Daniel Voss

25 papers and 1.1k indexed citations i.

About

Daniel Voss is a scholar working on Management Science and Operations Research, Statistics and Probability and Computational Theory and Mathematics. According to data from OpenAlex, Daniel Voss has authored 25 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Management Science and Operations Research, 10 papers in Statistics and Probability and 6 papers in Computational Theory and Mathematics. Recurrent topics in Daniel Voss’s work include Optimal Experimental Design Methods (14 papers), Statistical Methods in Clinical Trials (9 papers) and Advanced Multi-Objective Optimization Algorithms (5 papers). Daniel Voss is often cited by papers focused on Optimal Experimental Design Methods (14 papers), Statistical Methods in Clinical Trials (9 papers) and Advanced Multi-Objective Optimization Algorithms (5 papers). Daniel Voss collaborates with scholars based in United States and Germany. Daniel Voss's co-authors include Angela Dean, Brett G. Amidan, John Stufken, Weizhen Wang, Pamela S. Tsang, Steffen Leonhardt, Chuong Ngo, Lin Liu and Jason C. Hsu and has published in prestigious journals such as Journal of the American Statistical Association, Technometrics and The Annals of Statistics.

In The Last Decade

Co-authorship network of co-authors of Daniel Voss i

Fields of papers citing papers by Daniel Voss

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Daniel Voss

Since Specialization
Citations

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

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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2025