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.
Testing for a unit root in time series regression
198813.3k citationsPeter C.B. Phillips, Pierre PerrónBiometrikaprofile →
Testing the null hypothesis of stationarity against the alternative of a unit root
19928.9k citationsPeter C.B. Phillips, Peter Schmidt et al.Journal of Econometricsprofile →
Statistical Inference in Instrumental Variables Regression with I(1) Processes
19903.4k citationsPeter C.B. Phillips et al.profile →
Understanding spurious regressions in econometrics
19861.1k citationsPeter C.B. PhillipsJournal of Econometricsprofile →
Dynamic Panel Estimation and Homogenity Testing Under Cross Section Dependence
2002937 citationsPeter C.B. Phillips et al.RePEc: Research Papers in Economicsprofile →
Linear Regression Limit Theory for Nonstationary Panel Data
1999935 citationsPeter C.B. Phillips, Hyungsik Roger Moonprofile →
Testing for a Unit Root in Time Series Regression
1988800 citationsPeter C.B. Phillips, Pierre PerrónBiometrikaprofile →
TESTING FOR MULTIPLE BUBBLES: HISTORICAL EPISODES OF EXUBERANCE AND COLLAPSE IN THE S&P 500
2015743 citationsPeter C.B. Phillips, Jun Yu et al.profile →
EXPLOSIVE BEHAVIOR IN THE 1990s NASDAQ: WHEN DID EXUBERANCE ESCALATE ASSET VALUES?*
2011738 citationsPeter C.B. Phillips, Jun Yu et al.profile →
Countries citing papers authored by Peter C.B. Phillips
Since
Specialization
Citations
This map shows the geographic impact of Peter C.B. Phillips'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 Peter C.B. Phillips with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Peter C.B. Phillips more than expected).
Fields of papers citing papers by Peter C.B. Phillips
This network shows the impact of papers produced by Peter C.B. Phillips. 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 Peter C.B. Phillips. The network helps show where Peter C.B. Phillips may publish in the future.
Co-authorship network of co-authors of Peter C.B. Phillips
This figure shows the co-authorship network connecting the top 25 collaborators of Peter C.B. Phillips.
A scholar is included among the top collaborators of Peter C.B. Phillips 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 Peter C.B. Phillips. Peter C.B. Phillips is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Phillips, Peter C.B.. (2016). Diversity and fish community structure in a Central American mangrove embayment. Revista de Biología Tropical. 29(2). 227–236.1 indexed citations
7.
Sun, Yixiao & Peter C.B. Phillips. (2008). Optimal Bandwidth Choice for Interval Estimation in GMM Regression. SSRN Electronic Journal.7 indexed citations
8.
Kim, Chang Sik & Peter C.B. Phillips. (2006). Log Periodogram Regression: The Nonstationary Case. SSRN Electronic Journal.11 indexed citations
9.
Phillips, Peter C.B. & Jun Yu. (2006). Realized Variance and Market Microstructure Noise - Comment. Journal of Business and Economic Statistics. 24(2). 202–208.9 indexed citations
10.
Wang, Qiying & Peter C.B. Phillips. (2006). Asymptotic Theory for Local Time Density Estimation and Nonparametric Cointegration Regression. SSRN Electronic Journal.23 indexed citations
11.
Bandi, Federico M. & Peter C.B. Phillips. (2005). A Simple Approach to the Parametric Estimation of Potentially Nonstationary Diffusions. Institutional Knowledge (InK) - Institutional Knowledge at Singapore Management University (Singapore Management University).6 indexed citations
12.
Phillips, Peter C.B., Yixiao Sun, & Sainan Jin. (2003). Long Run Variance Estimation Using Steep Origin Kernels without Truncation. RePEc: Research Papers in Economics.5 indexed citations
13.
Ouliaris, Sam, et al.. (2002). Band Spectral Regression with Trending Data. SSRN Electronic Journal.7 indexed citations
14.
Jin, Sainan & Peter C.B. Phillips. (2002). The KPSS Test with Seasonal Dummies. Singapore Management University Institutional Knowledge (InK) (Singapore Management University).1 indexed citations
Phillips, Peter C.B.. (1999). Unit Root Log Periodogram Regression. Institutional Knowledge (InK) - Institutional Knowledge at Singapore Management University (Singapore Management University).8 indexed citations
18.
Phillips, Peter C.B., et al.. (1992). Testing the null hypothesis of stationarity against the alternative of a unit root. Journal of Econometrics. 54(1-3). 159–178.8941 indexed citations breakdown →
19.
Phillips, Peter C.B. & Pierre Perrón. (1988). Testing for a unit root in time series regression. Biometrika. 75(2). 335–346.13342 indexed citations breakdown →
20.
Bailey, R. W., Viv Hall, & Peter C.B. Phillips. (1980). A Model of Output, Employment, Capital Formation and Inflation. RePEc: Research Papers in Economics.5 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.