Daniel A. Relles

1.3k citations
44 papers · 996 indexed · h-index 16

Daniel A. Relles

38 papers receiving 846 citations

Peers

Daniel A. Relles
Comparison fields: 5 of 132
  • Statistics and Probability 133
  • Economics and Econometrics 287
  • Gender Studies 90
  • General Health Professions 220
  • Statistics, Probability and Uncertainty 59
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Countries citing papers authored by Daniel A. Relles

Since Specialization
Citations

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

Fields of papers citing papers by Daniel A. Relles

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Daniel A. Relles, 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 A. Relles Line = papers co-authored together Daniel A. Relles links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1
Measuring function for Medicare inpatient rehabilitation payment.
200326
2
Right Price, Fair Credit: Criteria to Improve Financial Incentives for Army Logistics Decisions
20022
3 20003
4 199839
5 1997256
6
Estimating Eye Care Provider Supply and Workforce Requirements
19959
7 199526
8
Building Organizational Decision Support Systems
199234
9 19917
10
Has DRG Creep Crept Up?: Decomposing the Case Mix Index Change Between 1987 and 1988
19919
11 1990116
12 1990166
13 19821
14 197734
15
An empirical study of the differences between family and individual deductibles in health insurance.
19772
16 19775
17 197663
18
Seattle's Adaptation to Recession
19731
19 19705
20
ROBUST REGRESSION BY MODIFIED LEAST-SQUARES.
196929

About Daniel A. Relles

Daniel A. Relles is a scholar working on Statistics and Probability, Economics and Econometrics, Health Information Management, Management Science and Operations Research and Statistics, Probability and Uncertainty, having authored 44 papers that have together received 996 indexed citations. Recurring topics across this work include Healthcare Policy and Management (10 papers), Statistical Methods and Inference (5 papers), Advanced Statistical Methods and Models (5 papers), Bayesian Methods and Mixture Models (3 papers), Patient Satisfaction in Healthcare (3 papers), Operations Management Techniques (3 papers), Urban, Neighborhood, and Segregation Studies (3 papers) and Global Health Care Issues (2 papers). The work is most often cited by research in Statistics and Probability (133 citations), Economics and Econometrics (287 citations), Gender Studies (90 citations), General Health Professions (220 citations) and Statistics, Probability and Uncertainty (59 citations). Daniel A. Relles has collaborated with scholars based in United States and Japan. Frequent co-authors include Ross M. Stolzenberg, Grace M. Carter, Joseph P. Newhouse, Catherine A. Jackson, Paul P. Lee, W.R. Burrus, William H. Rogers, Stephen J. Carroll, Greg Ridgeway and James K. Hammitt. Their work appears in journals such as Journal of the American Statistical Association, Technometrics, The Journal of Legal Studies, Health Services and Outcomes Research Methodology and Infection and Immunity.

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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