Anders Rygh Swensen

773 total citations
32 papers, 357 citations indexed

About

Anders Rygh Swensen is a scholar working on General Economics, Econometrics and Finance, Finance and Economics and Econometrics. According to data from OpenAlex, Anders Rygh Swensen has authored 32 papers receiving a total of 357 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in General Economics, Econometrics and Finance, 13 papers in Finance and 11 papers in Economics and Econometrics. Recurrent topics in Anders Rygh Swensen's work include Monetary Policy and Economic Impact (15 papers), Financial Risk and Volatility Modeling (11 papers) and Statistical Methods and Inference (9 papers). Anders Rygh Swensen is often cited by papers focused on Monetary Policy and Economic Impact (15 papers), Financial Risk and Volatility Modeling (11 papers) and Statistical Methods and Inference (9 papers). Anders Rygh Swensen collaborates with scholars based in Norway, Denmark and Italy. Anders Rygh Swensen's co-authors include Søren Johansen, Ådne Cappelen, Terje Skjerpen, Arvid Raknerud, Eilev S. Jansen and Bjarne E. Helvik and has published in prestigious journals such as Econometrica, IEEE Journal on Selected Areas in Communications and Journal of Econometrics.

In The Last Decade

Anders Rygh Swensen

31 papers receiving 318 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Anders Rygh Swensen Norway 10 193 187 168 118 28 32 357
Gael M. Martin Australia 12 203 1.1× 231 1.2× 285 1.7× 131 1.1× 96 3.4× 37 517
Alain Guay Canada 12 281 1.5× 274 1.5× 138 0.8× 59 0.5× 30 1.1× 32 389
Serge Darolles France 13 89 0.5× 213 1.1× 348 2.1× 76 0.6× 83 3.0× 43 454
Seiji Nabeya Japan 12 167 0.9× 142 0.8× 204 1.2× 163 1.4× 50 1.8× 28 414
Sergio G. Koreisha United States 13 228 1.2× 167 0.9× 194 1.2× 181 1.5× 98 3.5× 33 481
Timothy Christensen United States 7 65 0.3× 112 0.6× 66 0.4× 99 0.8× 34 1.2× 17 260
Victoria Zinde‐Walsh Canada 12 105 0.5× 154 0.8× 150 0.9× 218 1.8× 46 1.6× 37 421
Lorenzo Pascual Spain 7 120 0.6× 169 0.9× 174 1.0× 59 0.5× 93 3.3× 10 325
Giorgio Calzolari Italy 13 248 1.3× 299 1.6× 350 2.1× 161 1.4× 62 2.2× 52 565
Georgios Skoulakis United States 13 168 0.9× 304 1.6× 384 2.3× 36 0.3× 74 2.6× 26 548

Countries citing papers authored by Anders Rygh Swensen

Since Specialization
Citations

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

Fields of papers citing papers by Anders Rygh Swensen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Anders Rygh Swensen. 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 Anders Rygh Swensen. The network helps show where Anders Rygh Swensen may publish in the future.

Co-authorship network of co-authors of Anders Rygh Swensen

This figure shows the co-authorship network connecting the top 25 collaborators of Anders Rygh Swensen. A scholar is included among the top collaborators of Anders Rygh Swensen 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 Anders Rygh Swensen. Anders Rygh Swensen 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.
Swensen, Anders Rygh. (2023). Remaining Loads in a PH/M/c Queue with Impatient Customers. Methodology And Computing In Applied Probability. 25(1). 3 indexed citations
2.
Johansen, Søren & Anders Rygh Swensen. (2023). Adjustment coefficients and exact rational expectations in cointegrated vector autoregressive models. Journal of Time Series Analysis. 45(2). 248–268.
3.
Cappelen, Ådne, et al.. (2020). The Consumption Euler Equation or the Keynesian Consumption Function?*. Oxford Bulletin of Economics and Statistics. 83(1). 252–272. 9 indexed citations
4.
Johansen, Søren & Anders Rygh Swensen. (2011). On a Graphical Technique for Evaluating Some Rational Expectations Models. Research at the University of Copenhagen (University of Copenhagen). 3(1). 3 indexed citations
5.
Johansen, Søren & Anders Rygh Swensen. (2007). Exact Rational Expectations, Cointegration, and Reduced Rank Regression. SSRN Electronic Journal. 9 indexed citations
6.
Swensen, Anders Rygh. (2006). Bootstrap Algorithms for Testing and Determining the Cointegration Rank in VAR Models. Econometrica. 74(6). 1699–1714. 65 indexed citations
7.
Raknerud, Arvid, Terje Skjerpen, & Anders Rygh Swensen. (2006). A linear demand system within a seemingly unrelated time series equations framework. Empirical Economics. 32(1). 105–124. 4 indexed citations
8.
Johansen, Søren & Anders Rygh Swensen. (2004). More on testing exact rational expectations in cointegrated vector autoregressive models: Restricted constant and linear term. Econometrics Journal. 7(2). 389–397. 4 indexed citations
9.
Swensen, Anders Rygh. (2003). Bootstrapping unit root tests for integrated processes. Journal of Time Series Analysis. 24(1). 99–126. 37 indexed citations
10.
Swensen, Anders Rygh. (2003). A NOTE ON THE POWER OF BOOTSTRAP UNIT ROOT TESTS. Econometric Theory. 19(1). 13 indexed citations
11.
Johansen, Søren & Anders Rygh Swensen. (1999). Testing exact rational expectations in cointegrated vector autoregressive models. Journal of Econometrics. 93(1). 73–91. 43 indexed citations
12.
Swensen, Anders Rygh. (1996). On maximum likelihood estimation in the moverstayer model. Communication in Statistics- Theory and Methods. 25(8). 1717–1728. 3 indexed citations
13.
Swensen, Anders Rygh. (1993). A Note on Asymptotic Power Calculations in Nearly Nonstationary Time Series. Econometric Theory. 9(4). 659–667. 2 indexed citations
14.
Swensen, Anders Rygh. (1988). Estimating change in a proportion by combining measurements from a true and a fallible classifier. Scandinavian Journal of Statistics. 15(2). 139–145. 9 indexed citations
15.
Helvik, Bjarne E. & Anders Rygh Swensen. (1987). Modelling of clustering effects in point processes. An application to failure in SPC-systems. Scandinavian Journal of Statistics. 14(1). 57–66. 2 indexed citations
16.
Helvik, Bjarne E., et al.. (1986). The Activity-Dependent Failure Intensity of SPC Systems--Some Empirical Results. IEEE Journal on Selected Areas in Communications. 4(7). 1052–1059. 5 indexed citations
17.
Swensen, Anders Rygh. (1986). On a GI/M/c Queue with Bounded Waiting Times. Operations Research. 34(6). 895–908. 9 indexed citations
18.
Swensen, Anders Rygh. (1985). The asymptotic distribution of the likelihood ratio for autoregressive time series with a regression trend. Journal of Multivariate Analysis. 16(1). 54–70. 70 indexed citations
19.
Swensen, Anders Rygh. (1985). A note on statistical inference for a class of diffusions and approximate diffusions. Stochastic Processes and their Applications. 19(1). 111–123. 1 indexed citations
20.
Swensen, Anders Rygh. (1983). A note on asymptotic inference in a class of non-stationary processes. Stochastic Processes and their Applications. 15(2). 181–191. 6 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.

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