Sebastian Kripfganz

1.2k total citations · 1 hit paper
18 papers, 698 citations indexed

About

Sebastian Kripfganz is a scholar working on Economics and Econometrics, General Economics, Econometrics and Finance and Statistics and Probability. According to data from OpenAlex, Sebastian Kripfganz has authored 18 papers receiving a total of 698 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Economics and Econometrics, 8 papers in General Economics, Econometrics and Finance and 2 papers in Statistics and Probability. Recurrent topics in Sebastian Kripfganz's work include Spatial and Panel Data Analysis (13 papers), Monetary Policy and Economic Impact (7 papers) and Regional Economics and Spatial Analysis (5 papers). Sebastian Kripfganz is often cited by papers focused on Spatial and Panel Data Analysis (13 papers), Monetary Policy and Economic Impact (7 papers) and Regional Economics and Spatial Analysis (5 papers). Sebastian Kripfganz collaborates with scholars based in United Kingdom, Germany and South Africa. Sebastian Kripfganz's co-authors include Daniel C. Schneider, Jan F. Kiviet, Vasilis Sarafidis, Kazuhiko Hayakawa, Jörg Breitung, Daniel Schneider and Melanie Krause and has published in prestigious journals such as Journal of Statistical Software, Economics Letters and Journal of Applied Econometrics.

In The Last Decade

Sebastian Kripfganz

17 papers receiving 674 citations

Hit Papers

Response Surface Regressions for Critical Value Bounds an... 2020 2026 2022 2024 2020 50 100 150 200

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sebastian Kripfganz United Kingdom 12 503 160 123 83 77 18 698
Hussin Abdullah Malaysia 14 485 1.0× 191 1.2× 125 1.0× 79 1.0× 51 0.7× 80 730
Chí Minh Hồ Vietnam 15 399 0.8× 160 1.0× 64 0.5× 61 0.7× 64 0.8× 45 663
Carlos Lamarche United States 14 589 1.2× 140 0.9× 159 1.3× 86 1.0× 75 1.0× 39 853
Fatima Farooq Pakistan 14 504 1.0× 169 1.1× 117 1.0× 60 0.7× 39 0.5× 95 673
Ю.П. Лукашин 2 475 0.9× 111 0.7× 123 1.0× 151 1.8× 58 0.8× 2 817
Emeka Nkoro Nigeria 7 524 1.0× 128 0.8× 185 1.5× 45 0.5× 78 1.0× 26 682
Adeyemi Ogundipe Nigeria 18 575 1.1× 198 1.2× 109 0.9× 86 1.0× 54 0.7× 78 950
Rukhsana Kalim Pakistan 15 356 0.7× 82 0.5× 117 1.0× 88 1.1× 56 0.7× 42 511
Muhammad Azam Pakistan 12 533 1.1× 182 1.1× 64 0.5× 40 0.5× 64 0.8× 31 779
Constantinos Katrakilidis Greece 17 798 1.6× 210 1.3× 304 2.5× 66 0.8× 94 1.2× 51 915

Countries citing papers authored by Sebastian Kripfganz

Since Specialization
Citations

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

Fields of papers citing papers by Sebastian Kripfganz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sebastian Kripfganz. 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 Sebastian Kripfganz. The network helps show where Sebastian Kripfganz may publish in the future.

Co-authorship network of co-authors of Sebastian Kripfganz

This figure shows the co-authorship network connecting the top 25 collaborators of Sebastian Kripfganz. A scholar is included among the top collaborators of Sebastian Kripfganz 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 Sebastian Kripfganz. Sebastian Kripfganz is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

18 of 18 papers shown
1.
Krause, Melanie & Sebastian Kripfganz. (2025). Regional Dependencies and Local Spillovers: Insights From Commuter Flows. Journal of Regional Science. 65(3). 565–585.
2.
Kripfganz, Sebastian & Vasilis Sarafidis. (2025). Estimating Spatial Dynamic Panel Data Models with Unobserved Common Factors in Stata. Journal of Statistical Software. 113(6). 1 indexed citations
3.
Kripfganz, Sebastian & Daniel Schneider. (2023). ardl: Estimating autoregressive distributed lag and equilibrium correction models. The Stata Journal Promoting communications on statistics and Stata. 23(4). 983–1019. 34 indexed citations
4.
Kripfganz, Sebastian. (2023). Review of A. Colin Cameron and Pravin K. Trivedi’s Microeconometrics Using Stata, Second Edition. The Stata Journal Promoting communications on statistics and Stata. 23(4). 1062–1073. 1 indexed citations
5.
Kripfganz, Sebastian & Vasilis Sarafidis. (2021). XTIVDFREG: Stata module to perform defactored instrumental variables estimation of large panel data models. RePEc: Research Papers in Economics. 1 indexed citations
6.
Kripfganz, Sebastian & Vasilis Sarafidis. (2021). Instrumental-variable estimation of large-T panel-data models with common factors. The Stata Journal Promoting communications on statistics and Stata. 21(3). 659–686. 38 indexed citations
7.
Breitung, Jörg, Sebastian Kripfganz, & Kazuhiko Hayakawa. (2021). Bias-corrected method of moments estimators for dynamic panel data models. Econometrics and Statistics. 24. 116–132. 59 indexed citations
8.
Kiviet, Jan F. & Sebastian Kripfganz. (2021). Instrument approval by the Sargan test and its consequences for coefficient estimation. Economics Letters. 205. 109935–109935. 17 indexed citations
9.
Kripfganz, Sebastian & Jan F. Kiviet. (2021). kinkyreg: Instrument-free inference for linear regression models with endogenous regressors. The Stata Journal Promoting communications on statistics and Stata. 21(3). 772–813. 51 indexed citations
10.
Kripfganz, Sebastian & Daniel C. Schneider. (2020). Response Surface Regressions for Critical Value Bounds and Approximate p‐values in Equilibrium Correction Models1. Oxford Bulletin of Economics and Statistics. 82(6). 1456–1481. 208 indexed citations breakdown →
11.
Kripfganz, Sebastian & Vasilis Sarafidis. (2020). Instrumental Variable Estimation of Large Panel Data Models with Common Factors. SSRN Electronic Journal. 5 indexed citations
12.
Kripfganz, Sebastian, et al.. (2019). Estimation of linear dynamic panel data models with time‐invariant regressors. Journal of Applied Econometrics. 34(4). 526–546. 85 indexed citations
13.
Kripfganz, Sebastian. (2019). Generalized method of moments estimation of linear dynamic panel-data models. RePEc: Research Papers in Economics. 53 indexed citations
14.
Kripfganz, Sebastian. (2016). Quasi–maximum Likelihood Estimation of Linear Dynamic Short-T panel-data Models. The Stata Journal Promoting communications on statistics and Stata. 16(4). 1013–1038. 93 indexed citations
15.
Kripfganz, Sebastian, et al.. (2015). Estimation of linear dynamic panel data models with time-invariant regressors (working paper). Open Research Exeter (University of Exeter). 12 indexed citations
16.
Kripfganz, Sebastian, et al.. (2015). Estimation of Linear Dynamic Panel Data Models with Time-Invariant Regressors. SSRN Electronic Journal. 19 indexed citations
17.
Kripfganz, Sebastian, et al.. (2013). Estimation of Linear Dynamic Panel Data Models with Time-Invariant Regressors. SSRN Electronic Journal. 3 indexed citations
18.
Kripfganz, Sebastian, et al.. (2013). Estimation of Linear Dynamic Panel Data Models with Time-Invariant Regressors. SSRN Electronic Journal. 18 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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