Gerald J. Glasser

846 citations
26 papers · 606 indexed · h-index 13
Topics
Advanced Statistical Methods and Models (5 papers)Statistical Distribution Estimation and Applications (3 papers)Statistical Methods and Inference (3 papers)
Partner nations
United States

In The Last Decade

Gerald J. Glasser

25 papers receiving 511 citations

Peers

Gerald J. Glasser
Comparison fields: 5 of 125
  • Statistics and Probability 176
  • Safety, Risk, Reliability and Quality 118
  • Sociology and Political Science 108
  • Economics and Econometrics 72
  • Software 50
Replace Kong Chu with:
Kong Chu United States
L. I. Pettit United Kingdom
Bruce L. Warwick United States
Benny Levikson Israel
George C. Canavos United States
Yoel Haitovsky Israel
H. S. Sichel South Africa
Richard M. Brugger United States
Balgobin Nandram United States
Carl-Axel S. Staël von Holstein Sweden
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Citations per field
00.5×8.4×
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Citations per year

Countries citing papers authored by Gerald J. Glasser

Since Specialization
Citations

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

Fields of papers citing papers by Gerald J. Glasser

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Gerald J. Glasser. 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 Gerald J. Glasser. The network helps show where Gerald J. Glasser may publish in the future.

Co-authorship network of co-authors of Gerald J. Glasser

This figure shows the co-authorship network connecting the top 25 collaborators of Gerald J. Glasser. A scholar is included among the top collaborators of Gerald J. Glasser 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 Gerald J. Glasser. Gerald J. Glasser 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 25
2 11
3 0
4 63
5 28
6 34
7 76
8 25
9 18
10 1
11 9
12 1
13 118
14 2
15 4
16 75
17 16
18 22
19
Statistics for business decisions
10
20 4

About Gerald J. Glasser

Gerald J. Glasser is a scholar working on Statistics and Probability, Management Science and Operations Research and Statistics, Probability and Uncertainty, having authored 26 papers that have together received 606 indexed citations. Recurring topics across this work include Advanced Statistical Methods and Models (5 papers), Statistical Distribution Estimation and Applications (3 papers) and Statistical Methods and Inference (3 papers). The work is most often cited by research in Statistics and Probability (176 citations), Software (50 citations) and Safety, Risk, Reliability and Quality (118 citations). Gerald J. Glasser has collaborated with scholars based in United States. Frequent co-authors include W. Edwards Deming and Michael O. Finkelstein. Their work appears in journals such as Journal of the American Statistical Association, Technometrics and Management Science.

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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