Silas Bergen

764 total citations
22 papers, 599 citations indexed

About

Silas Bergen is a scholar working on Health, Toxicology and Mutagenesis, General Health Professions and Transportation. According to data from OpenAlex, Silas Bergen has authored 22 papers receiving a total of 599 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Health, Toxicology and Mutagenesis, 4 papers in General Health Professions and 4 papers in Transportation. Recurrent topics in Silas Bergen's work include Air Quality and Health Impacts (8 papers), Climate Change and Health Impacts (8 papers) and Air Quality Monitoring and Forecasting (4 papers). Silas Bergen is often cited by papers focused on Air Quality and Health Impacts (8 papers), Climate Change and Health Impacts (8 papers) and Air Quality Monitoring and Forecasting (4 papers). Silas Bergen collaborates with scholars based in United States, South Korea and France. Silas Bergen's co-authors include Adam A. Szpiro, Joel D. Kaufman, Lianne Sheppard, Paul D. Sampson, Mark Richards, Timothy V. Larson, Sverre Vedal, Sun‐Young Kim, Dale P. Sandler and Julian Marshall and has published in prestigious journals such as American Journal of Epidemiology, Environmental Health Perspectives and Atmospheric Environment.

In The Last Decade

Silas Bergen

21 papers receiving 584 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Silas Bergen United States 11 454 219 75 51 51 22 599
Alice Grgicak‐Mannion Canada 13 367 0.8× 177 0.8× 190 2.5× 31 0.6× 75 1.5× 24 566
Luisella Ciancarella Italy 15 556 1.2× 324 1.5× 197 2.6× 24 0.5× 203 4.0× 39 756
Michael R. Cayo United States 7 399 0.9× 58 0.3× 32 0.4× 84 1.6× 23 0.5× 9 666
Stephanie Gower Canada 8 239 0.5× 95 0.4× 24 0.3× 20 0.4× 39 0.8× 12 344
Montserrat de Castro Spain 14 660 1.5× 198 0.9× 34 0.5× 103 2.0× 92 1.8× 24 797
Nutthida Kitwiroon United Kingdom 13 660 1.5× 264 1.2× 298 4.0× 69 1.4× 134 2.6× 25 852
Anne Cantagrel France 6 272 0.6× 77 0.4× 42 0.6× 23 0.5× 15 0.3× 9 451
Nathan Pavlovic United States 12 303 0.7× 144 0.7× 128 1.7× 15 0.3× 154 3.0× 32 482
Timothy Barzyk United States 11 246 0.5× 123 0.6× 61 0.8× 26 0.5× 19 0.4× 25 350

Countries citing papers authored by Silas Bergen

Since Specialization
Citations

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

Fields of papers citing papers by Silas Bergen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Silas Bergen

This figure shows the co-authorship network connecting the top 25 collaborators of Silas Bergen. A scholar is included among the top collaborators of Silas Bergen 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 Silas Bergen. Silas Bergen 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.
Bergen, Silas, Manuela Huso, Adam E. Duerr, et al.. (2022). A review of supervised learning methods for classifying animal behavioural states from environmental features. Methods in Ecology and Evolution. 14(1). 189–202. 12 indexed citations
2.
Bergen, Silas, Manuela Huso, Adam E. Duerr, et al.. (2022). Classifying behavior from short‐interval biologging data: An example with GPS tracking of birds. Ecology and Evolution. 12(2). e08395–e08395. 10 indexed citations
3.
Treichel, Anthony J., et al.. (2020). Individual neuronal subtypes control initial myelin sheath growth and stabilization. Neural Development. 15(1). 12–12. 10 indexed citations
4.
Bergen, Silas, et al.. (2020). Exploring the Relationship Between School Counselors’ Perceived ASCA National Model Implementation, Supervision Satisfaction, and Burnout. Journal of Counseling & Development. 98(1). 53–62. 21 indexed citations
5.
Meiers, Sonja J., et al.. (2020). The implementation of a dedicated education unit in a public health setting. Public Health Nursing. 37(5). 789–796.
6.
Bergen, Silas, et al.. (2019). A website assessment tool for patient engagement: A verification. International Journal of Healthcare Management. 13(1). 58–64. 3 indexed citations
7.
Chesak, Sherry S., et al.. (2019). Implementation of a Dedicated Education Unit Model for ADN Students in a Rural Primary Care Setting. Nurse Educator. 45(2). 97–101. 9 indexed citations
8.
9.
Kim, Sun‐Young, Lianne Sheppard, Silas Bergen, et al.. (2016). Prediction of fine particulate matter chemical components with a spatio-temporal model for the Multi-Ethnic Study of Atherosclerosis cohort. Journal of Exposure Science & Environmental Epidemiology. 26(5). 520–528. 20 indexed citations
10.
Bergen, Silas, Lianne Sheppard, Joel D. Kaufman, & Adam A. Szpiro. (2016). Multipollutant Measurement Error in Air Pollution Epidemiology Studies Arising from Predicting Exposures with Penalized Regression Splines. Journal of the Royal Statistical Society Series C (Applied Statistics). 65(5). 731–753. 21 indexed citations
11.
Chan, Stephanie H., Victor C. Van Hee, Silas Bergen, et al.. (2015). Long-Term Air Pollution Exposure and Blood Pressure in the Sister Study. Environmental Health Perspectives. 123(10). 951–958. 129 indexed citations
12.
Bergen, Silas & Adam A. Szpiro. (2015). Mitigating the impact of measurement error when using penalized regression to model exposure in two-stage air pollution epidemiology studies. Environmental and Ecological Statistics. 22(3). 601–631. 10 indexed citations
13.
Bergen, Silas, et al.. (2014). Applying morphometrics to early land plant systematics: A new Leclercqia (Lycopsida) species from Washington State, USA. American Journal of Botany. 101(3). 510–520. 14 indexed citations
14.
15.
Bergen, Silas, Lianne Sheppard, Paul D. Sampson, et al.. (2013). A National Prediction Model for PM 2.5 Component Exposures and Measurement Error–Corrected Health Effect Inference. Environmental Health Perspectives. 121(9). 1017–1025. 80 indexed citations
16.
Lindström, Johan, Adam A. Szpiro, Paul D. Sampson, Silas Bergen, & Assaf P. Oron. (2013). CRAN-package SpatioTemporal, for estimation and prediction of spatio-temporal models. Lund University Publications (Lund University). 11 indexed citations
17.
Sampson, Paul D., Mark Richards, Adam A. Szpiro, et al.. (2013). A regionalized national universal kriging model using Partial Least Squares regression for estimating annual PM2.5 concentrations in epidemiology. Atmospheric Environment. 75. 383–392. 185 indexed citations
18.
Kim, Sun‐Young, Lianne Sheppard, Silas Bergen, et al.. (2013). Prediction of fine particulate matter chemical components for the Multi-Ethnic Study of Atherosclerosis cohort: A comparison of two modeling approaches. Collection of Biostatistics Research Archive. 4 indexed citations
19.
Vedal, Sverre, Sun‐Young Kim, Kristin A. Miller, et al.. (2012). S-112. Epidemiology. 23. 1–1. 1 indexed citations
20.
Bergen, Silas, et al.. (2010). Quantifying Protein Function Specificity in the Gene Ontology. Standards in Genomic Sciences. 2(2). 238–244. 7 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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