Daniel J. Bauer

20.4k total citations · 6 hit papers
156 papers, 15.7k citations indexed

About

Daniel J. Bauer is a scholar working on Statistics and Probability, Demography and Management Science and Operations Research. According to data from OpenAlex, Daniel J. Bauer has authored 156 papers receiving a total of 15.7k indexed citations (citations by other indexed papers that have themselves been cited), including 38 papers in Statistics and Probability, 33 papers in Demography and 32 papers in Management Science and Operations Research. Recurrent topics in Daniel J. Bauer's work include Insurance, Mortality, Demography, Risk Management (32 papers), Mental Health Research Topics (23 papers) and Statistical Methods and Bayesian Inference (23 papers). Daniel J. Bauer is often cited by papers focused on Insurance, Mortality, Demography, Risk Management (32 papers), Mental Health Research Topics (23 papers) and Statistical Methods and Bayesian Inference (23 papers). Daniel J. Bauer collaborates with scholars based in United States, Germany and Switzerland. Daniel J. Bauer's co-authors include Patrick J. Curran, Kristopher J. Preacher, Karen M. Gil, John R. Hipp, Andrea M. Hussong, Jochen Ruß, Sonya K. Sterba, Alexander Kling, Michael J. Shanahan and Akihito Kamata and has published in prestigious journals such as Brain, Neurology and Management Science.

In The Last Decade

Daniel J. Bauer

148 papers receiving 15.0k citations

Hit Papers

5 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.

Computational Tools for Probing Interactions in Multiple Linear Regression, Multilevel Modeling, and Latent Curve Analysis

2006 4.2k citations Patrick J. Curran, Daniel J. Bauer et al. profile →
The Disaggregation of Within-Person and Between-Person Effects in Longitudinal Models of Change

2010 1.4k citations Patrick J. Curran, Daniel J. Bauer profile →
Conceptualizing and testing random indirect effects and moderated mediation in multilevel models: New procedures and recommendations.

2006 1.4k citations Daniel J. Bauer et al. Psychological Methods profile →
Probing Interactions in Fixed and Multilevel Regression: Inferential and Graphical Techniques

2005 1.2k citations Daniel J. Bauer, Patrick J. Curran profile →
Distributional Assumptions of Growth Mixture Models: Implications for Overextraction of Latent Trajectory Classes.

2003 819 citations Daniel J. Bauer, Patrick J. Curran Psychological Methods profile →
Local solutions in the estimation of growth mixture models.

2006 568 citations Daniel J. Bauer et al. Psychological Methods profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Daniel J. Bauer United States	45	4.2k	3.8k	3.1k	3.0k	1.9k	156	15.7k
Chondra M. Lockwood United States	10	4.9k 1.2×	4.5k 1.2×	3.7k 1.2×	2.0k 0.7×	1.7k 0.9×	12	15.8k
Leona S. Aiken United States	46	4.9k 1.2×	4.8k 1.3×	4.5k 1.4×	2.4k 0.8×	2.3k 1.2×	126	20.5k
Tihomir Asparouhov United States	37	6.7k 1.6×	5.5k 1.5×	3.7k 1.2×	4.1k 1.4×	2.4k 1.2×	55	21.1k
Rens van de Schoot Netherlands	43	3.3k 0.8×	3.1k 0.8×	3.0k 1.0×	2.0k 0.7×	1.4k 0.7×	182	14.9k
Albert Satorra Spain	31	4.1k 1.0×	3.9k 1.1×	2.7k 0.9×	2.4k 0.8×	1.2k 0.6×	87	14.7k
Nicholas T. Longford United Kingdom	23	3.1k 0.7×	3.3k 0.9×	4.2k 1.4×	1.9k 0.6×	2.2k 1.1×	121	18.5k
Craig K. Enders United States	47	6.8k 1.6×	5.5k 1.5×	4.2k 1.3×	3.4k 1.1×	2.1k 1.1×	121	22.7k
Gordon W. Cheung Hong Kong	28	5.1k 1.2×	6.1k 1.6×	4.2k 1.3×	3.1k 1.0×	1.7k 0.9×	50	17.8k
Joop J. Hox Netherlands	50	4.6k 1.1×	5.2k 1.4×	7.0k 2.3×	3.3k 1.1×	3.4k 1.7×	140	26.5k
Charles E. Lance United States	42	3.0k 0.7×	4.5k 1.2×	3.8k 1.2×	1.9k 0.6×	1.5k 0.8×	111	15.6k

Countries citing papers authored by Daniel J. Bauer

Since Specialization

Citations

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

Fields of papers citing papers by Daniel J. Bauer

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniel J. Bauer. 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 Daniel J. Bauer. The network helps show where Daniel J. Bauer may publish in the future.

Co-authorship network of co-authors of Daniel J. Bauer

This figure shows the co-authorship network connecting the top 25 collaborators of Daniel J. Bauer. A scholar is included among the top collaborators of Daniel J. Bauer 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 Daniel J. Bauer. Daniel J. Bauer 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

Bauer, Daniel J., et al.. (2024). Developmental mechanisms linking deprivation and threat to psychopathology and school outcomes. Development and Psychopathology. 37(3). 1593–1604. 2 indexed citations

DeChant, Chad, et al.. (2023). Learning to summarize and answer questions about a virtual robot’s past actions. Autonomous Robots. 47(8). 1103–1118. 7 indexed citations

Hernández-Alvídrez, Javier, et al.. (2023). Field Validation of a Local, Traveling-Wave, Fault Detection Method for DC Microgrids. 250–254. 1 indexed citations

Reno, Matthew J., et al.. (2022). Testing Machine Learned fault Detection and Classification on a DC Microgrid.. OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information).

Bauer, Daniel J., et al.. (2022). Modeling the Risk in Mortality Projections. Operations Research. 70(4). 2069–2084. 3 indexed citations

Cole, Veronica T., Andrea M. Hussong, Nisha C. Gottfredson, Daniel J. Bauer, & Patrick J. Curran. (2022). Informing Harmonization Decisions in Integrative Data Analysis: Exploring the Measurement Multiverse. Prevention Science. 24(8). 1595–1607. 13 indexed citations

Bauer, Daniel J., et al.. (2021). A Deep Learning Algorithm for High-Dimensional Exploratory Item Factor Analysis. Psychometrika. 86(1). 1–29. 20 indexed citations

Bauer, Daniel J., et al.. (2021). Life Insurance and Annuity Pricing during the Financial Crisis, Revisited. SSRN Electronic Journal. 2 indexed citations

Hussong, Andrea M., et al.. (2020). Harmonizing altered measures in integrative data analysis: A methods analogue study. Behavior Research Methods. 53(3). 1031–1045. 3 indexed citations

10.

Bauer, Daniel J., et al.. (2018). Interaction effects may actually be nonlinear effects in disguise: A review of the problem and potential solutions. Addictive Behaviors. 94. 99–108. 27 indexed citations

11.

Bauer, Daniel J., et al.. (2017). Flexibility measurement issues in supply chain management. Econstor (Econstor). 5(1). 1–14. 5 indexed citations

12.

Rambow, Owen, Daniel J. Bauer, Axinia Radeva, et al.. (2016). The 2016 TAC KBP BeSt Evaluation.. Theory and applications of categories. 2 indexed citations

13.

Bauer, Daniel J., et al.. (2013). Coherent Pricing of Life Settlements Under Asymmetric Information. Journal of Risk & Insurance. 80(3). 827–851. 25 indexed citations

14.

Gottfredson, Nisha C., Daniel J. Bauer, Scott A. Baldwin, & John C. Okiishi. (2013). Using a shared parameter mixture model to estimate change during treatment when termination is related to recovery speed.. Journal of Consulting and Clinical Psychology. 82(5). 813–827. 7 indexed citations

15.

Bauer, Daniel J., et al.. (2012). On the Calculation of the Solvency Capital Requirement Based on Nested Simulations. Astin Bulletin. 42(2). 453–499. 54 indexed citations

16.

Bauer, Daniel J., Nisha C. Gottfredson, Danielle Dean, & Robert A. Zucker. (2012). Analyzing repeated measures data on individuals nested within groups: Accounting for dynamic group effects.. Psychological Methods. 18(1). 1–14. 31 indexed citations

17.

Pek, Jolynn, Diane Losardo, & Daniel J. Bauer. (2011). Confidence Intervals for a Semiparametric Approach to Modeling Nonlinear Relations among Latent Variables. Structural Equation Modeling A Multidisciplinary Journal. 18(4). 537–553. 19 indexed citations

18.

Bauer, Daniel J., Alexander Kling, & Jochen Ruß. (2008). A Universal Pricing Framework for Guaranteed Minimum Benefits in Variable Annuities. Astin Bulletin. 38(2). 621–651. 208 indexed citations

19.

Bauer, Daniel J., et al.. (2007). Risk-neutral valuation of participating life insurance contracts in a stochastic interest rate environment. Insurance Mathematics and Economics. 43(1). 29–40. 44 indexed citations

20.

Halpern, Carolyn Tucker, Denise Dion Hallfors, Daniel J. Bauer, et al.. (2004). Implications of Racial and Gender Differences In Patterns of Adolescent Risk Behavior for HIV And Other Sexually Transmitted Diseases. Perspectives on Sexual and Reproductive Health. 36(6). 239–247. 2 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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