Michael Banf
Impact in
- Human-Computer Interaction top 10%
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- Plant biochemistry and biosynthesis
- Bioinformatics and Genomic Networks
- Microbial Metabolic Engineering and Bioproduction
- Gene Regulatory Network Analysis
- Plant Gene Expression Analysis
- Photosynthetic Processes and Mechanisms
Papers in ⓘ
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- Bioinformatics and Genomic Networks 3
- Plant biochemistry and biosynthesis 2
- Genomics and Chromatin Dynamics 2
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- Tactile and Sensory Interactions 4
- Co-authors
- Seung Y. Rhee (6 shared papers)Volker Blanz (5 shared papers)Ricardo Nilo‐Poyanco (1 shared paper)Chuan Wang (1 shared paper)Arvind K. Chavali (1 shared paper)Kate Dreher (1 shared paper)Tae Hyong Kim (1 shared paper)Daniel Kahn (1 shared paper)
- Journals
- Scientific Reports (1 paper)PLANT PHYSIOLOGY (1 paper)Current Biology (1 paper)Biochimica et Biophysica Acta (BBA) - Gene Regulatory Mechanisms (1 paper)Molecular Ecology (1 paper)
- Partner nations
- United StatesGermanyFrance
In The Last Decade
Michael Banf
13 papers receiving 475 citations
Peers
Comparison fields: 5 of 73
- Human-Computer Interaction 26
- Molecular Biology 314
- Plant Science 166
- Pharmacology 53
- Biophysics 11
Countries citing papers authored by Michael Banf
This map shows the geographic impact of Michael Banf'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 Michael Banf with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael Banf more than expected).
Fields of papers citing papers by Michael Banf
This network shows the impact of papers produced by Michael Banf. 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 Michael Banf. The network helps show where Michael Banf may publish in the future.
Co-authors
The 25 scholars most cited alongside Michael Banf, 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 | 2017 | 253 | |
| 2 | 2016 | 80 | |
| 3 | 2017 | 28 | |
| 4 | 2013 | 21 | |
| 5 | 2018 | 21 | |
| 6 | 2023 | 18 | |
| 7 | 2019 | 12 | |
| 8 | A Modular Computer Vision Sonification Model For The Visually Impaired | 2012 | 10 |
| 9 | 2023 | 9 | |
| 10 | 2009 | 9 | |
| 11 | 2015 | 6 | |
| 12 | 2013 | 5 | |
| 13 | 2016 | 5 |
About Michael Banf
Michael Banf is a scholar working on Molecular Biology, Cognitive Neuroscience, Computer Vision and Pattern Recognition, Genetics and Human-Computer Interaction, having authored 13 papers that have together received 477 indexed citations. Recurring topics across this work include Tactile and Sensory Interactions (4 papers), Bioinformatics and Genomic Networks (3 papers), Plant Molecular Biology Research (2 papers), Genetic Mapping and Diversity in Plants and Animals (2 papers), Plant nutrient uptake and metabolism (2 papers), Plant biochemistry and biosynthesis (2 papers), Genomics and Chromatin Dynamics (2 papers) and Currency Recognition and Detection (2 papers). The work is most often cited by research in Human-Computer Interaction (26 citations), Molecular Biology (314 citations), Plant Science (166 citations), Pharmacology (53 citations) and Biophysics (11 citations). Michael Banf has collaborated with scholars based in United States, Germany and France. Frequent co-authors include Seung Y. Rhee, Volker Blanz, Ricardo Nilo‐Poyanco, Chuan Wang, Arvind K. Chavali, Kate Dreher, Tae Hyong Kim, Daniel Kahn, Pascal Schläpfer and Lee Chae. Their work appears in journals such as Scientific Reports, PLANT PHYSIOLOGY, Current Biology, Biochimica et Biophysica Acta (BBA) - Gene Regulatory Mechanisms and Molecular Ecology.
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.