Franz Faul
- Cognitive Neuroscience top 0.05%
- Social Psychology top 0.01%
- Clinical Psychology top 0.05%
- Sociology and Political Science top 0.02%
- Experimental and Cognitive Psychology top 0.02%
- Co-authors
- Edgar ErdfelderAxel BuchnerAlbert-Georg LangVebjørn EkrollSusanne MayrRainer MausfeldGary WendtEike M. Richter
- Topics
- Visual perception and processing mechanisms (37 papers)Color Science and Applications (32 papers)Color perception and design (25 papers)
- Partner nations
- Germany
In The Last Decade
Franz Faul
45 papers receiving 71.7k citations
Hit Papers
Peers
Comparison fields: 5 of 231
- Cognitive Neuroscience 15.3k
- Social Psychology 14.2k
- Clinical Psychology 12.1k
- Sociology and Political Science 10.4k
- Experimental and Cognitive Psychology 10.1k
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 of co-authors of Franz Faul
This figure shows the co-authorship network connecting the top 25 collaborators of Franz Faul. A scholar is included among the top collaborators of Franz Faul 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 Franz Faul. Franz Faul is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 3 | |
| 3 | 1 | |
| 4 | 3 | |
| 5 | 9 | |
| 6 | 14 | |
| 7 | 15 | |
| 8 | 20 | |
| 9 | 22 | |
| 10 | 19 | |
| 11 | Statistical power analyses using G*Power 3.1: Tests for correlation and regression analysesbreakdown → | 24116 |
| 12 | 20 | |
| 13 | 23 | |
| 14 | 52 | |
| 15 | G*Power 3: A flexible statistical power analysis program for the social, behavioral, and biomedical sciencesbreakdown → | 45527 |
| 16 | 1 | |
| 17 | Simultaneous colour contrast in uniform and variegated surrounds: Common and specific effects | 1 |
| 18 | Colour appearance: The influence of surround variance | 1 |
| 19 | 47 | |
| 20 | 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) and Color perception and design (25 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.