Robert A. Schmidt
Impact in
-
- Radiomics and Machine Learning in Medical Imaging
- Artificial Intelligence top 2%
- AI in cancer detection
Papers in
-
- Bioenergy crop production and management 10
-
- Yeasts and Rust Fungi Studies 20
- Co-authors
- Maryellen Lissak Giger (6 shared papers)Robert M. Nishikawa (4 shared papers)Kunio Doi (2 shared papers)Dulcy Wolverton (3 shared papers)Carl J. Vyborny (3 shared papers)Zhimin Huo (2 shared papers)Yulei Jiang (1 shared paper)Barbara L. Voss (1 shared paper)
- Journals
- Phytopathology (5 papers)Southern Journal of Applied Forestry (5 papers)Plant Disease (3 papers)Academic Radiology (3 papers)American Journal of Roentgenology (2 papers)
- Partner nations
- United StatesGermanyIreland
In The Last Decade
Robert A. Schmidt
38 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 125
- Radiology, Nuclear Medicine and Imaging 452
- Artificial Intelligence 679
- Cancer Research 168
- Computer Vision and Pattern Recognition 257
- Archeology 12
Countries citing papers authored by Robert A. Schmidt
This map shows the geographic impact of Robert A. Schmidt'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 Robert A. Schmidt with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Robert A. Schmidt more than expected).
Fields of papers citing papers by Robert A. Schmidt
This network shows the impact of papers produced by Robert A. Schmidt. 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 Robert A. Schmidt. The network helps show where Robert A. Schmidt may publish in the future.
Co-authors
The 25 scholars most cited alongside Robert A. Schmidt, 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 44 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1999 | 266 | |
| 2 | 1995 | 150 | |
| 3 | 1998 | 144 | |
| 4 | 1994 | 142 | |
| 5 | 1995 | 94 | |
| 6 | 2005 | 87 | |
| 7 | 2007 | 82 | |
| 8 | 2013 | 65 | |
| 9 | 2000 | 54 | |
| 10 | 1995 | 53 | |
| 11 | 1994 | 43 | |
| 12 | 2003 | 40 | |
| 13 | 1978 | 40 | |
| 14 | 1981 | 29 | |
| 15 | 1981 | 17 | |
| 16 | 2005 | 16 | |
| 17 | 1992 | 15 | |
| 18 | 2000 | 13 | |
| 19 | 1991 | 12 | |
| 20 | 2007 | 12 |
About Robert A. Schmidt
Robert A. Schmidt is a scholar working on Agronomy and Crop Science, Molecular Biology, Cell Biology, Plant Science and Ecology, Evolution, Behavior and Systematics, having authored 44 papers that have together received 1.5k indexed citations. Recurring topics across this work include Yeasts and Rust Fungi Studies (20 papers), Bioenergy crop production and management (10 papers), Plant Pathogens and Resistance (7 papers), Plant Pathogens and Fungal Diseases (7 papers), AI in cancer detection (6 papers), Forest Insect Ecology and Management (5 papers), Plant Disease Resistance and Genetics (4 papers) and Species Distribution and Climate Change (2 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (452 citations), Artificial Intelligence (679 citations), Cancer Research (168 citations), Computer Vision and Pattern Recognition (257 citations) and Archeology (12 citations). Robert A. Schmidt has collaborated with scholars based in United States, Germany and Ireland. Frequent co-authors include Maryellen Lissak Giger, Robert M. Nishikawa, Kunio Doi, Dulcy Wolverton, Carl J. Vyborny, Zhimin Huo, Yulei Jiang, Barbara L. Voss, Charles E. Metz and Ulrich Bick. Their work appears in journals such as Phytopathology, Southern Journal of Applied Forestry, Plant Disease, Academic Radiology and American Journal of Roentgenology.
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.