Robert K. Tsutakawa

49 papers receiving 2.6k citations

Hit Papers

Analysis of Ordinal Categorical Data.198520261998201219854008001.2k

Peers

Robert K. Tsutakawa
Comparison fields: 5 of 204
  • Statistics and Probability 1.1k
  • Management Science and Operations Research 577
  • Economics and Econometrics 390
  • Artificial Intelligence 319
  • Computer Networks and Communications 190
Replace M. J. R. Healy with:
M. J. R. Healy United Kingdom
Hamparsum Bozdogan United States
James E. Grizzle United States
Ronald Christensen United States
Lincoln E. Moses United States
Nitin R. Patel United States
Cyrus R. Mehta United States
John J. Gart United States
P. A. Lachenbruch United States
T. M. F. Smith United Kingdom
Robert K. Tsutakawa relative to M. J. R. Healy United Kingdom M. J. R. Healy's profile →
Citations per field
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M. J. R. Healy · 1×
Citations per year

Countries citing papers authored by Robert K. Tsutakawa

Since Specialization
Citations

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

Fields of papers citing papers by Robert K. Tsutakawa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Robert K. Tsutakawa

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

All Works

20 of 20 papers shown
#WorkIndexed citations
1 44
2 89
3 3
4 5
5 2
6
The relationship between neonatal mortality and hospital level.
28
7 19
8 18
9 10
10 37
11 4
12 299
13 1
14 2
15 6
16 3
17 54
18 11
19 60
20 4

About Robert K. Tsutakawa

Robert K. Tsutakawa is a scholar working on Statistics and Probability, Management Science and Operations Research and Demography, having authored 51 papers that have together received 2.9k indexed citations. Recurring topics across this work include Statistical Methods and Bayesian Inference (13 papers), Psychometric Methodologies and Testing (9 papers) and Statistical Methods in Clinical Trials (9 papers). The work is most often cited by research in Statistics and Probability (1.1k citations), Management Science and Operations Research (577 citations) and Statistics, Probability and Uncertainty (154 citations). Robert K. Tsutakawa has collaborated with scholars based in United States and Singapore. Frequent co-authors include Alan Agresti, A. P. Dempster, Dongchu Sun, Jane C. Johnson, Hoon Kim, Zhuoqiong He, Steven E. Rigdon, David J. Hentges, Margaret A. Flynn and Michael Soltys. Their work appears in journals such as Journal of the American Statistical Association, American Journal of Clinical Nutrition and American Journal of Epidemiology.

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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