Christopher M. Danforth

6.4k total citations · 5 hit papers
89 papers, 3.7k citations indexed

About

Christopher M. Danforth is a scholar working on Statistical and Nonlinear Physics, Sociology and Political Science and Artificial Intelligence. According to data from OpenAlex, Christopher M. Danforth has authored 89 papers receiving a total of 3.7k indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Statistical and Nonlinear Physics, 23 papers in Sociology and Political Science and 19 papers in Artificial Intelligence. Recurrent topics in Christopher M. Danforth's work include Complex Network Analysis Techniques (18 papers), Meteorological Phenomena and Simulations (11 papers) and Opinion Dynamics and Social Influence (11 papers). Christopher M. Danforth is often cited by papers focused on Complex Network Analysis Techniques (18 papers), Meteorological Phenomena and Simulations (11 papers) and Opinion Dynamics and Social Influence (11 papers). Christopher M. Danforth collaborates with scholars based in United States, Australia and Japan. Christopher M. Danforth's co-authors include Peter Sheridan Dodds, Kameron Decker Harris, Catherine A. Bliss, Lewis Mitchell, Morgan R. Frank, Isabel M. Kloumann, Andrew Reece, Andrew J. Reagan, Eugenia Kalnay and Takemasa Miyoshi and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Physical Review Letters and SHILAP Revista de lepidopterología.

In The Last Decade

Christopher M. Danforth

85 papers receiving 3.5k citations

Hit Papers

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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.

Temporal Patterns of Happiness and Information in a Global Social Network: Hedonometrics and Twitter

2011 519 citations Peter Sheridan Dodds, Kameron Decker Harris et al. PLoS ONE profile →
The Geography of Happiness: Connecting Twitter Sentiment and Expression, Demographics, and Objective Characteristics of Place

2013 337 citations Lewis Mitchell, Morgan R. Frank et al. PLoS ONE profile →
Instagram photos reveal predictive markers of depression

2017 296 citations Christopher M. Danforth et al. EPJ Data Science profile →
Human language reveals a universal positivity bias

2015 252 citations Peter Sheridan Dodds, Eric M. Clark et al. profile →
Characterizing the Google Books Corpus: Strong Limits to Inferences of Socio-Cultural and Linguistic Evolution

2015 192 citations Christopher M. Danforth, Peter Sheridan Dodds et al. PLoS ONE profile →

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Christopher M. Danforth	1.1k	928	686	550	420	89	3.7k
Manuel Cebrián	1.1k 1.1×	584 0.6×	711 1.0×	162 0.3×	489 1.2×	105	3.8k
Peter J. Mucha	587 0.6×	714 0.8×	2.5k 3.7×	228 0.4×	208 0.5×	158	7.7k
Esteban Moro	1.1k 1.0×	302 0.3×	1.2k 1.7×	111 0.2×	487 1.2×	96	4.3k
Robert A. Stine	702 0.7×	573 0.6×	266 0.4×	575 1.0×	92 0.2×	69	5.5k
Myron P. Gutmann	1.2k 1.2×	313 0.3×	746 1.1×	91 0.2×	350 0.8×	93	3.7k
Sandra Lawrence	454 0.4×	1.6k 1.7×	620 0.9×	629 1.1×	124 0.3×	90	6.3k
Lewis Mitchell	521 0.5×	287 0.3×	203 0.3×	181 0.3×	165 0.4×	64	1.7k
Sheelagh Carpendale	1.1k 1.0×	1.1k 1.1×	442 0.6×	217 0.4×	106 0.3×	249	7.0k
Christopher McCarty	1.7k 1.6×	123 0.1×	605 0.9×	249 0.5×	288 0.7×	95	3.7k
Mirta Galešić	1.9k 1.7×	380 0.4×	296 0.4×	485 0.9×	208 0.5×	95	5.8k

Countries citing papers authored by Christopher M. Danforth

Since Specialization

Citations

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

Fields of papers citing papers by Christopher M. Danforth

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Christopher M. Danforth. 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 Christopher M. Danforth. The network helps show where Christopher M. Danforth may publish in the future.

Co-authorship network of co-authors of Christopher M. Danforth

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

All Works

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20 of 20 papers shown

Bloomfield, Laura S. P., Ellen W. McGinnis, Ryan S. McGinnis, et al.. (2024). Predicting stress in first-year college students using sleep data from wearable devices. SHILAP Revista de lepidopterología. 3(4). e0000473–e0000473. 9 indexed citations

McGinnis, Ellen W., et al.. (2023). Discovering Digital Biomarkers of Panic Attack Risk in Consumer Wearables Data. PubMed. 2023. 1–4.

Price, Matthew, Laura S. P. Bloomfield, Peter Sheridan Dodds, et al.. (2023). A large clinical trial to improve well-being during the transition to college using wearables: The lived experiences measured using rings study. Contemporary Clinical Trials. 133. 107338–107338. 7 indexed citations

Minor, Kelton, et al.. (2023). Nature Exposure is Associated With Reduced Smartphone Use. Environment and Behavior. 55(3). 103–139. 16 indexed citations

Alshaabi, Thayer, Khandis R. Blake, Christopher M. Danforth, et al.. (2023). Twitter misogyny associated with Hillary Clinton increased throughout the 2016 U.S. election campaign. Scientific Reports. 13(1). 5266–5266. 5 indexed citations

Dodds, Peter Sheridan, Thayer Alshaabi, Jane L. Adams, et al.. (2023). Allotaxonometry and rank-turbulence divergence: a universal instrument for comparing complex systems. EPJ Data Science. 12(1). 2 indexed citations

Danforth, Christopher M., et al.. (2020). Hahahahaha, Duuuuude, Yeeessss!: A two-parameter characterization of stretchable words and the dynamics of mistypings and misspellings. PLoS ONE. 15(5). e0232938–e0232938. 2 indexed citations

Tivnan, Brian F., et al.. (2020). Fragmentation and inefficiencies in US equity markets: Evidence from the Dow 30. PLoS ONE. 15(1). e0226968–e0226968. 6 indexed citations

Reagan, Andrew J., et al.. (2018). English verb regularization in books and tweets. PLoS ONE. 13(12). e0209651–e0209651. 9 indexed citations

10.

Schwartz, Aaron J., Peter Sheridan Dodds, Jarlath O’Neil‐Dunne, Christopher M. Danforth, & Taylor H. Ricketts. (2018). Exposure to urban parks improves affect and reduces negativity on Twitter.. arXiv (Cornell University). 6 indexed citations

11.

Gallagher, Ryan J., Andrew J. Reagan, Christopher M. Danforth, & Peter Sheridan Dodds. (2018). Divergent discourse between protests and counter-protests: #BlackLivesMatter and #AllLivesMatter. PLoS ONE. 13(4). e0195644–e0195644. 95 indexed citations

12.

Williams, Jake Ryland, Andrew J. Reagan, Morgan R. Frank, et al.. (2017). The Lexicocalorimeter: Gauging public health through caloric input and output on social media. PLoS ONE. 12(2). e0168893–e0168893. 16 indexed citations

13.

Dodds, Peter Sheridan, Lewis Mitchell, Andrew J. Reagan, & Christopher M. Danforth. (2016). Tracking Climate Change through the Spatiotemporal Dynamics of the Teletherms, the Statistically Hottest and Coldest Days of the Year. PLoS ONE. 11(5). e0154184–e0154184. 5 indexed citations

14.

Danforth, Christopher M., et al.. (2015). Characterizing the Google Books Corpus: Strong Limits to Inferences of Socio-Cultural and Linguistic Evolution. PLoS ONE. 10(10). e0137041–e0137041. 192 indexed citations breakdown →

15.

Clark, Eric M., Chris Jones, Diann E. Gaalema, et al.. (2014). Social Media Meets Population Health: A Sentiment And Demographic Analysis of Tobacco and E-Cigarette Use Across The “Twittersphere”. Value in Health. 17(7). A603–A603. 3 indexed citations

16.

Mitchell, Lewis, Morgan R. Frank, Kameron Decker Harris, Peter Sheridan Dodds, & Christopher M. Danforth. (2013). The Geography of Happiness: Connecting Twitter Sentiment and Expression, Demographics, and Objective Characteristics of Place. PLoS ONE. 8(5). e64417–e64417. 337 indexed citations breakdown →

17.

Danforth, Christopher M., Thomas Orfeo, Stephen J. Everse, Kenneth G. Mann, & Kathleen E. Brummel‐Ziedins. (2012). Defining the Boundaries of Normal Thrombin Generation: Investigations into Hemostasis. PLoS ONE. 7(2). e30385–e30385. 54 indexed citations

18.

Dodds, Peter Sheridan, Kameron Decker Harris, Isabel M. Kloumann, Catherine A. Bliss, & Christopher M. Danforth. (2011). Temporal Patterns of Happiness and Information in a Global Social Network: Hedonometrics and Twitter. PLoS ONE. 6(12). e26752–e26752. 519 indexed citations breakdown →

19.

Hayes, Wayne B., et al.. (2010). The interplay of chaos between the terrestrial and giant planets. Monthly Notices of the Royal Astronomical Society. 407(3). 1859–1865. 9 indexed citations

20.

Danforth, Christopher M. & James A. Yorke. (2006). Making Forecasts for Chaotic Physical Processes. Physical Review Letters. 96(14). 144102–144102. 22 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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