Kyle S. Hickmann

1.1k total citations
18 papers, 713 citations indexed

About

Kyle S. Hickmann is a scholar working on Epidemiology, Astronomy and Astrophysics and Mathematical Physics. According to data from OpenAlex, Kyle S. Hickmann has authored 18 papers receiving a total of 713 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Epidemiology, 3 papers in Astronomy and Astrophysics and 3 papers in Mathematical Physics. Recurrent topics in Kyle S. Hickmann's work include Data-Driven Disease Surveillance (4 papers), Influenza Virus Research Studies (3 papers) and COVID-19 epidemiological studies (3 papers). Kyle S. Hickmann is often cited by papers focused on Data-Driven Disease Surveillance (4 papers), Influenza Virus Research Studies (3 papers) and COVID-19 epidemiological studies (3 papers). Kyle S. Hickmann collaborates with scholars based in United States, Cyprus and Italy. Kyle S. Hickmann's co-authors include James M. Hyman, Sara Y. Del Valle, C. J. Henney, C. N. Arge, Carrie A. Manore, H. C. Godinez, Sen Xu, Helen J. Wearing, Geoffrey Fairchild and Dave Osthus and has published in prestigious journals such as The Journal of Infectious Diseases, Journal of Theoretical Biology and PLoS Computational Biology.

In The Last Decade

Kyle S. Hickmann

16 papers receiving 687 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kyle S. Hickmann United States 9 315 235 189 132 125 18 713
Dave Osthus United States 12 346 1.1× 288 1.2× 85 0.4× 89 0.7× 23 0.2× 33 654
Chong You China 10 364 1.2× 112 0.5× 66 0.3× 294 2.2× 14 0.1× 28 788
Guy Katriel Israel 16 385 1.2× 181 0.8× 144 0.8× 204 1.5× 7 0.1× 49 876
Robyn M. Stuart Denmark 16 334 1.1× 184 0.8× 62 0.3× 322 2.4× 7 0.1× 50 881
Zhu Jiang China 13 280 0.9× 31 0.1× 87 0.5× 321 2.4× 18 0.1× 60 949
Teresa K. Yamana United States 13 400 1.3× 260 1.1× 258 1.4× 206 1.6× 4 0.0× 23 847
Kelly R. Moran United States 8 98 0.3× 50 0.2× 23 0.1× 43 0.3× 30 0.2× 21 447
Anjalika Nande United States 8 188 0.6× 69 0.3× 31 0.2× 141 1.1× 31 0.2× 10 428
Ben Adlam United States 9 165 0.5× 55 0.2× 78 0.4× 62 0.5× 5 0.0× 14 518
Andreas Ipsen United Kingdom 7 124 0.4× 91 0.4× 51 0.3× 75 0.6× 8 0.1× 9 1.0k

Countries citing papers authored by Kyle S. Hickmann

Since Specialization
Citations

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

Fields of papers citing papers by Kyle S. Hickmann

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kyle S. Hickmann. 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 Kyle S. Hickmann. The network helps show where Kyle S. Hickmann may publish in the future.

Co-authorship network of co-authors of Kyle S. Hickmann

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

All Works

18 of 18 papers shown
1.
Hickmann, Kyle S., et al.. (2024). Predicting Material Strength Model Parameters Using a Machine Learning Based Approach. Journal of Dynamic Behavior of Materials. 11(2). 142–154.
2.
3.
Nguyen, Nga T. T., et al.. (2021). Predicting shockwaves in radiograph images using different deep learning models. 9351. 24–24. 1 indexed citations
4.
Meadors, G. D., et al.. (2020). Data Assimilative Optimization of WSA Source Surface and Interface Radii using Particle Filtering. Space Weather. 18(5). 12 indexed citations
5.
Osthus, Dave, Kyle S. Hickmann, Petruţa C. Caragea, Dave Higdon, & Sara Y. Del Valle. (2017). Forecasting seasonal influenza with a state-space SIR model. The Annals of Applied Statistics. 11(1). 202–224. 93 indexed citations
6.
Hickmann, Kyle S., Jeffrey D. Hyman, & G. Srinivasan. (2017). Efficient and robust classification of seismic data using nonlinear support vector machines. OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information). 148–155. 3 indexed citations
7.
Biggerstaff, Matthew, Mark Dredze, Spencer J. Fox, et al.. (2016). Results from the centers for disease control and prevention’s predict the 2013–2014 Influenza Season Challenge. BMC Infectious Diseases. 16(1). 357–357. 114 indexed citations
8.
Moran, Kelly R., Geoffrey Fairchild, Nicholas Generous, et al.. (2016). Epidemic Forecasting is Messier Than Weather Forecasting: The Role of Human Behavior and Internet Data Streams in Epidemic Forecast. The Journal of Infectious Diseases. 214(suppl 4). S404–S408. 54 indexed citations
9.
Hickmann, Kyle S., H. C. Godinez, C. J. Henney, & C. N. Arge. (2016). Scale-Dependent Data Assimilation of Solar Photospheric Magnetic Field. IFAC-PapersOnLine. 49(18). 193–198. 3 indexed citations
10.
Manore, Carrie A., Kyle S. Hickmann, James M. Hyman, et al.. (2015). A network-patch methodology for adapting agent-based models for directly transmitted disease to mosquito-borne disease. Figshare. 25 indexed citations
11.
Hickmann, Kyle S., Geoffrey Fairchild, Reid Priedhorsky, et al.. (2015). Forecasting the 2013–2014 Influenza Season Using Wikipedia. PLoS Computational Biology. 11(5). e1004239–e1004239. 123 indexed citations
12.
Hickmann, Kyle S., H. C. Godinez, C. J. Henney, & C. N. Arge. (2015). Data Assimilation in the ADAPT Photospheric Flux Transport Model. Solar Physics. 290(4). 1105–1118. 117 indexed citations
13.
Ahmed, Mahmuda, Brittany Terese Fasy, Kyle S. Hickmann, & Carola Wenk. (2015). A Path-Based Distance for Street Map Comparison. ACM Transactions on Spatial Algorithms and Systems. 1(1). 1–28. 10 indexed citations
14.
Manore, Carrie A., Kyle S. Hickmann, Sen Xu, Helen J. Wearing, & James M. Hyman. (2014). Comparing dengue and chikungunya emergence and endemic transmission in A. aegypti and A. albopictus. Journal of Theoretical Biology. 356. 174–191. 137 indexed citations
15.
Fairchild, Geoffrey, Kyle S. Hickmann, Susan M. Mniszewski, Sara Y. Del Valle, & James M. Hyman. (2013). Optimizing human activity patterns using global sensitivity analysis. Computational and Mathematical Organization Theory. 20(4). 394–416. 6 indexed citations
16.
Finch, David & Kyle S. Hickmann. (2013). Transmission eigenvalues and thermoacoustic tomography. Inverse Problems. 29(10). 104016–104016. 8 indexed citations
17.
Hickmann, Kyle S.. (2012). The interior transmission spectrum in one dimension. Inverse Problems. 28(11). 115007–115007.
18.
Hickmann, Kyle S.. (2011). Interior transmission eigenvalue problem with refractive index having C2-transition to the background medium. Applicable Analysis. 91(9). 1675–1690. 6 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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Dave Osthus Breakdown of academic impact, for papers by Chong You Breakdown of academic impact, for papers by Guy Katriel Breakdown of academic impact, for papers by Robyn M. Stuart Breakdown of academic impact, for papers by Zhu Jiang Breakdown of academic impact, for papers by Teresa K. Yamana Breakdown of academic impact, for papers by Kelly R. Moran Breakdown of academic impact, for papers by Anjalika Nande Breakdown of academic impact, for papers by Ben Adlam Breakdown of academic impact, for papers by Andreas Ipsen
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2026