Robert Hultquist

27 total papers · 421 total citations
10 papers, 283 citations indexed

About

Robert Hultquist is a scholar working on Statistics and Probability, Management Science and Operations Research and Statistics, Probability and Uncertainty. According to data from OpenAlex, Robert Hultquist has authored 10 papers receiving a total of 283 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Statistics and Probability, 3 papers in Management Science and Operations Research and 3 papers in Statistics, Probability and Uncertainty. Recurrent topics in Robert Hultquist's work include Optimal Experimental Design Methods (3 papers), Advanced Statistical Methods and Models (2 papers) and Machine Learning and Algorithms (2 papers). Robert Hultquist is often cited by papers focused on Optimal Experimental Design Methods (3 papers), Advanced Statistical Methods and Models (2 papers) and Machine Learning and Algorithms (2 papers). Robert Hultquist collaborates with scholars based in United States. Robert Hultquist's co-authors include James D. Thomas, Franklin A. Graybill, G. Arthur Mihram, David White, Garrett K. Mandeville, Edmund Seto, Robert E. Mandrell, Adam W. Olivieri, James Crook and Michael Cahn and has published in prestigious journals such as Journal of the American Statistical Association, The Annals of Statistics and Journal of Environmental Engineering.

In The Last Decade

Robert Hultquist

10 papers receiving 229 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Robert Hultquist 154 77 44 27 21 10 283
Louis Ferré 155 1.0× 32 0.4× 21 0.5× 62 2.3× 8 0.4× 16 318
J. T. Kent 105 0.7× 31 0.4× 52 1.2× 29 1.1× 5 0.2× 6 275
Hermann Witting 156 1.0× 43 0.6× 27 0.6× 55 2.0× 2 0.1× 16 307
M. W. J. Layard 186 1.2× 57 0.7× 33 0.8× 21 0.8× 2 0.1× 10 283
V. S. Huzurbazar 171 1.1× 70 0.9× 36 0.8× 76 2.8× 3 0.1× 9 289
Sílvio Sandoval Zocchi 100 0.6× 45 0.6× 22 0.5× 49 1.8× 3 0.1× 22 283
Richard B. Howe 122 0.8× 58 0.8× 66 1.5× 19 0.7× 3 0.1× 17 327
Eric Langford 75 0.5× 27 0.4× 23 0.5× 33 1.2× 4 0.2× 19 297
Philippe Barbe 183 1.2× 49 0.6× 25 0.6× 62 2.3× 4 0.2× 12 303
Jakob Stöber 112 0.7× 31 0.4× 30 0.7× 52 1.9× 8 0.4× 11 298

Countries citing papers authored by Robert Hultquist

Since Specialization
Citations

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

Fields of papers citing papers by Robert Hultquist

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Robert Hultquist

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

All Works

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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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