Mark Asiala
Impact in
- Theoretical Computer Science top 10%
- History and Theory of Mathematics
- Statistics and Probability top 5%
- Cognitive and developmental aspects of mathematical skills
- Statistics Education and Methodologies
Papers in
-
- Urban, Neighborhood, and Segregation Studies 3
-
- Mathematics Education and Teaching Techniques 3
- Co-authors
- Ed Dubinsky (2 shared papers)Jim Cottrill (1 shared paper)David M. Mathews (2 shared papers)Asuman Oktaç (1 shared paper)A. H. F. Brown (1 shared paper)Alfredo Menéndez Navarro (3 shared papers)Donald Malec (1 shared paper)Tucker McElroy (1 shared paper)
- Journals
- The Journal of Mathematical Behavior (2 papers)Journal of the American Statistical Association (1 paper)
- Partner nations
- United StatesMexico
In The Last Decade
Mark Asiala
6 papers receiving 228 citations
Peers
Comparison fields: 5 of 52
- Theoretical Computer Science 19
- Statistics and Probability 105
- Education 227
- Developmental and Educational Psychology 67
- Computer Science Applications 24
Countries citing papers authored by Mark Asiala
This map shows the geographic impact of Mark Asiala'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 Mark Asiala with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mark Asiala more than expected).
Fields of papers citing papers by Mark Asiala
This network shows the impact of papers produced by Mark Asiala. 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 Mark Asiala. The network helps show where Mark Asiala may publish in the future.
Co-authors
The 9 scholars most cited alongside Mark Asiala, 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 | 1997 | 190 | |
| 2 | 1997 | 56 | |
| 3 | 1998 | 15 | |
| 4 | An Analysis of Alternate Variance Estimation Methods for the American Community Survey Group Quarters Sample | 2010 | 5 |
| 5 | Interpretation and Use of American Community Survey Multiyear Estimates | 2012 | 5 |
| 6 | 2013 | 5 |
About Mark Asiala
Mark Asiala is a scholar working on Sociology and Political Science, Education, Computer Science Applications, Developmental and Educational Psychology and Statistics and Probability, having authored 6 papers that have together received 276 indexed citations. Recurring topics across this work include Mathematics Education and Teaching Techniques (3 papers), Urban, Neighborhood, and Segregation Studies (3 papers), Census and Population Estimation (2 papers), Innovative Teaching and Learning Methods (2 papers), Teaching and Learning Programming (2 papers), Housing Market and Economics (1 paper), demographic modeling and climate adaptation (1 paper) and Statistical Methods and Bayesian Inference (1 paper). The work is most often cited by research in Theoretical Computer Science (19 citations), Statistics and Probability (105 citations), Education (227 citations), Developmental and Educational Psychology (67 citations) and Computer Science Applications (24 citations). Mark Asiala has collaborated with scholars based in United States and Mexico. Frequent co-authors include Ed Dubinsky, Jim Cottrill, David M. Mathews, Asuman Oktaç, A. H. F. Brown, Alfredo Menéndez Navarro, Donald Malec, Tucker McElroy and Roderick J. A. Little. Their work appears in journals such as The Journal of Mathematical Behavior and Journal of the American Statistical Association.
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.