Daniel Wilhelm

515 citations
20 papers · 164 indexed · h-index 7

Daniel Wilhelm

17 papers receiving 162 citations

Peers

Daniel Wilhelm
Comparison fields: 5 of 60
  • Statistics and Probability 35
  • General Decision Sciences 4
  • General Economics, Econometrics and Finance 15
  • Economics and Econometrics 40
  • Management Science and Operations Research 16
Replace Ines Wilms with:
Ines Wilms Netherlands
Silvia Bartolucci United Kingdom
Zhentao Shi Hong Kong
Rui Meng United States
Vincenzo Tola Italy
Timothy Christensen United States
Leonardo Ramos Brazil
Victoriano Ramı́rez González Spain
Sébastien Lleo France
Laurent Bergé France
Daniel Wilhelm relative to Ines Wilms Netherlands Ines Wilms's profile →
Citations per field
00.5×1.5×
Ines Wilms · 1×
Citations per year

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

The 16 scholars most cited alongside Daniel Wilhelm, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Daniel Wilhelm Line = papers co-authored together Daniel Wilhelm links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20240
2 202310
3 20224
4
Confidence Sets for Ranks with Applications to Intergenerational Mobility and Neighborhoods
20211
5 202110
6 20206
7 20204
8 20203
9 20191
10 201834
11 20185
12 201718
13 201627
14 201410
15 20142
16 20122
17 20121
18 20115
19 200821
20
A critical analysis of US real estate appraisal methods when used for financial reporting according to the International Financial Reporting Standards (IFRS)
20050

About Daniel Wilhelm

Daniel Wilhelm is a scholar working on Statistics and Probability, Management of Technology and Innovation and Management Science and Operations Research, having authored 20 papers that have together received 164 indexed citations. Recurring topics across this work include Statistical Methods and Inference (7 papers), Statistical Methods and Bayesian Inference (4 papers), Intergenerational and Educational Inequality Studies (3 papers), Urban, Neighborhood, and Segregation Studies (3 papers), DNA and Biological Computing (2 papers), Advanced Causal Inference Techniques (2 papers), Statistical and numerical algorithms (1 paper) and Social and Demographic Issues in Germany (1 paper). The work is most often cited by research in Statistics and Probability (35 citations), General Decision Sciences (4 citations) and General Economics, Econometrics and Finance (15 citations). Daniel Wilhelm has collaborated with scholars based in United Kingdom, United States and Germany. Frequent co-authors include Jehoshua Bruck, Susanne M. Schennach, Denis Chetverikov, Lulu Qian, Azeem M. Shaikh, Magne Mogstad, Joseph P. Romano, Peter Jax, Dongwoo Kim and Valentina Corradi. Their work appears in journals such as The Stata Journal Promoting communications on statistics and Stata, Proceedings of the National Academy of Sciences, Econometrica, Journal of the American Statistical Association and Econometric Reviews.

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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