Monnie McGee
Impact in
- Dermatology top 5%
- Dermatology and Skin Diseases
- Obstetrics and Gynecology top 10%
- Uterine Myomas and Treatments
Papers in
-
- Gene expression and cancer classification 8
- Genomics and Phylogenetic Studies 5
- Fractal and DNA sequence analysis 5
- Machine Learning in Bioinformatics 4
-
- Advanced Statistical Methods and Models 3
- Statistics Education and Methodologies 3
- Co-authors
- Robert A. Yaffee (2 shared papers)Zhongxue Chen (8 shared papers)Richard H. Scheuermann (6 shared papers)Nora V. Bergasa (3 shared papers)Qingzhong Liu (4 shared papers)Iona H. Ginsburg (1 shared paper)Danielle E. Engler (1 shared paper)E. Scott Sills (2 shared papers)
- Journals
- Journal of Computational Biology (2 papers)PLoS ONE (2 papers)BMC Genomics (2 papers)Bioinformatics (2 papers)The American Statistician (2 papers)
- Partner nations
- United StatesSwitzerlandBelgium
In The Last Decade
Monnie McGee
34 papers receiving 809 citations
Peers
Comparison fields: 5 of 158
- Dermatology 71
- Obstetrics and Gynecology 35
- Management Science and Operations Research 53
- Immunology and Allergy 22
- Hepatology 27
Countries citing papers authored by Monnie McGee
This map shows the geographic impact of Monnie McGee'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 Monnie McGee with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Monnie McGee more than expected).
Fields of papers citing papers by Monnie McGee
This network shows the impact of papers produced by Monnie McGee. 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 Monnie McGee. The network helps show where Monnie McGee may publish in the future.
Co-authors
The 25 scholars most cited alongside Monnie McGee, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 39 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Introduction to Time Series Analysis and Forecasting: With Applications of SAS and SPSS | 2000 | 301 |
| 2 | 2006 | 72 | |
| 3 | 2006 | 67 | |
| 4 | 1998 | 66 | |
| 5 | 2005 | 57 | |
| 6 | 2001 | 42 | |
| 7 | 2012 | 31 | |
| 8 | 1998 | 29 | |
| 9 | 2018 | 24 | |
| 10 | 2006 | 23 | |
| 11 | 2007 | 21 | |
| 12 | 1998 | 19 | |
| 13 | 2015 | 15 | |
| 14 | 2016 | 13 | |
| 15 | 2009 | 12 | |
| 16 | New Spiked-In Probe Sets for the Affymetrix HGU-133A Latin Square Experiment | 2006 | 10 |
| 17 | 2011 | 8 | |
| 18 | 2010 | 7 | |
| 19 | 2022 | 5 | |
| 20 | AWS EC2 Instance Spot Price Forecasting Using LSTM Networks | 2019 | 5 |
About Monnie McGee
Monnie McGee is a scholar working on Molecular Biology, Statistics and Probability, Economics and Econometrics, Signal Processing and Artificial Intelligence, having authored 39 papers that have together received 857 indexed citations. Recurring topics across this work include Gene expression and cancer classification (8 papers), Genomics and Phylogenetic Studies (5 papers), Fractal and DNA sequence analysis (5 papers), Machine Learning in Bioinformatics (4 papers), Advanced Statistical Methods and Models (3 papers), Time Series Analysis and Forecasting (3 papers), Statistics Education and Methodologies (3 papers) and Sports Analytics and Performance (2 papers). The work is most often cited by research in Dermatology (71 citations), Obstetrics and Gynecology (35 citations), Management Science and Operations Research (53 citations), Immunology and Allergy (22 citations) and Hepatology (27 citations). Monnie McGee has collaborated with scholars based in United States, Switzerland and Belgium. Frequent co-authors include Robert A. Yaffee, Zhongxue Chen, Richard H. Scheuermann, Nora V. Bergasa, Qingzhong Liu, Iona H. Ginsburg, Danielle E. Engler, E. Scott Sills, Paul Samuel and Thomas Heinemann. Their work appears in journals such as Journal of Computational Biology, PLoS ONE, BMC Genomics, Bioinformatics and The American Statistician.
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.