Florian M Hollenbach

1.0k total citations
19 papers, 587 citations indexed

About

Florian M Hollenbach is a scholar working on Economics and Econometrics, Political Science and International Relations and Sociology and Political Science. According to data from OpenAlex, Florian M Hollenbach has authored 19 papers receiving a total of 587 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Economics and Econometrics, 7 papers in Political Science and International Relations and 5 papers in Sociology and Political Science. Recurrent topics in Florian M Hollenbach's work include Fiscal Policy and Economic Growth (5 papers), Local Government Finance and Decentralization (4 papers) and Statistical Methods and Bayesian Inference (3 papers). Florian M Hollenbach is often cited by papers focused on Fiscal Policy and Economic Growth (5 papers), Local Government Finance and Decentralization (4 papers) and Statistical Methods and Bayesian Inference (3 papers). Florian M Hollenbach collaborates with scholars based in United States, Germany and United Kingdom. Florian M Hollenbach's co-authors include Jan Pierskalla, Michael D. Ward, Jacob Montgomery, Timm Betz, Scott Cook, Max Gallop, Nils W. Metternich, Simon Weschle, Cassy Dorff and Michael Laver and has published in prestigious journals such as American Political Science Review, The Journal of Politics and International Journal of Forecasting.

In The Last Decade

Florian M Hollenbach

19 papers receiving 544 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Florian M Hollenbach United States 10 292 175 132 77 70 19 587
Vito D’Orazio United States 12 304 1.0× 216 1.2× 72 0.5× 19 0.2× 138 2.0× 34 576
Matt Ryan United Kingdom 13 173 0.6× 144 0.8× 59 0.4× 90 1.2× 17 0.2× 47 454
Darren J. Lim Australia 13 358 1.2× 304 1.7× 96 0.7× 134 1.7× 66 0.9× 25 690
David R. Mares United States 11 220 0.8× 217 1.2× 44 0.3× 28 0.4× 72 1.0× 53 490
Chris C. Demchak United States 13 232 0.8× 343 2.0× 66 0.5× 124 1.6× 45 0.6× 42 687
Jeff Gill United States 14 186 0.6× 211 1.2× 125 0.9× 25 0.3× 109 1.6× 28 663
Wang Feng China 13 259 0.9× 212 1.2× 117 0.9× 22 0.3× 23 0.3× 42 628
John Bonner United Kingdom 9 184 0.6× 203 1.2× 301 2.3× 45 0.6× 74 1.1× 38 761
Riccardo Puglisi Italy 13 494 1.7× 217 1.2× 211 1.6× 219 2.8× 22 0.3× 31 748
Naomi Aoki Singapore 10 204 0.7× 75 0.4× 40 0.3× 16 0.2× 80 1.1× 30 522

Countries citing papers authored by Florian M Hollenbach

Since Specialization
Citations

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

Fields of papers citing papers by Florian M Hollenbach

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Florian M Hollenbach. 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 Florian M Hollenbach. The network helps show where Florian M Hollenbach may publish in the future.

Co-authorship network of co-authors of Florian M Hollenbach

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

All Works

19 of 19 papers shown
1.
Hollenbach, Florian M, et al.. (2022). Capital Mobility and Taxation: State–Business Collusion in China. International Studies Quarterly. 66(1). 5 indexed citations
2.
Hollenbach, Florian M, et al.. (2020). Capital Mobility & Taxation in Non-OECDCountries – Evidence from China. SSRN Electronic Journal. 1 indexed citations
3.
Betz, Timm, Scott Cook, & Florian M Hollenbach. (2020). Bias from Network Misspecification Under Spatial Dependence. Political Analysis. 29(2). 260–266. 1 indexed citations
4.
Hollenbach, Florian M. (2019). Elite interests and public spending: Evidence from Prussian cities. The Review of International Organizations. 16(1). 189–211. 8 indexed citations
5.
Betz, Timm, Scott Cook, & Florian M Hollenbach. (2019). Spatial interdependence and instrumental variable models. Political Science Research and Methods. 8(4). 646–661. 42 indexed citations
6.
Hollenbach, Florian M, et al.. (2019). Fiscal Capacity and Inequality: Evidence from Brazilian Municipalities. The Journal of Politics. 81(4). 1434–1445. 22 indexed citations
7.
Hollenbach, Florian M, Iavor Bojinov, Shahryar Minhas, et al.. (2018). Multiple Imputation Using Gaussian Copulas. Sociological Methods & Research. 50(3). 1259–1283. 20 indexed citations
8.
Betz, Timm, Scott Cook, & Florian M Hollenbach. (2018). On the Use and Abuse of Spatial Instruments. Political Analysis. 26(4). 474–479. 50 indexed citations
9.
Hollenbach, Florian M, Jacob Montgomery, & Adriana Crespo-Tenorio. (2018). Bayesian Versus Maximum Likelihood Estimation of Treatment Effects in Bivariate Probit Instrumental Variable Models. Political Science Research and Methods. 7(3). 651–659. 5 indexed citations
10.
Hollenbach, Florian M & Jan Pierskalla. (2017). A re-assessment of reporting bias in event-based violence data with respect to cell phone coverage. Research & Politics. 4(3). 2 indexed citations
11.
Montgomery, Jacob, Florian M Hollenbach, & Michael D. Ward. (2015). Calibrating ensemble forecasting models with sparse data in the social sciences. International Journal of Forecasting. 31(3). 930–942. 11 indexed citations
12.
Hollenbach, Florian M, Iavor Bojinov, Shahryar Minhas, et al.. (2014). Principled Imputation Made Simple: Multiple Imputation Using Gaussian Copulas. arXiv (Cornell University). 1 indexed citations
13.
Marchi, Scott de, et al.. (2014). Cabinet Formation and Portfolio Distribution in European Multiparty Systems. British Journal of Political Science. 46(1). 31–43. 24 indexed citations
14.
Ward, Michael D., Nils W. Metternich, Cassy Dorff, et al.. (2013). Learning from the Past and Stepping into the Future: Toward a New Generation of Conflict Prediction. International Studies Review. 15(4). 473–490. 59 indexed citations
15.
Pierskalla, Jan & Florian M Hollenbach. (2013). Technology and Collective Action: The Effect of Cell Phone Coverage on Political Violence in Africa. American Political Science Review. 107(2). 207–224. 209 indexed citations
16.
Hollenbach, Florian M & Jan Pierskalla. (2012). Technology and Collective Action: The Effect of Cell Phone Coverage on Political Violence in Africa. SSRN Electronic Journal. 1 indexed citations
17.
Montgomery, Jacob, Florian M Hollenbach, & Michael D. Ward. (2012). Ensemble Predictions of the 2012 US Presidential Election. PS Political Science & Politics. 45(4). 651–654. 20 indexed citations
18.
Montgomery, Jacob, Florian M Hollenbach, & Michael D. Ward. (2012). Improving Predictions using Ensemble Bayesian Model Averaging. Political Analysis. 20(3). 271–291. 105 indexed citations
19.
Montgomery, Jacob, Michael D. Ward, & Florian M Hollenbach. (2011). Dynamic Conflict Forecasts: Improving Conflict Predictions Using Ensemble Bayesian Model Averaging. Annals of Translational Medicine. 9(12). 1–1. 1 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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