Warren H. Teichner
- Cognitive Neuroscience top 5%
- Social Psychology top 5%
- Experimental and Cognitive Psychology top 5%
- Physiology top 10%
- Developmental and Educational Psychology top 10%
- Co-authors
- Marjorie J. KrebsJohn L. KobrickJerrold M. LevineHarvey B. TaubRichard E. ChristJerome L. Myers
- Topics
- Visual perception and processing mechanisms (8 papers)Visual and Cognitive Learning Processes (6 papers)Color perception and design (6 papers)
- Partner nations
- United StatesMexico
In The Last Decade
Warren H. Teichner
53 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 139
- Cognitive Neuroscience 590
- Social Psychology 299
- Experimental and Cognitive Psychology 256
- Physiology 193
- Developmental and Educational Psychology 123
Countries citing papers authored by Warren H. Teichner
This map shows the geographic impact of Warren H. Teichner'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 Warren H. Teichner with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Warren H. Teichner more than expected).
Fields of papers citing papers by Warren H. Teichner
This network shows the impact of papers produced by Warren H. Teichner. 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 Warren H. Teichner. The network helps show where Warren H. Teichner may publish in the future.
Co-authorship network of co-authors of Warren H. Teichner
This figure shows the co-authorship network connecting the top 25 collaborators of Warren H. Teichner. A scholar is included among the top collaborators of Warren H. Teichner 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 Warren H. Teichner. Warren H. Teichner is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 100 | |
| 3 | 1 | |
| 4 | 0 | |
| 5 | Predicting Human Performance. I. Estimating the Probability of Visual Detection. Final Report. | 0 |
| 6 | Response blocking: A necessary performance criterion | 1 |
| 7 | 14 | |
| 8 | 1 | |
| 9 | 2 | |
| 10 | 56 | |
| 11 | 9 | |
| 12 | TRAINING ASPECTS OF DECISION MAKING, PHASE II | 0 |
| 13 | 7 | |
| 14 | 49 | |
| 15 | 72 | |
| 16 | 33 | |
| 17 | 2 | |
| 18 | 15 | |
| 19 | 27 | |
| 20 | 3 |
About Warren H. Teichner
Warren H. Teichner is a scholar working on General Decision Sciences, General Psychology and Social Psychology, having authored 58 papers that have together received 1.4k indexed citations. Recurring topics across this work include Visual perception and processing mechanisms (8 papers), Visual and Cognitive Learning Processes (6 papers) and Color perception and design (6 papers). The work is most often cited by research in Cognitive Neuroscience (590 citations), Experimental and Cognitive Psychology (256 citations) and General Decision Sciences (32 citations). Warren H. Teichner has collaborated with scholars based in United States and Mexico. Frequent co-authors include Marjorie J. Krebs, John L. Kobrick, Jerrold M. Levine, Harvey B. Taub, Richard E. Christ and Jerome L. Myers. Their work appears in journals such as Psychological Bulletin, Journal of Applied Psychology and Psychological Review.
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.