David S. Vogel
- Developmental and Educational Psychology top 2%
- Education top 5%
- Sociology and Political Science top 10%
- Cognitive Neuroscience top 10%
- Artificial Intelligence top 10%
- Co-authors
- Clint BowersMichelle F. WrightJanis A. Cannon‐BowersTobias SchefferAlice E. KaneJames R. MitchellMichael S. BonkowskiDavid Sinclair
- Topics
- Advanced Statistical Methods and Models (2 papers)Customer churn and segmentation (2 papers)Data Mining Algorithms and Applications (2 papers)
- Partner nations
- United StatesAustraliaCanada
In The Last Decade
David S. Vogel
14 papers receiving 925 citations
Hit Papers
Peers
Comparison fields: 5 of 138
- Developmental and Educational Psychology 503
- Education 203
- Sociology and Political Science 152
- Cognitive Neuroscience 151
- Artificial Intelligence 144
Countries citing papers authored by David S. Vogel
This map shows the geographic impact of David S. Vogel'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 David S. Vogel with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David S. Vogel more than expected).
Fields of papers citing papers by David S. Vogel
This network shows the impact of papers produced by David S. Vogel. 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 David S. Vogel. The network helps show where David S. Vogel may publish in the future.
Co-authorship network of co-authors of David S. Vogel
This figure shows the co-authorship network connecting the top 25 collaborators of David S. Vogel. A scholar is included among the top collaborators of David S. Vogel 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 David S. Vogel. David S. Vogel is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | 3 | |
| 4 | 83 | |
| 5 | 15 | |
| 6 | Analysis of the KDD cup 2009: fast scoring on a large orange customer database | 27 |
| 7 | 16 | |
| 8 | Computer Gaming and Interactive Simulations for Learning: A Meta-Analysisbreakdown → | 604 |
| 9 | 30 | |
| 10 | 2 | |
| 11 | Automatically Inducing Ontologies from Corpora | 14 |
| 12 | 1 | |
| 13 | 30 | |
| 14 | 181 | |
| 15 | 4 | |
| 16 | 2 |
About David S. Vogel
David S. Vogel is a scholar working on Aging, Geriatrics and Gerontology and Statistics and Probability, having authored 16 papers that have together received 1.0k indexed citations. Recurring topics across this work include Advanced Statistical Methods and Models (2 papers), Customer churn and segmentation (2 papers) and Data Mining Algorithms and Applications (2 papers). The work is most often cited by research in Developmental and Educational Psychology (503 citations), Computer Science Applications (141 citations) and Aging (41 citations). David S. Vogel has collaborated with scholars based in United States, Australia and Canada. Frequent co-authors include Clint Bowers, Michelle F. Wright, Janis A. Cannon‐Bowers, Tobias Scheffer, Alice E. Kane, James R. Mitchell, Michael S. Bonkowski, David Sinclair, Michael R. MacArthur and Sarah J. Mitchell. Their work appears in journals such as Nature Communications, PLoS ONE and The Journals of Gerontology Series A.
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.