Winfried Pohlmeier

1.8k total citations
65 papers, 1.0k citations indexed

About

Winfried Pohlmeier is a scholar working on Economics and Econometrics, General Economics, Econometrics and Finance and Finance. According to data from OpenAlex, Winfried Pohlmeier has authored 65 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 37 papers in Economics and Econometrics, 17 papers in General Economics, Econometrics and Finance and 13 papers in Finance. Recurrent topics in Winfried Pohlmeier's work include Monetary Policy and Economic Impact (11 papers), Labor market dynamics and wage inequality (10 papers) and Financial Risk and Volatility Modeling (8 papers). Winfried Pohlmeier is often cited by papers focused on Monetary Policy and Economic Impact (11 papers), Labor market dynamics and wage inequality (10 papers) and Financial Risk and Volatility Modeling (8 papers). Winfried Pohlmeier collaborates with scholars based in Germany, United Kingdom and Japan. Winfried Pohlmeier's co-authors include Volker Ulrich, S. Derya Uysal, Ingmar Nolte, Horst Entorf, Thomas König, Friedhelm Pfeiffer, Heinz König, Roman Liesenfeld, Luc Bauwens and David Veredas and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Business and Economic Statistics and The Journal of Human Resources.

In The Last Decade

Winfried Pohlmeier

59 papers receiving 883 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Winfried Pohlmeier Germany 15 587 295 218 109 106 65 1.0k
J. Michael Orszag United Kingdom 14 462 0.8× 201 0.7× 168 0.8× 88 0.8× 70 0.7× 57 881
Garry F. Barrett Australia 20 582 1.0× 380 1.3× 254 1.2× 329 3.0× 106 1.0× 51 1.3k
Jaap H. Abbring Netherlands 13 774 1.3× 368 1.2× 69 0.3× 122 1.1× 63 0.6× 49 1.2k
Chiara Monfardini Italy 13 339 0.6× 108 0.4× 114 0.5× 250 2.3× 80 0.8× 60 787
Dean Hyslop New Zealand 13 806 1.4× 229 0.8× 70 0.3× 276 2.5× 146 1.4× 60 1.2k
Valentino Dardanoni Italy 21 557 0.9× 166 0.6× 107 0.5× 300 2.8× 72 0.7× 45 1.1k
Kaushik Kalyanaraman India 3 594 1.0× 122 0.4× 136 0.6× 292 2.7× 35 0.3× 7 1.5k
Matteo Richiardi Italy 16 490 0.8× 168 0.6× 176 0.8× 148 1.4× 120 1.1× 62 920
Charles M. Beach Canada 19 860 1.5× 300 1.0× 129 0.6× 684 6.3× 313 3.0× 57 1.6k
Franco Peracchi Italy 21 719 1.2× 687 2.3× 128 0.6× 404 3.7× 94 0.9× 94 1.9k

Countries citing papers authored by Winfried Pohlmeier

Since Specialization
Citations

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

Fields of papers citing papers by Winfried Pohlmeier

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Winfried Pohlmeier

This figure shows the co-authorship network connecting the top 25 collaborators of Winfried Pohlmeier. A scholar is included among the top collaborators of Winfried Pohlmeier 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 Winfried Pohlmeier. Winfried Pohlmeier 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.
Wikelski, Martin, Paola Scocco, Andrea Catorci, et al.. (2020). Potential short‐term earthquake forecasting by farm animal monitoring. Ethology. 126(9). 931–941. 25 indexed citations
2.
Martín, P., et al.. (2018). Monitoring pre-seismic activity changes in a domestic animal collective in Central Italy. Unicam Scientific Publications (University of Camerino). 20. 19348–19348. 2 indexed citations
3.
Pohlmeier, Winfried, et al.. (2017). Noncognitive Skills and Labor Market Outcomes: A Machine Learning Approach. Econstor (Econstor). 1 indexed citations
4.
Pohlmeier, Winfried, et al.. (2014). A simple and successful shrinkage method for weighting estimators of treatment effects. Computational Statistics & Data Analysis. 100. 512–525. 3 indexed citations
5.
Pohlmeier, Winfried, et al.. (2011). Improving the Value at Risk Forecasts: Theory and Evidence from the Financial Crisis. SSRN Electronic Journal. 5 indexed citations
6.
Krüger, Fabian, et al.. (2011). Combining Survey Forecasts and Time Series Models: The Case of the Euribor. Jahrbücher für Nationalökonomie und Statistik. 231(1). 63–81. 3 indexed citations
7.
Krüger, Fabian, et al.. (2010). Can we help finance professionals to predict the Euribor rate. Social Science Open Access Repository (GESIS – Leibniz Institute for the Social Sciences). 2. 10. 1 indexed citations
8.
Nolte, Ingmar, et al.. (2009). An inflated multivariate integer count hurdle model: an application to bid and ask quote dynamics. Journal of Applied Econometrics. 26(4). 669–707. 16 indexed citations
9.
Pohlmeier, Winfried, Luc Bauwens, & David Veredas. (2007). High frequency financial econometrics : recent developments. RePEc: Research Papers in Economics. 30 indexed citations
10.
König, Thomas, et al.. (2007). Bicameral Conflict Resolution in the European Union: An Empirical Analysis of Conciliation Committee Bargains. British Journal of Political Science. 37(2). 281–312. 70 indexed citations
11.
Pohlmeier, Winfried, et al.. (2006). Bicameral Conflict Resolution in the European Union: An Empirical Analysis of Conciliation Committee Bargains. SSRN Electronic Journal. 1 indexed citations
12.
Pohlmeier, Winfried, et al.. (2006). To Blank or Not to Blank? A Comparison of the Effects of Disclosure Limitation Methods on Nonlinear Regression Estimates. SSRN Electronic Journal. 1 indexed citations
13.
Pohlmeier, Winfried, et al.. (2004). Der Kausaleffekt von Bildungsinvestitionen : empirische Evidenz für Deutschland. KOPS (University of Konstanz). 354. i5323–i5323. 3 indexed citations
14.
Pfeiffer, Friedhelm & Winfried Pohlmeier. (1998). Qualifikation, Weiterbildung und Arbeitsmarkterfolg. 20 indexed citations
15.
König, Heinz, François Laisney, Michael Lechner, & Winfried Pohlmeier. (1995). Tax Illusion and Labour Supply of Married Women: Evidence from German Data. Kyklos. 48(3). 347–368. 17 indexed citations
16.
Pohlmeier, Winfried. (1994). Panelökonometrische Modelle für Zähldaten: Einige neuere Schätzverfahren. Zeitschrift für schweizerische Statistik und Volkswirtschaft/Schweizerische Zeitschrift für Volkswirtschaft und Statistik/Swiss journal of economics and statistics. 130(3). 553–574. 2 indexed citations
17.
Pohlmeier, Winfried & Volker Ulrich. (1992). Determinanten des Gesundheitszustands. Journal of Contextual Economics – Schmollers Jahrbuch. 112(2). 219–238. 1 indexed citations
18.
Entorf, Horst, Heinz König, & Winfried Pohlmeier. (1992). Labor Utilization and Nonwage Labor Costs in a Disequilibrium Macro Framework. Scandinavian Journal of Economics. 94(1). 71–71. 11 indexed citations
19.
König, Heinz & Winfried Pohlmeier. (1989). Worksharing and factor prices : a comparison of three flexible functional forms for nonlinear cost schemes. 145(2). 343–357. 16 indexed citations
20.
Pohlmeier, Winfried. (1989). Simultane Probit- und Tobitmodelle. MADOC (University of Mannheim). 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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