William A. Greene
- Clinical Psychology top 10%
- Cardiology and Cardiovascular Medicine top 10%
- Psychiatry and Mental health top 10%
- Pediatrics, Perinatology and Child Health top 10%
- Social Psychology top 10%
- Co-authors
- Gerald MillerScott N. SwisherLawrence E. YoungPaul SchalchBernard F. SchreinerArthur J. MossH. D. KimmelDamon Delistraty
- Topics
- Childhood Cancer Survivors' Quality of Life (6 papers)Metaheuristic Optimization Algorithms Research (6 papers)Evolutionary Algorithms and Applications (5 papers)
- Partner nations
- United StatesFrance
In The Last Decade
William A. Greene
42 papers receiving 644 citations
Peers
Comparison fields: 5 of 114
- Clinical Psychology 187
- Cardiology and Cardiovascular Medicine 153
- Psychiatry and Mental health 107
- Pediatrics, Perinatology and Child Health 94
- Social Psychology 93
Countries citing papers authored by William A. Greene
This map shows the geographic impact of William A. Greene'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 William A. Greene with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites William A. Greene more than expected).
Fields of papers citing papers by William A. Greene
This network shows the impact of papers produced by William A. Greene. 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 William A. Greene. The network helps show where William A. Greene may publish in the future.
Co-authorship network of co-authors of William A. Greene
This figure shows the co-authorship network connecting the top 25 collaborators of William A. Greene. A scholar is included among the top collaborators of William A. Greene 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 William A. Greene. William A. Greene is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | A genetic algorithm with self-distancing bits but no overt linkage | 1 |
| 3 | 2 | |
| 4 | Non-linear bit arrangements in genetic algorithms | 1 |
| 5 | 9 | |
| 6 | Partitioning Sets with Genetic Algorithms | 3 |
| 7 | 6 | |
| 8 | 16 | |
| 9 | 3 | |
| 10 | 119 | |
| 11 | 2 | |
| 12 | Prognostic grading and significance of ventricular premature beats after recovery from myocardial infarction. | 41 |
| 13 | 89 | |
| 14 | 18 | |
| 15 | 0 | |
| 16 | 1 | |
| 17 | 1 | |
| 18 | 15 | |
| 19 | 67 | |
| 20 | 72 |
About William A. Greene
William A. Greene is a scholar working on Developmental and Educational Psychology, Pediatrics, Perinatology and Child Health and Artificial Intelligence, having authored 43 papers that have together received 839 indexed citations. Recurring topics across this work include Childhood Cancer Survivors' Quality of Life (6 papers), Metaheuristic Optimization Algorithms Research (6 papers) and Evolutionary Algorithms and Applications (5 papers). The work is most often cited by research in Behavioral Neuroscience (67 citations), Applied Psychology (58 citations) and Clinical Psychology (187 citations). William A. Greene has collaborated with scholars based in United States and France. Frequent co-authors include Gerald Miller, Scott N. Swisher, Lawrence E. Young, Paul Schalch, Bernard F. Schreiner, Arthur J. Moss, H. D. Kimmel, Damon Delistraty, Alastair J. Moss and Susan Goldstein. Their work appears in journals such as JAMA, Annals of Internal Medicine and The Journal of Clinical Endocrinology & Metabolism.
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.