Peter W. Neurath
- Molecular Biology
- Computer Vision and Pattern Recognition top 5%
- Genetics
- Biophysics top 2%
- Media Technology top 2%
- Co-authors
- W D SellesJohn F. BrennerThomas C. KingAubrey MilunskyC. D. GrahamGiuseppe GallusMartha D. BerlinerDavid A. Low
- Topics
- Gene expression and cancer classification (9 papers)Genomic variations and chromosomal abnormalities (7 papers)Microstructure and Mechanical Properties of Steels (4 papers)
- Partner nations
- United StatesUnited KingdomSwitzerland
In The Last Decade
Peter W. Neurath
42 papers receiving 694 citations
Peers
Comparison fields: 5 of 121
- Molecular Biology 204
- Computer Vision and Pattern Recognition 163
- Genetics 147
- Biophysics 144
- Media Technology 141
Countries citing papers authored by Peter W. Neurath
This map shows the geographic impact of Peter W. Neurath'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 Peter W. Neurath with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Peter W. Neurath more than expected).
Fields of papers citing papers by Peter W. Neurath
This network shows the impact of papers produced by Peter W. Neurath. 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 Peter W. Neurath. The network helps show where Peter W. Neurath may publish in the future.
Co-authorship network of co-authors of Peter W. Neurath
This figure shows the co-authorship network connecting the top 25 collaborators of Peter W. Neurath. A scholar is included among the top collaborators of Peter W. Neurath 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 Peter W. Neurath. Peter W. Neurath is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 181 | |
| 2 | A description by computer of texture in Wright-stained leukocytes. | 3 |
| 3 | 8 | |
| 4 | 1 | |
| 5 | 4 | |
| 6 | 50 | |
| 7 | 15 | |
| 8 | 5 | |
| 9 | 7 | |
| 10 | 11 | |
| 11 | 38 | |
| 12 | 55 | |
| 13 | 1 | |
| 14 | 7 | |
| 15 | 12 | |
| 16 | 7 | |
| 17 | 3 | |
| 18 | 0 | |
| 19 | 1 | |
| 20 | 6 |
About Peter W. Neurath
Peter W. Neurath is a scholar working on Biophysics, Genetics and Renewable Energy, Sustainability and the Environment, having authored 45 papers that have together received 814 indexed citations. Recurring topics across this work include Gene expression and cancer classification (9 papers), Genomic variations and chromosomal abnormalities (7 papers) and Microstructure and Mechanical Properties of Steels (4 papers). The work is most often cited by research in Biophysics (144 citations), Media Technology (141 citations) and Computer Vision and Pattern Recognition (163 citations). Peter W. Neurath has collaborated with scholars based in United States, United Kingdom and Switzerland. Frequent co-authors include W D Selles, John F. Brenner, Thomas C. King, Aubrey Milunsky, C. D. Graham, Giuseppe Gallus, Martha D. Berliner, David A. Low, Kurt Enslein and Benjamin Bell. Their work appears in journals such as Nature, Science and New England Journal of Medicine.
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.