Edward H. Ip
Impact in
Papers in
-
- Statistical Methods and Bayesian Inference 22
- Co-authors
- Janet A. Tooze (6 shared papers)Jaime L. Speiser (2 shared papers)Michael E. Miller (2 shared papers)W. Jack Rejeski (25 shared papers)Sara A. Quandt (32 shared papers)Thomas A. Arcury (30 shared papers)Shari L. Barkin (13 shared papers)Santiago Saldana (29 shared papers)
- Journals
- The Journals of Gerontology Series A (14 papers)Psychometrika (10 papers)Journal of Clinical Oncology (6 papers)Journal of Immigrant and Minority Health (5 papers)Applied Psychological Measurement (5 papers)
- Partner nations
- United StatesChinaCanada
In The Last Decade
Edward H. Ip
231 papers receiving 5.4k citations
Edward H. Ip's Hit Papers
Peers
Comparison fields: 5 of 209
- Health 478
- Pharmacy 257
- Statistics and Probability 394
- Geriatrics and Gerontology 168
- Applied Psychology 185
Countries citing papers authored by Edward H. Ip
This map shows the geographic impact of Edward H. Ip'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 Edward H. Ip with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Edward H. Ip more than expected).
Fields of papers citing papers by Edward H. Ip
This network shows the impact of papers produced by Edward H. Ip. 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 Edward H. Ip. The network helps show where Edward H. Ip may publish in the future.
Co-authors
The 25 scholars most cited alongside Edward H. Ip, 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 238 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | A comparison of random forest variable selection methods for classification prediction modeling Hit paper breakdown → | 2019 | 995 |
| 2 | 2008 | 198 | |
| 3 | 2012 | 197 | |
| 4 | 2013 | 178 | |
| 5 | 2018 | 172 | |
| 6 | 2006 | 101 | |
| 7 | 2013 | 89 | |
| 8 | 2006 | 87 | |
| 9 | 2013 | 84 | |
| 10 | 2008 | 82 | |
| 11 | Stochastic EM: method and application | 1996 | 82 |
| 12 | 2009 | 78 | |
| 13 | 2011 | 74 | |
| 14 | 2013 | 73 | |
| 15 | 2011 | 67 | |
| 16 | 2011 | 60 | |
| 17 | 2008 | 59 | |
| 18 | 2015 | 57 | |
| 19 | 2006 | 53 | |
| 20 | 2015 | 50 |
About Edward H. Ip
Edward H. Ip is a scholar working on General Health Professions, Statistics and Probability, Public Health, Environmental and Occupational Health, Physiology and Health, having authored 238 papers that have together received 5.6k indexed citations. Recurring topics across this work include Obesity, Physical Activity, Diet (23 papers), Statistical Methods and Bayesian Inference (22 papers), Psychometric Methodologies and Testing (16 papers), Childhood Cancer Survivors' Quality of Life (14 papers), Advanced Statistical Modeling Techniques (14 papers), Physical Activity and Health (13 papers), Health disparities and outcomes (13 papers) and Cancer survivorship and care (12 papers). The work is most often cited by research in Health (478 citations), Pharmacy (257 citations), Statistics and Probability (394 citations), Geriatrics and Gerontology (168 citations) and Applied Psychology (185 citations). Edward H. Ip has collaborated with scholars based in United States, China and Canada. Frequent co-authors include Janet A. Tooze, Jaime L. Speiser, Michael E. Miller, W. Jack Rejeski, Sara A. Quandt, Thomas A. Arcury, Shari L. Barkin, Santiago Saldana, Nancy E. Avis and Stacia Finch. Their work appears in journals such as The Journals of Gerontology Series A, Psychometrika, Journal of Clinical Oncology, Journal of Immigrant and Minority Health and Applied Psychological Measurement.
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.