Brian Hartman

543 total citations
27 papers, 401 citations indexed

About

Brian Hartman is a scholar working on Economics and Econometrics, Demography and Statistics and Probability. According to data from OpenAlex, Brian Hartman has authored 27 papers receiving a total of 401 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Economics and Econometrics, 8 papers in Demography and 6 papers in Statistics and Probability. Recurrent topics in Brian Hartman's work include Insurance, Mortality, Demography, Risk Management (8 papers), Statistical Methods and Bayesian Inference (5 papers) and Statistical Methods and Inference (5 papers). Brian Hartman is often cited by papers focused on Insurance, Mortality, Demography, Risk Management (8 papers), Statistical Methods and Bayesian Inference (5 papers) and Statistical Methods and Inference (5 papers). Brian Hartman collaborates with scholars based in United States, Canada and Kenya. Brian Hartman's co-authors include Emmanouil N. Anagnostou, David W. Wanik, Marina Astitha, Maria Frediani, Jason Parent, Jaemo Yang, Athanasios Kottas, Gilbert W. Fellingham, Diego Cerrai and Gary M. Lackmann and has published in prestigious journals such as Statistics in Medicine, Risk Analysis and Natural Hazards.

In The Last Decade

Brian Hartman

25 papers receiving 389 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Brian Hartman United States 10 113 109 93 82 69 27 401
Lee Fawcett United Kingdom 12 64 0.6× 176 1.6× 63 0.7× 13 0.2× 15 0.2× 28 451
Maria Frediani United States 10 136 1.2× 182 1.7× 173 1.9× 100 1.2× 65 0.9× 14 396
John Wardman New Zealand 9 23 0.2× 165 1.5× 164 1.8× 41 0.5× 177 2.6× 12 638
Jaemo Yang United States 10 68 0.6× 116 1.1× 116 1.2× 123 1.5× 35 0.5× 31 339
P. de Zea Bermudez Portugal 10 18 0.2× 207 1.9× 48 0.5× 18 0.2× 13 0.2× 21 457
Douglas G. Woolford Canada 16 149 1.3× 597 5.5× 49 0.5× 13 0.2× 4 0.1× 44 750
Dong-Hwan Kim South Korea 14 6 0.1× 171 1.6× 26 0.3× 68 0.8× 8 0.1× 83 480
Victoria Sword-Daniels United Kingdom 9 11 0.1× 143 1.3× 127 1.4× 5 0.1× 120 1.7× 12 472
Amit Choudhury India 10 21 0.2× 141 1.3× 89 1.0× 29 0.4× 7 0.1× 31 463

Countries citing papers authored by Brian Hartman

Since Specialization
Citations

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

Fields of papers citing papers by Brian Hartman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Brian Hartman

This figure shows the co-authorship network connecting the top 25 collaborators of Brian Hartman. A scholar is included among the top collaborators of Brian Hartman 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 Brian Hartman. Brian Hartman 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.
Hartman, Brian, et al.. (2025). A multivariate spatiotemporal model for county-level mortality data in the contiguous United States. Annals of Actuarial Science. 20(1). 54–73. 1 indexed citations
2.
Hartman, Brian, et al.. (2023). A Two-Part Model of the Individual Costs of Chronic Kidney Disease. North American Actuarial Journal. 28(1). 139–186. 1 indexed citations
3.
Hartman, Brian, et al.. (2022). Machine Learning in Ratemaking, an Application in Commercial Auto Insurance. Risks. 10(4). 80–80. 3 indexed citations
5.
Hartman, Brian, et al.. (2022). Using Machine Learning to Better Model Long-Term Care Insurance Claims. North American Actuarial Journal. 26(3). 470–483. 2 indexed citations
6.
Heaton, Matthew J., et al.. (2021). A Bayesian approach to real-time spatiotemporal prediction systems for bronchiolitis. Spatial and Spatio-temporal Epidemiology. 38. 100434–100434. 1 indexed citations
7.
Hartman, Brian, et al.. (2020). Using Asymmetric Cost Matrices to Optimize Care Management Interventions. North American Actuarial Journal. 25(1). 62–72. 1 indexed citations
8.
Hartman, Brian, et al.. (2020). Predicting High-Cost Health Insurance Members through Boosted Trees and Oversampling: An Application Using the HCCI Database. North American Actuarial Journal. 25(1). 53–61. 8 indexed citations
9.
Hartman, Brian, et al.. (2019). Bayesian multivariate regime-switching models and the impact of correlation structure misspecification in variable annuity pricing. Scandinavian Actuarial Journal. 2020(2). 152–171. 1 indexed citations
10.
Wanik, David W., et al.. (2018). Estimated Time of Restoration (ETR) Guidance for Electric Distribution Networks. Journal of Homeland Security and Emergency Management. 15(1). 9 indexed citations
11.
Wanik, David W., Emmanouil N. Anagnostou, Marina Astitha, et al.. (2017). A Case Study on Power Outage Impacts from Future Hurricane Sandy Scenarios. Journal of Applied Meteorology and Climatology. 57(1). 51–79. 48 indexed citations
12.
Wanik, David W., Jason Parent, Emmanouil N. Anagnostou, & Brian Hartman. (2017). Using vegetation management and LiDAR-derived tree height data to improve outage predictions for electric utilities. Electric Power Systems Research. 146. 236–245. 73 indexed citations
13.
Yang, Jaemo, Marina Astitha, Emmanouil N. Anagnostou, & Brian Hartman. (2017). Using a Bayesian Regression Approach on Dual-Model Windstorm Simulations to Improve Wind Speed Prediction. Journal of Applied Meteorology and Climatology. 56(4). 1155–1174. 14 indexed citations
14.
Wanik, David W., et al.. (2016). Nonparametric Tree‐Based Predictive Modeling of Storm Outages on an Electric Distribution Network. Risk Analysis. 37(3). 441–458. 65 indexed citations
15.
Hartman, Brian, et al.. (2016). Predictive Modeling in Long-Term Care Insurance. North American Actuarial Journal. 20(2). 160–183. 8 indexed citations
16.
Shi, Peng & Brian Hartman. (2015). Credibility in Loss Reserving. North American Actuarial Journal. 20(2). 114–132. 6 indexed citations
17.
Wanik, David W., Emmanouil N. Anagnostou, Brian Hartman, Maria Frediani, & Marina Astitha. (2015). Storm outage modeling for an electric distribution network in Northeastern USA. Natural Hazards. 79(2). 1359–1384. 90 indexed citations
18.
Fellingham, Gilbert W., Athanasios Kottas, & Brian Hartman. (2014). Bayesian nonparametric predictive modeling of group health claims. Insurance Mathematics and Economics. 60. 1–10. 21 indexed citations
19.
Hartman, Brian, et al.. (2013). Model Selection and Averaging in Financial Risk Management. North American Actuarial Journal. 17(3). 216–228. 11 indexed citations
20.
Hartman, Brian, Bani K. Mallick, & Debabrata Talukdar. (2012). Investigating international new product diffusion speed: A semiparametric approach. The Annals of Applied Statistics. 6(2). 1 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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