Warren H. Teichner

89 total papers · 1.8k total citations
58 papers, 1.4k citations indexed

About

Warren H. Teichner is a scholar working on Social Psychology, Cognitive Neuroscience and Experimental and Cognitive Psychology. According to data from OpenAlex, Warren H. Teichner has authored 58 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Social Psychology, 11 papers in Cognitive Neuroscience and 8 papers in Experimental and Cognitive Psychology. Recurrent topics in Warren H. Teichner's work include Visual perception and processing mechanisms (8 papers), Color perception and design (6 papers) and Visual and Cognitive Learning Processes (6 papers). Warren H. Teichner is often cited by papers focused on Visual perception and processing mechanisms (8 papers), Color perception and design (6 papers) and Visual and Cognitive Learning Processes (6 papers). Warren H. Teichner collaborates with scholars based in United States and Mexico. Warren H. Teichner's co-authors include Marjorie J. Krebs, John L. Kobrick, Jerrold M. Levine, Harvey B. Taub, Richard E. Christ and Jerome L. Myers and has published in prestigious journals such as Psychological Bulletin, Journal of Applied Psychology and Psychological Review.

In The Last Decade

Warren H. Teichner

53 papers receiving 1.2k citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Warren H. Teichner 589 300 255 193 122 58 1.4k
K. A. Provins 788 1.3× 226 0.8× 99 0.4× 132 0.7× 246 2.0× 37 1.2k
Takayuki Nozawa 735 1.2× 296 1.0× 440 1.7× 83 0.4× 131 1.1× 99 1.6k
Graham Wilson 673 1.1× 370 1.2× 248 1.0× 43 0.2× 38 0.3× 102 1.6k
Faisal Mushtaq 442 0.8× 145 0.5× 80 0.3× 133 0.7× 159 1.3× 74 1.4k
Glen A. Smith 853 1.4× 124 0.4× 558 2.2× 79 0.4× 329 2.7× 50 1.7k
Michael Barnett‐Cowan 889 1.5× 335 1.1× 425 1.7× 70 0.4× 80 0.7× 84 1.8k
Bob Cheung 429 0.7× 183 0.6× 120 0.5× 124 0.6× 32 0.3× 82 1.3k
W. P. Colquhoun 454 0.8× 465 1.6× 871 3.4× 134 0.7× 64 0.5× 49 1.8k
Évelyne Klinger 447 0.8× 191 0.6× 359 1.4× 54 0.3× 53 0.4× 45 1.6k
Jaime Guixeres 372 0.6× 304 1.0× 353 1.4× 48 0.2× 95 0.8× 47 1.4k

Countries citing papers authored by Warren H. Teichner

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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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.

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