Marc Strickert
Impact in
- Plant Science top 2%
- Plant Molecular Biology Research
- Plant Stress Responses and Tolerance
- Plant nutrient uptake and metabolism
- Seed Germination and Physiology
- Wheat and Barley Genetics and Pathology
- Artificial Intelligence top 5%
- Neural Networks and Applications
Papers in
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- Neural Networks and Applications 19
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- Gene expression and cancer classification 13
- Genomics and Chromatin Dynamics 6
- Co-authors
- Barbara Hammer (17 shared papers)Nese Sreenivasulu (12 shared papers)Ulrich Wobus (7 shared papers)Winfriede Weschke (9 shared papers)Thomas Villmann (13 shared papers)Volodymyr Radchuk (4 shared papers)Uwe Scholz (3 shared papers)Alessio Micheli (3 shared papers)
- Journals
- Neurocomputing (5 papers)PLANT PHYSIOLOGY (3 papers)PLoS Computational Biology (3 papers)Bioinformatics (2 papers)BMC Bioinformatics (2 papers)
- Partner nations
- GermanyArgentinaUnited Kingdom
In The Last Decade
Marc Strickert
62 papers receiving 1.7k citations
Peers
Comparison fields: 5 of 123
- Plant Science 1.1k
- Artificial Intelligence 381
- Computer Vision and Pattern Recognition 239
- Agronomy and Crop Science 96
- Molecular Biology 632
Countries citing papers authored by Marc Strickert
This map shows the geographic impact of Marc Strickert'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 Marc Strickert with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Marc Strickert more than expected).
Fields of papers citing papers by Marc Strickert
This network shows the impact of papers produced by Marc Strickert. 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 Marc Strickert. The network helps show where Marc Strickert may publish in the future.
Co-authors
The 25 scholars most cited alongside Marc Strickert, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 68 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2008 | 233 | |
| 2 | 2011 | 225 | |
| 3 | 2006 | 139 | |
| 4 | 2019 | 114 | |
| 5 | 2009 | 113 | |
| 6 | 2005 | 91 | |
| 7 | 2008 | 85 | |
| 8 | 2004 | 75 | |
| 9 | 2005 | 69 | |
| 10 | 2005 | 55 | |
| 11 | 2004 | 54 | |
| 12 | 2013 | 45 | |
| 13 | 2010 | 44 | |
| 14 | 2011 | 43 | |
| 15 | 2014 | 42 | |
| 16 | 2017 | 31 | |
| 17 | 2020 | 28 | |
| 18 | 2012 | 23 | |
| 19 | 2010 | 23 | |
| 20 | A sparse kernelized matrix learning vector quantization model for human activity recognition. | 2013 | 22 |
About Marc Strickert
Marc Strickert is a scholar working on Artificial Intelligence, Molecular Biology, Plant Science, Computer Vision and Pattern Recognition and Genetics, having authored 68 papers that have together received 1.8k indexed citations. Recurring topics across this work include Neural Networks and Applications (19 papers), Gene expression and cancer classification (13 papers), Face and Expression Recognition (7 papers), Plant nutrient uptake and metabolism (6 papers), Spectroscopy and Chemometric Analyses (6 papers), Genomics and Chromatin Dynamics (6 papers), Genetic Mapping and Diversity in Plants and Animals (6 papers) and Plant Molecular Biology Research (5 papers). The work is most often cited by research in Plant Science (1.1k citations), Artificial Intelligence (381 citations), Computer Vision and Pattern Recognition (239 citations), Agronomy and Crop Science (96 citations) and Molecular Biology (632 citations). Marc Strickert has collaborated with scholars based in Germany, Argentina and United Kingdom. Frequent co-authors include Barbara Hammer, Nese Sreenivasulu, Ulrich Wobus, Winfriede Weschke, Thomas Villmann, Volodymyr Radchuk, Uwe Scholz, Alessio Micheli, Alessandro Sperduti and Björn Usadel. Their work appears in journals such as Neurocomputing, PLANT PHYSIOLOGY, PLoS Computational Biology, Bioinformatics and BMC Bioinformatics.
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.