Michael P. Clements

9.7k total citations
127 papers, 4.9k citations indexed

About

Michael P. Clements is a scholar working on General Economics, Econometrics and Finance, Economics and Econometrics and Management Science and Operations Research. According to data from OpenAlex, Michael P. Clements has authored 127 papers receiving a total of 4.9k indexed citations (citations by other indexed papers that have themselves been cited), including 98 papers in General Economics, Econometrics and Finance, 94 papers in Economics and Econometrics and 34 papers in Management Science and Operations Research. Recurrent topics in Michael P. Clements's work include Monetary Policy and Economic Impact (98 papers), Market Dynamics and Volatility (67 papers) and Forecasting Techniques and Applications (34 papers). Michael P. Clements is often cited by papers focused on Monetary Policy and Economic Impact (98 papers), Market Dynamics and Volatility (67 papers) and Forecasting Techniques and Applications (34 papers). Michael P. Clements collaborates with scholars based in United Kingdom, United States and Australia. Michael P. Clements's co-authors include David F. Hendry, Ana Beatriz Galvão, Jeremy Smith, Hans‐Martin Krolzig, Philip Hans Franses, Norman R. Swanson, Nick Taylor, Grayham E. Mizon, Jae H. Kim and David I. Harvey and has published in prestigious journals such as Journal of the American Statistical Association, The Economic Journal and Journal of Econometrics.

In The Last Decade

Michael P. Clements

119 papers receiving 4.5k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Michael P. Clements United Kingdom 35 3.4k 3.1k 1.5k 1.4k 251 127 4.9k
Massimiliano Marcellino Italy 44 4.5k 1.3× 4.2k 1.3× 1.0k 0.7× 2.1k 1.5× 337 1.3× 232 6.1k
Norman R. Swanson United States 32 2.4k 0.7× 1.9k 0.6× 1.0k 0.7× 1.1k 0.8× 330 1.3× 144 3.9k
David I. Harvey United Kingdom 26 2.7k 0.8× 2.1k 0.7× 788 0.5× 1.4k 1.0× 200 0.8× 88 3.8k
Stephen J. Leybourne United Kingdom 33 4.4k 1.3× 3.5k 1.1× 813 0.5× 2.3k 1.6× 385 1.5× 137 5.9k
Dick van Dijk Netherlands 39 4.0k 1.2× 2.7k 0.9× 830 0.6× 3.4k 2.4× 344 1.4× 172 6.1k
Lucrezia Reichlin United Kingdom 37 5.6k 1.7× 5.7k 1.8× 1.0k 0.7× 3.1k 2.2× 652 2.6× 100 8.1k
Robert B. Litterman United States 24 3.5k 1.0× 3.1k 1.0× 1.5k 1.0× 3.6k 2.6× 307 1.2× 47 6.5k
Kenneth F. Wallis United Kingdom 34 2.4k 0.7× 2.2k 0.7× 790 0.5× 925 0.7× 351 1.4× 101 4.0k
Roberto S. Mariano United States 20 4.2k 1.2× 3.3k 1.1× 1.6k 1.1× 2.9k 2.1× 403 1.6× 73 6.7k
George Kapetanios United Kingdom 34 4.5k 1.3× 3.3k 1.1× 582 0.4× 1.9k 1.3× 370 1.5× 220 5.8k

Countries citing papers authored by Michael P. Clements

Since Specialization
Citations

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

Fields of papers citing papers by Michael P. Clements

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Michael P. Clements. 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 Michael P. Clements. The network helps show where Michael P. Clements may publish in the future.

Co-authorship network of co-authors of Michael P. Clements

This figure shows the co-authorship network connecting the top 25 collaborators of Michael P. Clements. A scholar is included among the top collaborators of Michael P. Clements 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 Michael P. Clements. Michael P. Clements 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.
Clements, Michael P.. (2024). Survey expectations and adjustments for multiple testing. Journal of Economic Behavior & Organization. 224. 338–354.
2.
Clements, Michael P., et al.. (2023). Does the age of compensation committee members matter for CEO compensation?. Corporate Governance An International Review. 32(4). 600–624. 4 indexed citations
3.
Padgett, Carol, et al.. (2022). The choice of performance measures, target setting and vesting levels in UK firms' Chief Executive Officer equity‐based compensation. International Journal of Finance & Economics. 28(4). 4246–4270.
4.
Clements, Michael P.. (2020). Are Some Forecasters’ Probability Assessments of Macro Variables Better Than Those of Others?. Econometrics. 8(2). 16–16. 6 indexed citations
5.
Clements, Michael P., et al.. (2019). Forecasting. Yale University Press eBooks. 1 indexed citations
6.
Clements, Michael P. & Ana Beatriz Galvão. (2015). Predicting Early Data Revisions to U.S. GDP and the Effects of Releases on Equity Markets. Journal of Business and Economic Statistics. 35(3). 389–406. 18 indexed citations
7.
Clements, Michael P.. (2012). Subjective and Ex Post Forecast Uncertainty : US Inflation and Output Growth. Warwick Research Archive Portal (University of Warwick). 1 indexed citations
8.
Clements, Michael P.. (2010). Why are survey forecasts superior to model forecasts. Warwick Research Archive Portal (University of Warwick). 1 indexed citations
9.
Clements, Michael P. & Ana Beatriz Galvão. (2010). Real-time Forecasting of In‡ation and Output Growth in the Presence of Data Revisions. The Warwick Economics Research Paper Series (TWERPS). 7 indexed citations
10.
Clements, Michael P. & David I. Harvey. (2010). Combining probability forecasts. International Journal of Forecasting. 27(2). 208–223. 46 indexed citations
11.
Clements, Michael P. & David F. Hendry. (2004). Pooling of Forecasts.. Oxford University Research Archive (ORA) (University of Oxford). 330 indexed citations
12.
Clements, Michael P.. (2004). Evaluating the Bank of England Density Forecasts of Inflation. SSRN Electronic Journal.
13.
Clements, Michael P. & David F. Hendry. (2003). Modelling Methodology and Forecast Failure. Oxford University Research Archive (ORA) (University of Oxford). 3 indexed citations
14.
Clements, Michael P. & Nick Taylor. (2003). Evaluating interval forecasts of high‐frequency financial data. Journal of Applied Econometrics. 18(4). 445–456. 41 indexed citations
15.
Clements, Michael P. & Jeremy Smith. (2002). Evaluating multivariate forecast densities: a comparison of two approaches. International Journal of Forecasting. 18(3). 397–407. 36 indexed citations
16.
Clements, Michael P. & David F. Hendry. (1999). Forecasting Non-Stationary Economic Time Series. Oxford University Research Archive (ORA) (University of Oxford). 1. 249 indexed citations
17.
Clements, Michael P. & David F. Hendry. (1999). On winning forecasting competitions in economics. Oxford University Research Archive (ORA) (University of Oxford). 1(2). 123–160. 32 indexed citations
18.
Fowler, A. C., G. Kember, Peter Johnson, et al.. (1994). A Method for Filtering Respiratory Oscillations. Journal of Theoretical Biology. 170(3). 273–281.
19.
Clements, Michael P. & Grayham E. Mizon. (1991). Empirical analysis of macroeconomic time series. European Economic Review. 35(4). 887–917. 86 indexed citations
20.
Clements, Michael P. & David F. Hendry. (1977). Forecasting Economic Time Series. Oxford University Research Archive (ORA) (University of Oxford). 491 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

Rankless by CCL
2026