Anne C. Stallman
- Developmental and Educational Psychology top 5%
- Education top 10%
- Language and Linguistics top 10%
- Artificial Intelligence
- Cognitive Neuroscience
- Co-authors
- Judith A. ScottMarlene SchommerWilliam E. NagyRichard C. AndersonP. David PearsonMichelle CommeyrasDouglas K. HartmanSheila W. Valencia
- Topics
- Second Language Acquisition and Learning (3 papers)Reading and Literacy Development (3 papers)Syntax, Semantics, Linguistic Variation (1 paper)
- Journals
- Teaching and Teacher EducationReading Research QuarterlyReading Research and Instruction
- Partner nations
- United States
In The Last Decade
Anne C. Stallman
9 papers receiving 209 citations
Peers
Comparison fields: 5 of 30
- Developmental and Educational Psychology 203
- Education 98
- Language and Linguistics 55
- Artificial Intelligence 43
- Cognitive Neuroscience 39
Countries citing papers authored by Anne C. Stallman
This map shows the geographic impact of Anne C. Stallman'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 Anne C. Stallman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Anne C. Stallman more than expected).
Fields of papers citing papers by Anne C. Stallman
This network shows the impact of papers produced by Anne C. Stallman. 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 Anne C. Stallman. The network helps show where Anne C. Stallman may publish in the future.
Co-authorship network of co-authors of Anne C. Stallman
This figure shows the co-authorship network connecting the top 25 collaborators of Anne C. Stallman. A scholar is included among the top collaborators of Anne C. Stallman 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 Anne C. Stallman. Anne C. Stallman is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 9 | |
| 2 | Alternative approaches to vocabulary assessment | 4 |
| 3 | 19 | |
| 4 | Approaches to the future of reading assessment : resistance, complacency, reform | 1 |
| 5 | Learning vocabulary from context: Effects of focusing attention on individual words during reading | 13 |
| 6 | 21 | |
| 7 | Formal Measures of Early Literacy. Technical Report No. 511. | 1 |
| 8 | Formal measures of early literacy | 26 |
| 9 | 8 | |
| 10 | 157 |
About Anne C. Stallman
Anne C. Stallman is a scholar working on Developmental and Educational Psychology, Education and Language and Linguistics, having authored 10 papers that have together received 259 indexed citations. Recurring topics across this work include Second Language Acquisition and Learning (3 papers), Reading and Literacy Development (3 papers) and Syntax, Semantics, Linguistic Variation (1 paper). The work is most often cited by research in Developmental and Educational Psychology (203 citations), Language and Linguistics (55 citations) and Statistics and Probability (34 citations). Anne C. Stallman has collaborated with scholars based in United States. Frequent co-authors include Judith A. Scott, Marlene Schommer, William E. Nagy, Richard C. Anderson, P. David Pearson, Michelle Commeyras, Douglas K. Hartman, Sheila W. Valencia, Robert T. Jiménez and Diane Stephens. Their work appears in journals such as Teaching and Teacher Education, Reading Research Quarterly and Reading Research and Instruction.
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.