Roland C. Deutsch

488 total citations
9 papers, 364 citations indexed

About

Roland C. Deutsch is a scholar working on Statistics and Probability, Sociology and Political Science and Management Science and Operations Research. According to data from OpenAlex, Roland C. Deutsch has authored 9 papers receiving a total of 364 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Statistics and Probability, 3 papers in Sociology and Political Science and 2 papers in Management Science and Operations Research. Recurrent topics in Roland C. Deutsch's work include Statistical Methods and Bayesian Inference (2 papers), Sport and Mega-Event Impacts (2 papers) and Sports, Gender, and Society (2 papers). Roland C. Deutsch is often cited by papers focused on Statistical Methods and Bayesian Inference (2 papers), Sport and Mega-Event Impacts (2 papers) and Sports, Gender, and Society (2 papers). Roland C. Deutsch collaborates with scholars based in United States, Netherlands and Italy. Roland C. Deutsch's co-authors include Walter W. Piegorsch, Mathew C. Schmidtlein, Susan L. Cutter, Olav Rueppell, Peter Filzmoser, Gianna Serafina Monti, John M. Grego, Brian Habing and Don Edwards and has published in prestigious journals such as PLoS ONE, Biometrics and Risk Analysis.

In The Last Decade

Roland C. Deutsch

9 papers receiving 343 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Roland C. Deutsch United States	6	206	150	84	55	39	9	364
Joe Tuccillo United States	8	142 0.7×	150 1.0×	45 0.5×	53 1.0×	34 0.9×	13	347
Virginie Le Masson United Kingdom	12	230 1.1×	177 1.2×	60 0.7×	68 1.2×	31 0.8×	26	546
Abul Kalam Azad Bangladesh	9	194 0.9×	137 0.9×	47 0.6×	32 0.6×	39 1.0×	27	347
Luke Juran United States	11	233 1.1×	213 1.4×	58 0.7×	24 0.4×	41 1.1×	24	549
Raymond Abudu Kasei Ghana	12	83 0.4×	245 1.6×	66 0.8×	83 1.5×	36 0.9×	24	511
Greg Oulahen Canada	14	323 1.6×	285 1.9×	71 0.8×	20 0.4×	65 1.7×	21	475
Joanna M. McMillan Germany	8	169 0.8×	183 1.2×	85 1.0×	37 0.7×	35 0.9×	11	363
J. Pablo Ortiz‐Partida United States	13	110 0.5×	197 1.3×	27 0.3×	57 1.0×	31 0.8×	18	467
Rachel Clissold Australia	12	371 1.8×	120 0.8×	121 1.4×	49 0.9×	26 0.7×	32	501
Shouvik Das India	9	237 1.2×	145 1.0×	77 0.9×	28 0.5×	57 1.5×	10	405

Countries citing papers authored by Roland C. Deutsch

Since Specialization

Citations

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

Fields of papers citing papers by Roland C. Deutsch

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Roland C. Deutsch. 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 Roland C. Deutsch. The network helps show where Roland C. Deutsch may publish in the future.

Co-authorship network of co-authors of Roland C. Deutsch

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

All Works

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9 of 9 papers shown

1.

Monti, Gianna Serafina, Peter Filzmoser, & Roland C. Deutsch. (2018). A Robust Approach to Risk Assessment Based on Species Sensitivity Distributions. Risk Analysis. 38(10). 2073–2086. 11 indexed citations

2.

Deutsch, Roland C. & Walter W. Piegorsch. (2013). Benchmark dose profiles for joint‐action continuous data in quantitative risk assessment. Biometrical Journal. 55(5). 741–754. 5 indexed citations

3.

Deutsch, Roland C., et al.. (2012). Closed Sequential and Multistage Inference on Binary Responses With or Without Replacement. The American Statistician. 66(3). 163–172. 2 indexed citations

4.

Rueppell, Olav, et al.. (2012). Multiple Mating But Not Recombination Causes Quantitative Increase in Offspring Genetic Diversity for Varying Genetic Architectures. PLoS ONE. 7(10). e47220–e47220. 13 indexed citations

5.

Deutsch, Roland C. & Walter W. Piegorsch. (2012). Benchmark Dose Profiles for Joint‐Action Quantal Data in Quantitative Risk Assessment. Biometrics. 68(4). 1313–1322. 12 indexed citations

6.

Deutsch, Roland C.. (2011). Looking Back at South Africa: Analyzing and Reviewing the 2010 FIFA World Cup. CHANCE. 24(2). 15–23. 2 indexed citations

7.

Deutsch, Roland C.. (2011). Looking back at South Africa: Analyzing and reviewing the 2010 FIFA world cup. CHANCE. 24(2). 15–23. 1 indexed citations

8.

Deutsch, Roland C., John M. Grego, Brian Habing, & Walter W. Piegorsch. (2010). Maximum likelihood estimation with binary-data regression models: small-sample and large-sample features.. PubMed. 14(2). 101–116. 6 indexed citations

9.

Schmidtlein, Mathew C., Roland C. Deutsch, Walter W. Piegorsch, & Susan L. Cutter. (2008). A Sensitivity Analysis of the Social Vulnerability Index. Risk Analysis. 28(4). 1099–1114. 312 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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