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.
Impulse Response Functions Based on a Causal Approach to Residual Orthogonalization in Vector Autoregressions
1997245 citationsNorman R. Swanson, Clive W. J. Grangerprofile →
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late)
cites ·
hero ref
Countries citing papers authored by Norman R. Swanson
Since
Specialization
Citations
This map shows the geographic impact of Norman R. Swanson'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 Norman R. Swanson with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Norman R. Swanson more than expected).
Fields of papers citing papers by Norman R. Swanson
This network shows the impact of papers produced by Norman R. Swanson. 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 Norman R. Swanson. The network helps show where Norman R. Swanson may publish in the future.
Co-authorship network of co-authors of Norman R. Swanson
This figure shows the co-authorship network connecting the top 25 collaborators of Norman R. Swanson.
A scholar is included among the top collaborators of Norman R. Swanson 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 Norman R. Swanson. Norman R. Swanson is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Corradi, Valentina & Norman R. Swanson. (2013). Testing for Structural Stability of Factor Augmented Forecasting Models. SSRN Electronic Journal.2 indexed citations
9.
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
10.
Swanson, Norman R., et al.. (2010). Diffusion Index Models and Index Proxies: Recent Results and New Directions. European Journal of Pure and Applied Mathematics. 3(3). 478–501.2 indexed citations
11.
Bhardwaj, Geetesh, Valentina Corradi, & Norman R. Swanson. (2008). A Simulation Based Specification Test for Diffusion Processes. SSRN Electronic Journal.1 indexed citations
Swanson, Norman R. & John C. Chao. (2004). Estimation and Testing Using Jackknife IV in Heteroskedastic Regressions with Many Weak Instruments. RePEc: Research Papers in Economics.1 indexed citations
14.
Bhardwaj, Geetesh & Norman R. Swanson. (2004). An Empirical Investigation of the Usefulness of ARFIMA Models for Predicting Macroeconomic and Financial Time Series. SSRN Electronic Journal.6 indexed citations
15.
Swanson, Norman R. & Valentina Corradi. (2003). Some Recent Developments in Predictive Accuracy Testing With Nested Models and (Generic) Nonlinear Alternatives. SSRN Electronic Journal.2 indexed citations
16.
Ghysels, Éric, Norman R. Swanson, & Mark W. Watson. (2001). Essays in econometrics: Collected Papers of Clive W. J. Granger Volume 1, Spectral Analysis, Seasonality, Nonlinearity, Methodology, and Forecasting. Cambridge University Press eBooks.7 indexed citations
17.
Granger, Clive W. J., Éric Ghysels, Norman R. Swanson, & Mark W. Watson. (2001). Causality, integration and cointegration, and long memory. Cambridge University Press eBooks.3 indexed citations
18.
Granger, Clive W. J., Éric Ghysels, Norman R. Swanson, & Mark W. Watson. (2001). Spectral analysis, seasonality, nonlinearity, methodology, and forecasting. Cambridge University Press eBooks.1 indexed citations
19.
Chao, John C., Valentina Corradi, & Norman R. Swanson. (2001). Data Transformation and Forecasting in Models with Unit Roots and Cointegration. Annals of economics and finance. 2(1). 59–76.4 indexed citations
20.
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.