Brian Habing

831 total citations
24 papers, 605 citations indexed

About

Brian Habing is a scholar working on Management Science and Operations Research, Computer Networks and Communications and Statistics and Probability. According to data from OpenAlex, Brian Habing has authored 24 papers receiving a total of 605 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Management Science and Operations Research, 9 papers in Computer Networks and Communications and 9 papers in Statistics and Probability. Recurrent topics in Brian Habing's work include Psychometric Methodologies and Testing (10 papers), Advanced Statistical Modeling Techniques (9 papers) and Statistical Methods and Bayesian Inference (5 papers). Brian Habing is often cited by papers focused on Psychometric Methodologies and Testing (10 papers), Advanced Statistical Modeling Techniques (9 papers) and Statistical Methods and Bayesian Inference (5 papers). Brian Habing collaborates with scholars based in United States and South Korea. Brian Habing's co-authors include John S. Cacciola, Arthur I. Alterman, Jeff Douglas, Louis A. Roussos, Kevin G. Lynch, Holmes Finch, William Stout, Jinming Zhang, Megan Ivey and A. Thomas McLellan and has published in prestigious journals such as Journal of the American Statistical Association, Personality and Individual Differences and Addiction.

In The Last Decade

Brian Habing

23 papers receiving 574 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 Habing United States 13 237 158 140 117 99 24 605
Michael L. Nering United States 12 409 1.7× 215 1.4× 138 1.0× 28 0.2× 34 0.3× 18 901
Barbara G. Dodd United States 18 493 2.1× 294 1.9× 130 0.9× 27 0.2× 33 0.3× 60 900
Ching‐Lin Shih Taiwan 13 182 0.8× 121 0.8× 63 0.5× 32 0.3× 26 0.3× 23 513
Robert M. Pruzek United States 16 101 0.4× 43 0.3× 124 0.9× 65 0.6× 122 1.2× 39 906
Paul H. Jackson United Kingdom 14 210 0.9× 80 0.5× 282 2.0× 37 0.3× 58 0.6× 29 917
Karen Draney United States 7 178 0.8× 80 0.5× 71 0.5× 19 0.2× 26 0.3× 22 513
Bas T. Hemker Netherlands 11 277 1.2× 178 1.1× 134 1.0× 11 0.1× 44 0.4× 17 677
Jesper Tijmstra Netherlands 12 237 1.0× 82 0.5× 111 0.8× 12 0.1× 38 0.4× 29 595
R. J. De Ayala United States 17 438 1.8× 256 1.6× 180 1.3× 12 0.1× 26 0.3× 38 832
Timothy N. Ansley United States 12 166 0.7× 111 0.7× 55 0.4× 11 0.1× 44 0.4× 31 610

Countries citing papers authored by Brian Habing

Since Specialization
Citations

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

Fields of papers citing papers by Brian Habing

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Brian Habing

This figure shows the co-authorship network connecting the top 25 collaborators of Brian Habing. A scholar is included among the top collaborators of Brian Habing 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 Habing. Brian Habing 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.
2.
DiStefano, Christine, et al.. (2021). Effects of Mixing Weights and Predictor Distributions on Regression Mixture Models. Structural Equation Modeling A Multidisciplinary Journal. 29(1). 70–85. 2 indexed citations
3.
Dawson, Robin M., et al.. (2018). Exploring app features with outcomes in mHealth studies involving chronic respiratory diseases, diabetes, and hypertension: a targeted exploration of the literature. Journal of the American Medical Informatics Association. 25(10). 1407–1418. 46 indexed citations
4.
Wolfe, Katie, et al.. (2018). Using linear mixed effects models: A single-case experimental design meta-analysis of functional communication training. Evidence-Based Communication Assessment and Intervention. 12(1-2). 31–53. 1 indexed citations
5.
Habing, Brian, et al.. (2016). Conditional Covariance-Based Subtest Selection for Polytomous DIMTEST. Applied Psychological Measurement. 41(3). 209–226. 2 indexed citations
6.
Heiney, Sue P., Mary Gullatte, Pearman D. Parker, Barbara D. Powe, & Brian Habing. (2015). Fatalism Revisited: Further Psychometric Testing Across Two Studies. Journal of Religion and Health. 55(4). 1472–1481. 3 indexed citations
7.
Cacciola, John S., Arthur I. Alterman, Brian Habing, & A. Thomas McLellan. (2011). Recent status scores for version 6 of the Addiction Severity Index (ASI‐6). Addiction. 106(9). 1588–1602. 61 indexed citations
8.
Alterman, Arthur I., John S. Cacciola, Megan Ivey, et al.. (2010). Relationship of mental health and illness in substance abuse patients. Personality and Individual Differences. 49(8). 880–884. 16 indexed citations
9.
Deutsch, Roland C., John M. Grego, Brian Habing, & Walter W. Piegorsch. (2010). Maximum likelihood estimation with binary-data regression models: small-sample and large-sample features.. PubMed. 14(2). 101–116. 6 indexed citations
10.
Alterman, Arthur I., John S. Cacciola, Megan Ivey, Brian Habing, & Kevin G. Lynch. (2009). Reliability and Validity of the Alcohol Short Index of Problems and a Newly Constructed Drug Short Index of Problems. Journal of Studies on Alcohol and Drugs. 70(2). 304–307. 84 indexed citations
11.
Alterman, Arthur I., John S. Cacciola, Brian Habing, & Kevin G. Lynch. (2007). Addiction severity index recent and lifetime summary indexes based on nonparametric item response theory methods.. Psychological Assessment. 19(1). 119–132. 26 indexed citations
12.
Finch, Holmes & Brian Habing. (2007). Performance of DIMTEST- and NOHARM-Based Statistics for Testing Unidimensionality. Applied Psychological Measurement. 31(4). 292–307. 23 indexed citations
13.
Finch, Holmes & Brian Habing. (2005). Comparison of NOHARM and DETECT in Item Cluster Recovery: Counting Dimensions and Allocating Items. Journal of Educational Measurement. 42(2). 149–169. 19 indexed citations
14.
Habing, Brian, Holmes Finch, & James S. Roberts. (2005). A Q3 Statistic for Unfolding Item Response Theory Models: Assessment of Unidimensionality With Two Factors and Simple Structure. Applied Psychological Measurement. 29(6). 457–471. 14 indexed citations
15.
Stout, William, et al.. (2003). DEVELOPMENT OF A SIBTEST BUNDLE METHODOLOGY FOR IMPROVING TEST EQUITY, WITH APPLICATIONS FOR GRE TEST DEVELOPMENT. ETS Research Report Series. 2003(1). 3 indexed citations
16.
Habing, Brian & Louis A. Roussos. (2003). On the Need for Negative Local Item Dependence. Psychometrika. 68(3). 435–451. 12 indexed citations
17.
Habing, Brian. (2001). Nonparametric Regression and the Parametric Bootstrap for Local Dependence Assessment. Applied Psychological Measurement. 25(3). 221–233. 18 indexed citations
18.
Douglas, Jeff, et al.. (1998). Investigating Local Dependence with Conditional Covariance Functions. Journal of Educational and Behavioral Statistics. 23(2). 129–129. 4 indexed citations
19.
Stout, William, et al.. (1996). Conditional Covariance-Based Nonparametric Multidimensionality Assessment. Applied Psychological Measurement. 20(4). 331–354. 132 indexed citations
20.
Stout, William, Ratna Nandakumar, & Brian Habing. (1996). Analysis of Latent Dimensionality of Dichotomously and Polytomously Scored Test Data. Behaviormetrika. 23(1). 37–65. 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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Michael L. Nering Breakdown of academic impact, for papers by Barbara G. Dodd Breakdown of academic impact, for papers by Ching‐Lin Shih Breakdown of academic impact, for papers by Robert M. Pruzek Breakdown of academic impact, for papers by Paul H. Jackson Breakdown of academic impact, for papers by Karen Draney Breakdown of academic impact, for papers by Bas T. Hemker Breakdown of academic impact, for papers by Jesper Tijmstra Breakdown of academic impact, for papers by R. J. De Ayala Breakdown of academic impact, for papers by Timothy N. Ansley
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