Daniel Wilhelm

515 total citations
20 papers, 164 citations indexed

About

Daniel Wilhelm is a scholar working on Statistics and Probability, Sociology and Political Science and Economics and Econometrics. According to data from OpenAlex, Daniel Wilhelm has authored 20 papers receiving a total of 164 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Statistics and Probability, 5 papers in Sociology and Political Science and 5 papers in Economics and Econometrics. Recurrent topics in Daniel Wilhelm's work include Statistical Methods and Inference (7 papers), Statistical Methods and Bayesian Inference (4 papers) and Intergenerational and Educational Inequality Studies (3 papers). Daniel Wilhelm is often cited by papers focused on Statistical Methods and Inference (7 papers), Statistical Methods and Bayesian Inference (4 papers) and Intergenerational and Educational Inequality Studies (3 papers). Daniel Wilhelm collaborates with scholars based in United Kingdom, United States and Germany. Daniel Wilhelm's co-authors include Jehoshua Bruck, Susanne M. Schennach, Denis Chetverikov, Lulu Qian, Azeem M. Shaikh, Magne Mogstad, Joseph P. Romano, Peter Jax, Valentina Corradi and Federico M. Bandi and has published in prestigious journals such as Proceedings of the National Academy of Sciences, SHILAP Revista de lepidopterología and Journal of the American Statistical Association.

In The Last Decade

Daniel Wilhelm

17 papers receiving 162 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Daniel Wilhelm United Kingdom 7 40 40 35 19 17 20 164
Silvia Bartolucci United Kingdom 9 7 0.2× 67 1.7× 9 0.3× 13 0.7× 22 1.3× 30 279
Ines Wilms Netherlands 9 7 0.2× 150 3.8× 38 1.1× 17 0.9× 7 0.4× 27 270
Tiandong Wang United States 8 12 0.3× 22 0.6× 23 0.7× 18 0.9× 13 0.8× 26 236
Zhentao Shi Hong Kong 7 3 0.1× 198 5.0× 75 2.1× 12 0.6× 11 0.6× 28 310
Leonardo Ramos Brazil 5 3 0.1× 13 0.3× 15 0.4× 6 0.3× 21 1.2× 25 117
Laurent Bergé France 6 11 0.3× 48 1.2× 12 0.3× 1 0.1× 15 0.9× 11 158
Zvonko Kostanjčar Croatia 9 4 0.1× 145 3.6× 5 0.1× 9 0.5× 7 0.4× 34 264
Timothy Christensen United States 7 3 0.1× 112 2.8× 99 2.8× 27 1.4× 3 0.2× 17 260
Jorge Belaire‐Franch Spain 9 5 0.1× 230 5.8× 14 0.4× 3 0.2× 8 0.5× 27 315
Hisayuki Hara Japan 7 5 0.1× 8 0.2× 44 1.3× 3 0.2× 18 1.1× 21 204

Countries citing papers authored by Daniel Wilhelm

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Wilhelm

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniel Wilhelm

This figure shows the co-authorship network connecting the top 25 collaborators of Daniel Wilhelm. A scholar is included among the top collaborators of Daniel Wilhelm 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 Daniel Wilhelm. Daniel Wilhelm 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.
Kim, Dongwoo & Daniel Wilhelm. (2024). Powerful t-tests in the presence of nonclassical measurement error. Econometric Reviews. 43(6). 345–378.
2.
Mogstad, Magne, Joseph P. Romano, Azeem M. Shaikh, & Daniel Wilhelm. (2023). Inference for Ranks with Applications to Mobility across Neighbourhoods and Academic Achievement across Countries. The Review of Economic Studies. 91(1). 476–518. 10 indexed citations
3.
Mogstad, Magne, Joseph P. Romano, Azeem M. Shaikh, & Daniel Wilhelm. (2022). Statistical Uncertainty in the Ranking of Journals and Universities. AEA Papers and Proceedings. 112. 630–634. 4 indexed citations
4.
Mogstad, Magne, Joseph P. Romano, Azeem M. Shaikh, & Daniel Wilhelm. (2021). Confidence Sets for Ranks with Applications to Intergenerational Mobility and Neighborhoods. UCL Discovery (University College London). 1 indexed citations
5.
Wilhelm, Daniel, et al.. (2021). Recurrent Phase Reconstruction Using Estimated Phase Derivatives from Deep Neural Networks. 7088–7092. 10 indexed citations
6.
Mogstad, Magne, Joseph P. Romano, Azeem M. Shaikh, & Daniel Wilhelm. (2020). Inference for Ranks with Applications to Mobility Across Neighborhoods and Academic Achievement Across Countries. SSRN Electronic Journal. 6 indexed citations
7.
Mogstad, Magne, Joseph P. Romano, Azeem M. Shaikh, & Daniel Wilhelm. (2020). Inference for Ranks with Applications to Mobility Across Neighborhoods and Academic Achievement Across Countries. SSRN Electronic Journal. 3 indexed citations
8.
Wilhelm, Daniel, et al.. (2020). Testing for the presence of measurement error in Stata. The Stata Journal Promoting communications on statistics and Stata. 20(2). 382–404. 4 indexed citations
9.
Carneiro, Pedro, Sokbae Lee, & Daniel Wilhelm. (2019). Optimal data collection for randomized control trials. Econometrics Journal. 23(1). 1–31. 1 indexed citations
10.
Chetverikov, Denis, Dongwoo Kim, & Daniel Wilhelm. (2018). Nonparametric Instrumental-Variable Estimation. The Stata Journal Promoting communications on statistics and Stata. 18(4). 937–950. 5 indexed citations
11.
Wilhelm, Daniel, Jehoshua Bruck, & Lulu Qian. (2018). Probabilistic switching circuits in DNA. Proceedings of the National Academy of Sciences. 115(5). 903–908. 34 indexed citations
12.
Chetverikov, Denis & Daniel Wilhelm. (2017). Nonparametric Instrumental Variable Estimation Under Monotonicity. Econometrica. 85(4). 1303–1320. 18 indexed citations
13.
Schennach, Susanne M. & Daniel Wilhelm. (2016). A Simple Parametric Model Selection Test. Journal of the American Statistical Association. 112(520). 1663–1674. 27 indexed citations
14.
Wilhelm, Daniel. (2014). OPTIMAL BANDWIDTH SELECTION FOR ROBUST GENERALIZED METHOD OF MOMENTS ESTIMATION. Econometric Theory. 31(5). 1054–1077. 10 indexed citations
15.
Wilhelm, Daniel, et al.. (2014). Helicopter Parents - Begriffsbestimmung, Entwicklung und Validierung eines Fragebogens. SHILAP Revista de lepidopterología. 9(1). 2 indexed citations
16.
Wilhelm, Daniel. (2012). Nutzerakzeptanz von webbasierten Anwendungen. Gabler Verlag eBooks. 2 indexed citations
17.
Wilhelm, Daniel, Susanne Strahringer, & Stefan Smolnik. (2012). Die Nutzungsintention als Prädiktor der realen Systemnutzung: eine quantitative Analyse. LeoPARD - TU Braunschweig Publications And Research Data. 1 indexed citations
18.
Bandi, Federico M., Valentina Corradi, & Daniel Wilhelm. (2011). Data-Driven Bandwidth Selection for Nonparametric Nonstationary Regressions. SSRN Electronic Journal. 5 indexed citations
19.
Wilhelm, Daniel & Jehoshua Bruck. (2008). Stochastic switching circuit synthesis. 21. 1388–1392. 21 indexed citations
20.
Wilhelm, Daniel, et al.. (2005). A critical analysis of US real estate appraisal methods when used for financial reporting according to the International Financial Reporting Standards (IFRS).

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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