Franz Faul
- Applied Psychology top 0.02%
- Cognitive Neuroscience top 0.05%
- Visual perception and processing mechanisms 37
- Face Recognition and Perception 2
- Tactile and Sensory Interactions 2
- Experimental and Cognitive Psychology top 0.02%
- Social Psychology top 0.01%
- Color perception and design 25
- Deception detection and forensic psychology 2
- Clinical Psychology top 0.05%
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- Color Science and Applications 32
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- Advanced Vision and Imaging 3
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- Behavioral and Psychological Studies 2
Franz Faul
45 papers receiving 71.7k citations
Hit Papers
Peers
Comparison fields: 5 of 231
- Applied Psychology 4.7k
- Cognitive Neuroscience 15.3k
- Experimental and Cognitive Psychology 10.1k
- Social Psychology 14.2k
- Clinical Psychology 12.1k
Countries citing papers authored by Franz Faul
This map shows the geographic impact of Franz Faul'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 Franz Faul with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Franz Faul more than expected).
Fields of papers citing papers by Franz Faul
This network shows the impact of papers produced by Franz Faul. 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 Franz Faul. The network helps show where Franz Faul may publish in the future.
Co-authorship network
The 11 scholars most cited alongside Franz Faul, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 3 | |
| 2 | 2024 | 3 | |
| 3 | 2024 | 1 | |
| 4 | 2023 | 3 | |
| 5 | 2022 | 9 | |
| 6 | 2014 | 14 | |
| 7 | 2012 | 15 | |
| 8 | 2012 | 20 | |
| 9 | 2011 | 22 | |
| 10 | 2010 | 19 | |
| 11 | Statistical power analyses using G*Power 3.1: Tests for correlation and regression analysesbreakdown → | 2009 | 24116 |
| 12 | 2009 | 20 | |
| 13 | 2008 | 23 | |
| 14 | 2008 | 52 | |
| 15 | G*Power 3: A flexible statistical power analysis program for the social, behavioral, and biomedical sciencesbreakdown → | 2007 | 45527 |
| 16 | 2006 | 1 | |
| 17 | Simultaneous colour contrast in uniform and variegated surrounds: Common and specific effects | 2004 | 1 |
| 18 | Colour appearance: The influence of surround variance | 2004 | 1 |
| 19 | 2004 | 47 | |
| 20 | 2002 | 6 |
About Franz Faul
Franz Faul is a scholar working on Cognitive Neuroscience, Social Psychology and Atomic and Molecular Physics, and Optics, having authored 46 papers that have together received 74.2k indexed citations. Recurring topics across this work include Visual perception and processing mechanisms (37 papers), Color Science and Applications (32 papers), Color perception and design (25 papers), Advanced Vision and Imaging (3 papers), Face Recognition and Perception (2 papers), Behavioral and Psychological Studies (2 papers), Tactile and Sensory Interactions (2 papers) and Deception detection and forensic psychology (2 papers). The work is most often cited by research in Applied Psychology (4.7k citations), Cognitive Neuroscience (15.3k citations) and Experimental and Cognitive Psychology (10.1k citations). Franz Faul has collaborated with scholars based in Germany. Frequent co-authors include Edgar Erdfelder, Axel Buchner, Albert-Georg Lang, Vebjørn Ekroll, Susanne Mayr, Rainer Mausfeld, Gary Wendt, Eike M. Richter, Antje Nuthmann and Martin S. Brandt. Their work appears in journals such as Proceedings of the National Academy of Sciences, Psychological Science and Vision Research.
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.