Robert W. Lawler
- Education top 10%
- Developmental and Educational Psychology top 10%
- Artificial Intelligence
- Statistics and Probability top 5%
- Experimental and Cognitive Psychology
- Topics
- Innovative Teaching and Learning Methods (3 papers)Visual and Cognitive Learning Processes (2 papers)Semantic Web and Ontologies (2 papers)
- Cited by
- Computer Science ApplicationsDevelopmental and Educational PsychologyStatistics and Probability
- Partner nations
- United StatesUnited KingdomIreland
In The Last Decade
Robert W. Lawler
15 papers receiving 214 citations
Peers
Comparison fields: 5 of 74
- Education 127
- Developmental and Educational Psychology 82
- Artificial Intelligence 62
- Statistics and Probability 53
- Experimental and Cognitive Psychology 45
Countries citing papers authored by Robert W. Lawler
This map shows the geographic impact of Robert W. Lawler'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 Robert W. Lawler with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Robert W. Lawler more than expected).
Fields of papers citing papers by Robert W. Lawler
This network shows the impact of papers produced by Robert W. Lawler. 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 Robert W. Lawler. The network helps show where Robert W. Lawler may publish in the future.
Co-authorship network of co-authors of Robert W. Lawler
This figure shows the co-authorship network connecting the top 25 collaborators of Robert W. Lawler. A scholar is included among the top collaborators of Robert W. Lawler 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 Robert W. Lawler. Robert W. Lawler is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 6 | |
| 2 | 2 | |
| 3 | 1 | |
| 4 | Learning with computers | 1 |
| 5 | 0 | |
| 6 | 0 | |
| 7 | Principles and case studies | 27 |
| 8 | Artificial Intelligence and Education: Principles and Case Studies | 4 |
| 9 | Constructing Knowledge from Interactions. | 18 |
| 10 | Learning environments and tutoring systems | 7 |
| 11 | Learning environments: now, then, and someday | 13 |
| 12 | Artificial intelligence and education; vol. 1: learning environments and tutoring systems | 16 |
| 13 | Co-adaptation and the development of cognitive structures | 0 |
| 14 | 21 | |
| 15 | Cognition and computers : studies in learning | 14 |
| 16 | 3 | |
| 17 | 3 | |
| 18 | 55 | |
| 19 | Extending a Powerful Idea | 6 |
| 20 | 9 |
About Robert W. Lawler
Robert W. Lawler is a scholar working on Developmental and Educational Psychology, Applied Psychology and Artificial Intelligence, having authored 22 papers that have together received 277 indexed citations. Recurring topics across this work include Innovative Teaching and Learning Methods (3 papers), Visual and Cognitive Learning Processes (2 papers) and Semantic Web and Ontologies (2 papers). The work is most often cited by research in Computer Science Applications (42 citations), Developmental and Educational Psychology (82 citations) and Statistics and Probability (53 citations). Robert W. Lawler has collaborated with scholars based in United States, United Kingdom and Ireland. Frequent co-authors include Masoud Yazdani, Nick Rushby, Seymour Papert, Kathleen M. Carley and David L. Allen. Their work appears in journals such as Cognitive Science, British Journal of Educational Technology and Instructional Science.
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.