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.
A Heteroskedasticity-Consistent Covariance Matrix Estimator and a Direct Test for Heteroskedasticity
This map shows the geographic impact of Halbert White'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 Halbert White with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Halbert White more than expected).
This network shows the impact of papers produced by Halbert White. 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 Halbert White. The network helps show where Halbert White may publish in the future.
Co-authorship network of co-authors of Halbert White
This figure shows the co-authorship network connecting the top 25 collaborators of Halbert White.
A scholar is included among the top collaborators of Halbert White 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 Halbert White. Halbert White is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
White, Halbert, Xiaohong Chen, & Norman R. Swanson. (2013). Recent advances and future directions in causality, prediction, and specification analysis : essays in honor of Halbert L. White Jr. Springer eBooks.17 indexed citations
White, Halbert, Tae‐Hwan Kim, & Simone Manganelli. (2010). VAR for VaR: Measuring Systemic Risk Using Multivariate Regression Quantiles ∗. Munich Personal RePEc Archive (Ludwig Maximilian University of Munich).17 indexed citations
7.
White, Halbert, et al.. (2009). Inference on Risk-Neutral Measures for Incomplete Markets. SSRN Electronic Journal.1 indexed citations
8.
White, Halbert, et al.. (2009). Linking Granger Causality and the Pearl Causal Model with Settable Systems. RePEc: Research Papers in Economics. 12. 1–29.4 indexed citations
9.
Golomb, Beatrice A., Joel E. Dimsdale, Halbert White, & Michael H. Criqui. (2006). Abstract 1501: Do Low Dose Statins Affect Cognition? Results of the UCSD Statin Study. Circulation. 114.7 indexed citations
Kim, Tae‐Hwan & Halbert White. (2003). On More Robust Estimation of Skewness and Kurtosis: Simulation and Application to the S&P500 Index. RePEc: Research Papers in Economics.46 indexed citations
12.
Haefke, Christian, et al.. (1999). Closed form integration of artificial neural networks with some applications. Econstor (Econstor).1 indexed citations
13.
Sullivan, Ryan J., Allan Timmermann, & Halbert White. (1998). Dangers of Data-Driven Inference: The Case of Calendar Effects in Stock Returns. eScholarship (California Digital Library).36 indexed citations
14.
Sullivan, Ryan J., Allan Timmermann, & Halbert White. (1997). Data-Snooping, Technical Trading Rule Performance, and the Bootstrap. London School of Economics and Political Science Research Online (London School of Economics and Political Science).57 indexed citations
15.
Swanson, Norman R. & Halbert White. (1997). A model-selection approach to real-time macroeconomic forecasting using linear models and. The Review of Economics and Statistics. 79(4). 540–550.16 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.