David M. Keirsey
- Computer Vision and Pattern Recognition top 5%
- Artificial Intelligence top 10%
- Education top 5%
- Developmental and Educational Psychology top 10%
- Social Psychology top 10%
- Co-authors
- Marilyn BatesDavid W. PaytonJ.K. RosenblattJoseph S. B. MitchellJimmy KrozelDavid TsengC. YuWei Sun
- Topics
- Semantic Web and Ontologies (5 papers)Robotic Path Planning Algorithms (5 papers)Modular Robots and Swarm Intelligence (4 papers)
- Cited by
- Computer Vision and Pattern RecognitionArchitectureDevelopmental and Educational Psychology
- Partner nations
- United States
In The Last Decade
David M. Keirsey
15 papers receiving 691 citations
Peers
Comparison fields: 5 of 110
- Computer Vision and Pattern Recognition 234
- Artificial Intelligence 179
- Education 152
- Developmental and Educational Psychology 107
- Social Psychology 106
Countries citing papers authored by David M. Keirsey
This map shows the geographic impact of David M. Keirsey'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 M. Keirsey with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David M. Keirsey more than expected).
Fields of papers citing papers by David M. Keirsey
This network shows the impact of papers produced by David M. Keirsey. 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 M. Keirsey. The network helps show where David M. Keirsey may publish in the future.
Co-authorship network of co-authors of David M. Keirsey
This figure shows the co-authorship network connecting the top 25 collaborators of David M. Keirsey. A scholar is included among the top collaborators of David M. Keirsey 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 M. Keirsey. David M. Keirsey 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 | 6 | |
| 3 | 43 | |
| 4 | 29 | |
| 5 | 0 | |
| 6 | Please Understand Me II: Temperament, Character, Intelligence | 151 |
| 7 | 47 | |
| 8 | 128 | |
| 9 | Scale-Space Representations for Flexible Automated Terrain Reasoning | 0 |
| 10 | 40 | |
| 11 | 5 | |
| 12 | 13 | |
| 13 | 33 | |
| 14 | Autonomous vehicle control: an overview of the Hughes project | 13 |
| 15 | Word learning with hierarchy-guided inference | 2 |
| 16 | Natural Language Processing Applied to Navy Tactical Messages. | 1 |
| 17 | A representation of space | 1 |
| 18 | Please Understand Me: Character and Temperament Types | 323 |
About David M. Keirsey
David M. Keirsey is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Development, having authored 18 papers that have together received 835 indexed citations. Recurring topics across this work include Semantic Web and Ontologies (5 papers), Robotic Path Planning Algorithms (5 papers) and Modular Robots and Swarm Intelligence (4 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (234 citations), Architecture (13 citations) and Developmental and Educational Psychology (107 citations). David M. Keirsey has collaborated with scholars based in United States. Frequent co-authors include Marilyn Bates, David W. Payton, J.K. Rosenblatt, Joseph S. B. Mitchell, Jimmy Krozel, David Tseng, C. Yu, Wei Sun, Son Dao and Vicky Wong. Their work appears in journals such as JAMA, IEEE Transactions on Software Engineering and International Journal of Intelligent Systems.
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.