Paul I. Nelson
- Astronomy and Astrophysics top 2%
- Statistics and Probability top 0.5%
- Finance top 2%
- Nuclear and High Energy Physics top 10%
- Instrumentation top 5%
- Co-authors
- Eric D. FeigelsonLawrence A. KlimkoTakashi IsobeChristopher C. HeydeKenneth S. KaminskyJeremy D. FinnShie‐Shien YangG. Jogesh Babu
- Topics
- Advanced Statistical Methods and Models (11 papers)Statistical Distribution Estimation and Applications (10 papers)Statistical Methods and Inference (9 papers)
- Partner nations
- United StatesSwedenAustralia
In The Last Decade
Paul I. Nelson
34 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 114
- Astronomy and Astrophysics 819
- Statistics and Probability 483
- Finance 275
- Nuclear and High Energy Physics 245
- Instrumentation 146
Countries citing papers authored by Paul I. Nelson
This map shows the geographic impact of Paul I. Nelson'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 I. Nelson with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Paul I. Nelson more than expected).
Fields of papers citing papers by Paul I. Nelson
This network shows the impact of papers produced by Paul I. Nelson. 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 I. Nelson. The network helps show where Paul I. Nelson may publish in the future.
Co-authorship network of co-authors of Paul I. Nelson
This figure shows the co-authorship network connecting the top 25 collaborators of Paul I. Nelson. A scholar is included among the top collaborators of Paul I. Nelson 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 Paul I. Nelson. Paul I. Nelson is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | CVAUROC: Stata module to compute Cross-validated Area Under the Curve for ROC Analysis after Predictive Modelling for Binary Outcomes | 2 |
| 2 | 1 | |
| 3 | Development of a Rapid Test to Determine Moisture Sensitivity of Hot Mix Asphalt (SuperPave) Mixtures - Extended Study | 2 |
| 4 | 1 | |
| 5 | 3 | |
| 6 | 1 | |
| 7 | 8 | |
| 8 | PROJECT COST EVALUATION METHODOLOGY APPROACH TO PRIVATIZATION IN THE WASHINGTON STATE DEPARTMENT OF TRANSPORTATION | 1 |
| 9 | 5 | |
| 10 | 13 | |
| 11 | 50 | |
| 12 | 431 | |
| 13 | 14 | |
| 14 | 7 | |
| 15 | 17 | |
| 16 | 319 | |
| 17 | 18 | |
| 18 | 14 | |
| 19 | 6 | |
| 20 | 9 |
About Paul I. Nelson
Paul I. Nelson is a scholar working on Statistics and Probability, Management Science and Operations Research and Software, having authored 38 papers that have together received 1.6k indexed citations. Recurring topics across this work include Advanced Statistical Methods and Models (11 papers), Statistical Distribution Estimation and Applications (10 papers) and Statistical Methods and Inference (9 papers). The work is most often cited by research in Statistics and Probability (483 citations), Astronomy and Astrophysics (819 citations) and Instrumentation (146 citations). Paul I. Nelson has collaborated with scholars based in United States, Sweden and Australia. Frequent co-authors include Eric D. Feigelson, Lawrence A. Klimko, Takashi Isobe, Christopher C. Heyde, Kenneth S. Kaminsky, Jeremy D. Finn, Shie‐Shien Yang, G. Jogesh Babu, Kenneth E. Kemp and Nancy R. Mann. Their work appears in journals such as Journal of the American Statistical Association, The Astrophysical Journal and Technometrics.
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.