Howard D. Bondell

4.7k total citations · 1 hit paper
80 papers, 3.2k citations indexed

About

Howard D. Bondell is a scholar working on Statistics and Probability, Artificial Intelligence and Economics and Econometrics. According to data from OpenAlex, Howard D. Bondell has authored 80 papers receiving a total of 3.2k indexed citations (citations by other indexed papers that have themselves been cited), including 42 papers in Statistics and Probability, 16 papers in Artificial Intelligence and 14 papers in Economics and Econometrics. Recurrent topics in Howard D. Bondell's work include Statistical Methods and Inference (36 papers), Statistical Methods and Bayesian Inference (15 papers) and Advanced Statistical Methods and Models (14 papers). Howard D. Bondell is often cited by papers focused on Statistical Methods and Inference (36 papers), Statistical Methods and Bayesian Inference (15 papers) and Advanced Statistical Methods and Models (14 papers). Howard D. Bondell collaborates with scholars based in United States, Australia and Canada. Howard D. Bondell's co-authors include Brian J. Reich, Aiyi Liu, Enrique F. Schisterman, Neil J. Perkins, M. Nils Peterson, Kathryn T. Stevenson, Huixia Wang, Susan E. Moore, Sujit K. Ghosh and Sarah Carrier and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of the American Statistical Association and PLoS ONE.

In The Last Decade

Howard D. Bondell

76 papers receiving 3.1k citations

Hit 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.

Optimal Cut-point and Its Corresponding Youden Index to Discriminate Individuals Using Pooled Blood Samples

2004 945 citations Enrique F. Schisterman, Neil J. Perkins et al. Epidemiology profile →

Peers

Countries citing papers authored by Howard D. Bondell

Since Specialization

Citations

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

Fields of papers citing papers by Howard D. Bondell

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Howard D. Bondell. 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 Howard D. Bondell. The network helps show where Howard D. Bondell may publish in the future.

Co-authorship network of co-authors of Howard D. Bondell

This figure shows the co-authorship network connecting the top 25 collaborators of Howard D. Bondell. A scholar is included among the top collaborators of Howard D. Bondell 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 Howard D. Bondell. Howard D. Bondell 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

#	Work	Indexed citations
1	Efficient sparse high-dimensional linear regression with a partitioned empirical Bayes ECM algorithm 2025 ·Computational Statistics & Data Analysis ·Alexander C. McLain, Anja Zgodic, Howard D. Bondell	0
2	Adaptive sampling method to monitor low‐risk pathways with limited surveillance resources 2024 ·Risk Analysis ·Thao P. Le, (unknown), Howard D. Bondell, Andrew P. Robinson, Christopher M. Baker	2
3	Multilevel joint frailty model for hierarchically clustered binary and survival data 2023 ·Statistics in Medicine ·(unknown), Howard D. Bondell	1
4	A representation learning framework for detection and characterization of dead versus strain localization zones from pre- to post-failure 2022 ·Granular Matter ·Antoinette Tordesillas, Shuo Zhou, James Bailey, Howard D. Bondell	7
5	On local intrinsic dimensionality of deformation in complex materials 2021 ·Scientific Reports ·Shuo Zhou, Antoinette Tordesillas, Mehdi Pouragha, James Bailey, Howard D. Bondell	9
6	Optimal allocation of PCR tests to minimise disease transmission through contact tracing and quarantine 2021 ·Epidemics ·Christopher M. Baker, Iadine Chadès, Jodie McVernon, Andrew P. Robinson, Howard D. Bondell	11
7	Outlier Detection and Robust Estimation in Nonparametric Regression 2018 ·International Conference on Artificial Intelligence and Statistics ·Dehan Kong, Howard D. Bondell, Weining Shen	2
8	The influence of personal beliefs, friends, and family in building climate change concern among adolescents 2016 ·Environmental Education Research ·Kathryn T. Stevenson, M. Nils Peterson, Howard D. Bondell	120
9	Pupillary response to complex interdependent tasks: A cognitive-load theory perspective 2016 ·Behavior Research Methods ·(unknown), Karen S. McNeal, Howard D. Bondell	26
10	Prediction indicators for voluntary carbon-offset purchases among trail runners. 2013 ·Journal of sport behavior ·M. Nils Peterson, Howard D. Bondell, (unknown), (unknown), Melissa R. McHale	3
11	RADIOGRAPHIC EVALUATION OF FELINE APPENDICULAR DEGENERATIVE JOINT DISEASE VS. MACROSCOPIC APPEARANCE OF ARTICULAR CARTILAGE 2011 ·Veterinary Radiology & Ultrasound ·Mila Freire, Ian Robertson, Howard D. Bondell, James A. Brown, (unknown), Anthony Pease, B. Duncan X. Lascelles	39
12	Item generation and design testing of a questionnaire to assess degenerative joint disease–associated pain in cats 2010 ·American Journal of Veterinary Research ·Helia Zamprogno, Bernie D. Hansen, Howard D. Bondell, (unknown), Wendy Simpson, Ian Robertson, James A. Brown, Anthony Pease, Simon C. Roe, Elizabeth M. Hardie, Simon J. Wheeler, B. Duncan X. Lascelles	60
13	Noncrossing quantile regression curve estimation 2010 ·Biometrika ·Howard D. Bondell, Brian J. Reich, Huixia Wang	200
14	Joint Variable Selection for Fixed and Random Effects in Linear Mixed‐Effects Models 2010 ·Biometrics ·Howard D. Bondell, (unknown), Sujit K. Ghosh	165
15	A Spatial Dirichlet Process Mixture Model for Clustering Population Genetics Data 2010 ·Biometrics ·Brian J. Reich, Howard D. Bondell	25
16	Variable Selection in Bayesian Smoothing Spline ANOVA Models: Application to Deterministic Computer Codes 2009 ·Technometrics ·Brian J. Reich, Curtis B. Storlie, Howard D. Bondell	55
17	Flexible Bayesian quantile regression for independent and clustered data 2009 ·Biostatistics ·Brian J. Reich, Howard D. Bondell, Huixia Wang	98
18	Bayesian variable selection using an adaptive powered correlation prior 2008 ·Journal of Statistical Planning and Inference ·(unknown), Howard D. Bondell, Sujit K. Ghosh	15
19	Simultaneous Regression Shrinkage, Variable Selection, and Supervised Clustering of Predictors with OSCAR 2007 ·Biometrics ·Howard D. Bondell, Brian J. Reich	288
20	Optimal Cut-point and Its Corresponding Youden Index to Discriminate Individuals Using Pooled Blood Samples breakdown → 2004 ·Epidemiology ·Enrique F. Schisterman, Neil J. Perkins, Aiyi Liu, Howard D. Bondell	945

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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