most often cited by research in Modeling and Simulation (654 citations), Infectious Diseases (1.2k citations), Statistical and Nonlinear Physics (753 citations), Statistics, Probability and Uncertainty (328 citations) and Gender Studies (290 citations). Daniel B. Larremore has collaborated with scholars based in United States, United Kingdom and Germany. Frequent co-authors include Aaron Clauset, Roy Parker, Michael J. Mina, Samuel Arbesman, Allison C. Morgan, Yonatan H. Grad, Leto Peel, Marc Lipsitch, Sarah Cobey and Kate M. Bubar. Their work appears in journals such as Science Advances, Nature Communications, Physical review. E, eLife and PLoS Computational Biology.

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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