Paul H. Kvam

2.2k citations
70 papers · 1.6k indexed · h-index 20

Paul H. Kvam

68 papers receiving 1.5k citations

Peers

Paul H. Kvam
Comparison fields: 5 of 144
  • Statistics and Probability 732
  • Statistics, Probability and Uncertainty 526
  • Safety, Risk, Reliability and Quality 574
  • Software 173
  • Management Science and Operations Research 104
Replace Helge Langseth with:
Helge Langseth Norway
Sukhdev Singh India
Athanasios A. Pantelous United Kingdom
Frank A. Haight United States
Mark J. Wierman United States
Peican Zhu China
George A. Hazelrigg United States
Cliff Joslyn United States
Chris Drummond Canada
Marco Zaffalon Switzerland
Paul H. Kvam relative to Helge Langseth Norway Helge Langseth's profile →
Citations per field
00.5×9.6×
Helge Langseth · 1×
Citations per year

Countries citing papers authored by Paul H. Kvam

Since Specialization
Citations

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

Fields of papers citing papers by Paul H. Kvam

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Paul H. Kvam. 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 Paul H. Kvam. The network helps show where Paul H. Kvam may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 202216
2 20191
3 20139
4 200818
5 2007125
6
Nonparametric Statistics with Applications to Science and Engineering (Wiley Series in Probability and Statistics)
200731
7 200662
8 200634
9 200664
10 200465
11 200319
12 200218
13 19991
14
The Relationship Between Active Learning and Long-Term Retention in an Introductory Statistics Course
19993
15 199911
16 19973
17 199611
18 19963
19 19937
20 19937

About Paul H. Kvam

Paul H. Kvam is a scholar working on Statistics and Probability, Statistics, Probability and Uncertainty and Safety, Risk, Reliability and Quality, having authored 70 papers that have together received 1.6k indexed citations. Recurring topics across this work include Statistical Distribution Estimation and Applications (30 papers), Reliability and Maintenance Optimization (21 papers), Probabilistic and Robust Engineering Design (19 papers), Advanced Statistical Process Monitoring (11 papers), Statistical Methods and Bayesian Inference (10 papers), Advanced Statistical Methods and Models (10 papers), Risk and Safety Analysis (7 papers) and Statistical Methods and Inference (5 papers). The work is most often cited by research in Statistics and Probability (732 citations), Statistics, Probability and Uncertainty (526 citations) and Safety, Risk, Reliability and Quality (574 citations). Paul H. Kvam has collaborated with scholars based in United States, South Korea and India. Frequent co-authors include Suk Joo Bae, Francisco J. Samaniego, Brani Vidaković, Edsel A. Peña, Way Kuo, Joel Sokol, Jye‐Chyi Lu, Jing Feng, Harry F. Martz and Harshinder Singh.

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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