Neil C. Schwertman
- Statistics and Probability top 2%
- Advanced Statistical Methods and Models 21
- Statistics Education and Methodologies 7
- Statistical Methods and Bayesian Inference 6
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- Advanced Statistical Process Monitoring 8
- Medical Laboratory Technology top 10%
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- Optimal Experimental Design Methods 6
- Economics and Econometrics top 5%
- Sports Analytics and Performance 8
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- Genetics and Plant Breeding 3
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- Spreadsheets and End-User Computing 3
- Co-authors
- Robiah AdnanThomas P. RyanEric LangfordLewis H. KullerTheodore A. KotchenJane Morley KotchenDavid M. AllenJan Cameron
- Cited by
- Statistics and ProbabilityStatistics, Probability and UncertaintyMedical Laboratory Technology
- Journals
- The American Statistician (13 papers)Journal of Statistical Computation and Simulation (7 papers)Computational Statistics & Data Analysis (4 papers)
- Partner nations
- United StatesAustraliaMalaysia
In The Last Decade
Neil C. Schwertman
53 papers receiving 845 citations
Peers
Comparison fields: 5 of 161
- Statistics and Probability 262
- Statistics, Probability and Uncertainty 168
- Medical Laboratory Technology 17
- Management Science and Operations Research 96
- Economics and Econometrics 166
Countries citing papers authored by Neil C. Schwertman
This map shows the geographic impact of Neil C. Schwertman'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 Neil C. Schwertman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Neil C. Schwertman more than expected).
Fields of papers citing papers by Neil C. Schwertman
This network shows the impact of papers produced by Neil C. Schwertman. 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 Neil C. Schwertman. The network helps show where Neil C. Schwertman may publish in the future.
Co-authorship network
The 14 scholars most cited alongside Neil C. Schwertman, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 1 | |
| 2 | 2006 | 64 | |
| 3 | 2001 | 76 | |
| 4 | 1999 | 1 | |
| 5 | 1999 | 24 | |
| 6 | 1995 | 1 | |
| 7 | 1995 | 4 | |
| 8 | 1994 | 11 | |
| 9 | 1994 | 13 | |
| 10 | 1993 | 1 | |
| 11 | 1992 | 1 | |
| 12 | 1991 | 54 | |
| 13 | 1990 | 31 | |
| 14 | 1989 | 3 | |
| 15 | 1987 | 6 | |
| 16 | 1986 | 2 | |
| 17 | 1986 | 8 | |
| 18 | 1982 | 4 | |
| 19 | 1980 | 6 | |
| 20 | 1974 | 65 |
About Neil C. Schwertman
Neil C. Schwertman is a scholar working on Statistics and Probability, Statistics, Probability and Uncertainty, Theoretical Computer Science, Software and Management Science and Operations Research, having authored 54 papers that have together received 935 indexed citations. Recurring topics across this work include Advanced Statistical Methods and Models (21 papers), Advanced Statistical Process Monitoring (8 papers), Sports Analytics and Performance (8 papers), Statistics Education and Methodologies (7 papers), Statistical Methods and Bayesian Inference (6 papers), Optimal Experimental Design Methods (6 papers), Genetics and Plant Breeding (3 papers) and Spreadsheets and End-User Computing (3 papers). The work is most often cited by research in Statistics and Probability (262 citations), Statistics, Probability and Uncertainty (168 citations), Medical Laboratory Technology (17 citations), Management Science and Operations Research (96 citations) and Economics and Econometrics (166 citations). Neil C. Schwertman has collaborated with scholars based in United States, Australia and Malaysia. Frequent co-authors include Robiah Adnan, Thomas P. Ryan, Eric Langford, Lewis H. Kuller, Theodore A. Kotchen, Jane Morley Kotchen, David M. Allen, Jan Cameron, Lance K. Heilbrun and William F. Flynn. Their work appears in journals such as The American Statistician, Journal of Statistical Computation and Simulation, Computational Statistics & Data Analysis, Journal of the American Statistical Association and Quality and Reliability Engineering International.
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.