Larry Brilliant

4.8k total citations · 2 hit papers
6 papers, 3.2k citations indexed

About

Larry Brilliant is a scholar working on Epidemiology, Modeling and Simulation and Infectious Diseases. According to data from OpenAlex, Larry Brilliant has authored 6 papers receiving a total of 3.2k indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Epidemiology, 2 papers in Modeling and Simulation and 1 paper in Infectious Diseases. Recurrent topics in Larry Brilliant's work include Influenza Virus Research Studies (2 papers), COVID-19 epidemiological studies (2 papers) and Data-Driven Disease Surveillance (2 papers). Larry Brilliant is often cited by papers focused on Influenza Virus Research Studies (2 papers), COVID-19 epidemiological studies (2 papers) and Data-Driven Disease Surveillance (2 papers). Larry Brilliant collaborates with scholars based in United States, United Kingdom and Pakistan. Larry Brilliant's co-authors include Rajan Patel, Lynnette Brammer, Mark S. Smolinski, Jeremy Ginsberg, Baruch Fischhoff, Wändi Bruine de Bruin, Laura F. White, Samuel V. Scarpino, Jeffrey Shaman and Jack Chen and has published in prestigious journals such as Nature, Vaccine and Journal of Risk and Uncertainty.

In The Last Decade

Larry Brilliant

6 papers receiving 3.0k 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.

Detecting influenza epidemics using search engine query data

2008 2.9k citations Jeremy Ginsberg, Rajan Patel et al. Nature profile →
Mask-wearing and control of SARS-CoV-2 transmission in the USA: a cross-sectional study

2021 173 citations Benjamin Rader, Laura F. White et al. The Lancet Digital Health profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Larry Brilliant United States	6	1.7k	778	548	398	345	6	3.2k
Jeremy Ginsberg United States	3	1.6k 1.0×	781 1.0×	462 0.8×	398 1.0×	302 0.9×	6	3.0k
Mark S. Smolinski United States	15	2.0k 1.2×	818 1.1×	717 1.3×	415 1.0×	329 1.0×	42	4.0k
Ryan Kennedy United States	22	727 0.4×	970 1.2×	211 0.4×	403 1.0×	245 0.7×	73	3.3k
Vasileios Lampos United Kingdom	21	567 0.3×	605 0.8×	275 0.5×	649 1.6×	219 0.6×	37	2.4k
Elaine O. Nsoesie United States	26	1.0k 0.6×	433 0.6×	741 1.4×	360 0.9×	173 0.5×	78	3.1k
Bryan Lewis United States	24	937 0.6×	296 0.4×	1.8k 3.3×	172 0.4×	421 1.2×	85	3.1k
Lynnette Brammer United States	27	6.8k 4.1×	774 1.0×	1.3k 2.4×	407 1.0×	362 1.0×	48	9.2k
Edward H. Kaplan United States	39	1.3k 0.8×	1.7k 2.2×	530 1.0×	139 0.3×	649 1.9×	174	7.6k
Xin Lü China	33	1.0k 0.6×	930 1.2×	1.1k 2.0×	428 1.1×	483 1.4×	185	5.8k
Linus Bengtsson Sweden	22	866 0.5×	592 0.8×	538 1.0×	120 0.3×	136 0.4×	34	2.9k

Countries citing papers authored by Larry Brilliant

Since Specialization

Citations

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

Fields of papers citing papers by Larry Brilliant

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Larry Brilliant

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

All Works

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6 of 6 papers shown

1.

Rader, Benjamin, Laura F. White, Jack Chen, et al.. (2021). Mask-wearing and control of SARS-CoV-2 transmission in the USA: a cross-sectional study. The Lancet Digital Health. 3(3). e148–e157. 173 indexed citations breakdown →

2.

Heymann, Dominique & Larry Brilliant. (2011). Surveillance in eradication and elimination of infectious diseases: A progression through the years. Vaccine. 29. D141–D144. 11 indexed citations

3.

Ginsberg, Jeremy, et al.. (2008). Detecting influenza epidemics using search engine query data. Nature. 457(7232). 1012–1014. 2914 indexed citations breakdown →

4.

Brilliant, Larry & Girija E. Brilliant. (2007). Aravind: Partner and Social Science Innovator (Innovations Case Discussion: Aravind Eye Care System). Innovations Technology Governance Globalization. 2(4). 50–52. 6 indexed citations

5.

Bruin, Wändi Bruine de, et al.. (2006). Expert judgments of pandemic influenza risks. Global Public Health. 1(2). 179–194. 38 indexed citations

6.

Fischhoff, Baruch, et al.. (2006). Analyzing disaster risks and plans: An avian flu example. Journal of Risk and Uncertainty. 33(1-2). 131–149. 41 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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