John S. Ramberg

3.0k total citations
47 papers, 1.7k citations indexed

About

John S. Ramberg is a scholar working on Statistics and Probability, Management Science and Operations Research and Artificial Intelligence. According to data from OpenAlex, John S. Ramberg has authored 47 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Statistics and Probability, 9 papers in Management Science and Operations Research and 7 papers in Artificial Intelligence. Recurrent topics in John S. Ramberg's work include Advanced Statistical Methods and Models (16 papers), Statistical Distribution Estimation and Applications (8 papers) and Bayesian Methods and Mixture Models (7 papers). John S. Ramberg is often cited by papers focused on Advanced Statistical Methods and Models (16 papers), Statistical Distribution Estimation and Applications (8 papers) and Bayesian Methods and Mixture Models (7 papers). John S. Ramberg collaborates with scholars based in United States, Canada and Japan. John S. Ramberg's co-authors include Bruce W. Schmeiser, Edward J. Dudewicz, Edward F. Mykytka, Pandu R. Tadikamalla, Joseph J. Pignatiello, Ronald H. Randles, Robert V. Hogg, James D. Broffitt, Susan M. Sanchez and Stefan Steiner and has published in prestigious journals such as Journal of the American Statistical Association, Technometrics and Journal of The Electrochemical Society.

In The Last Decade

John S. Ramberg

45 papers receiving 1.5k citations

Peers

John S. Ramberg
Comparison fields: 5 of 114
  • Statistics and Probability 848
  • Statistics, Probability and Uncertainty 546
  • Management Science and Operations Research 493
  • Artificial Intelligence 227
  • Finance 203
Shunji Osaki Japan
James J. Swain United States
Kai Yao China
Xiaowei Chen China
Xiangfeng Yang China
Jinwu Gao China
Erwin Straub Switzerland
Samaradasa Weerahandi United States
William S. Jewell United States
Jeremy Staum United States
Shunji Osaki Japan View profile →
Citations per field, relative to John S. Ramberg
John S. Ramberg · 1×
Citations per year, relative to John S. Ramberg
John S. Ramberg · 1×

Countries citing papers authored by John S. Ramberg

Since Specialization
Citations

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

Fields of papers citing papers by John S. Ramberg

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by John S. Ramberg. 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 John S. Ramberg. The network helps show where John S. Ramberg may publish in the future.

Co-authorship network of co-authors of John S. Ramberg

This figure shows the co-authorship network connecting the top 25 collaborators of John S. Ramberg. A scholar is included among the top collaborators of John S. Ramberg 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 John S. Ramberg. John S. Ramberg 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
# Work Indexed citations
1 1
2 1
3 15
4 6
5 39
6 87
7
Discussion: Off-Line Quality Control, Parameter Design, and the Taguchi Method
61
8 57
9 10
10 6
11 7
12 2
13 15
14 96
15 11
16 10
17 5
18 279
19 15
20 1

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026