David J. DeVries
Impact in
- Theoretical Computer Science top 5%
- History and Theory of Mathematics
- Statistics and Probability top 5%
- Cognitive and developmental aspects of mathematical skills
- Statistics Education and Methodologies
Papers in
-
- Mathematics Education and Programs 2
-
- Innovative Teaching and Learning Methods 2
- Co-authors
- A. H. F. Brown (2 shared papers)Karen F. Thomas (2 shared papers)Ed Dubinsky (2 shared papers)David M. Mathews (1 shared paper)Mark Asiala (1 shared paper)Francisco Cordero (1 shared paper)Jim Cottrill (1 shared paper)Bronisław Czarnocha (1 shared paper)
- Journals
- The Journal of Mathematical Behavior (3 papers)Biodegradation (1 paper)Mathematics Magazine (1 paper)
- Partner nations
- United StatesMexico
In The Last Decade
David J. DeVries
6 papers receiving 349 citations
Peers
Comparison fields: 5 of 64
- Theoretical Computer Science 27
- Statistics and Probability 127
- Education 291
- Developmental and Educational Psychology 93
- Neuropsychology and Physiological Psychology 9
Countries citing papers authored by David J. DeVries
This map shows the geographic impact of David J. DeVries'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 J. DeVries with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David J. DeVries more than expected).
Fields of papers citing papers by David J. DeVries
This network shows the impact of papers produced by David J. DeVries. 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 J. DeVries. The network helps show where David J. DeVries may publish in the future.
Co-authors
The 12 scholars most cited alongside David J. DeVries, 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 | 1996 | 206 | |
| 2 | 1997 | 102 | |
| 3 | 1997 | 44 | |
| 4 | 2014 | 36 | |
| 5 | 1997 | 4 | |
| 6 | 1989 | 2 |
About David J. DeVries
David J. DeVries is a scholar working on Modeling and Simulation, Developmental and Educational Psychology, Education, Statistics and Probability and Pollution, having authored 6 papers that have together received 394 indexed citations. Recurring topics across this work include Mathematics Education and Teaching Techniques (3 papers), Innovative Teaching and Learning Methods (2 papers), Mathematics Education and Programs (2 papers), Philosophy and Theoretical Science (1 paper), Science Education and Pedagogy (1 paper), Education and Digital Technologies (1 paper), Microbial bioremediation and biosurfactants (1 paper) and Atmospheric and Environmental Gas Dynamics (1 paper). The work is most often cited by research in Theoretical Computer Science (27 citations), Statistics and Probability (127 citations), Education (291 citations), Developmental and Educational Psychology (93 citations) and Neuropsychology and Physiological Psychology (9 citations). David J. DeVries has collaborated with scholars based in United States and Mexico. Frequent co-authors include A. H. F. Brown, Karen F. Thomas, Ed Dubinsky, David M. Mathews, Mark Asiala, Francisco Cordero, Jim Cottrill, Bronisław Czarnocha, Draga Vidakovic and Zhong Xiong. Their work appears in journals such as The Journal of Mathematical Behavior, Biodegradation and Mathematics Magazine.
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.