Richard Mushlin
- Molecular Biology
- Cellular and Molecular Neuroscience top 5%
- Computer Vision and Pattern Recognition top 5%
- Neurology top 10%
- Artificial Intelligence top 10%
- Co-authors
- Jia LiDan HellerCatherine PlaisantBen ShneidermanLiliana MenalledDavid HowlandDani BrunnerSylvie Ramboz
- Topics
- Gene expression and cancer classification (5 papers)Bioinformatics and Genomic Networks (3 papers)NMR spectroscopy and applications (3 papers)
- Partner nations
- United StatesTürkiye
In The Last Decade
Richard Mushlin
14 papers receiving 644 citations
Peers
Comparison fields: 5 of 102
- Molecular Biology 359
- Cellular and Molecular Neuroscience 329
- Computer Vision and Pattern Recognition 157
- Neurology 136
- Artificial Intelligence 113
Countries citing papers authored by Richard Mushlin
This map shows the geographic impact of Richard Mushlin'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 Richard Mushlin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Richard Mushlin more than expected).
Fields of papers citing papers by Richard Mushlin
This network shows the impact of papers produced by Richard Mushlin. 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 Richard Mushlin. The network helps show where Richard Mushlin may publish in the future.
Co-authorship network of co-authors of Richard Mushlin
This figure shows the co-authorship network connecting the top 25 collaborators of Richard Mushlin. A scholar is included among the top collaborators of Richard Mushlin 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 Richard Mushlin. Richard Mushlin is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 33 | |
| 2 | 26 | |
| 3 | 0 | |
| 4 | 3 | |
| 5 | 309 | |
| 6 | 4 | |
| 7 | 19 | |
| 8 | 5 | |
| 9 | 10 | |
| 10 | 10 | |
| 11 | 254 | |
| 12 | Progress notes model. | 4 |
| 13 | 1 | |
| 14 | AN INSTRUMENT CONTROL AND DATA ANALYSIS PROGRAM FOR NMR IMAGING AND SPECTROSCOPY | 1 |
| 15 | 1 |
About Richard Mushlin
Richard Mushlin is a scholar working on Nuclear and High Energy Physics, Cellular and Molecular Neuroscience and Health Information Management, having authored 15 papers that have together received 680 indexed citations. Recurring topics across this work include Gene expression and cancer classification (5 papers), Bioinformatics and Genomic Networks (3 papers) and NMR spectroscopy and applications (3 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (329 citations), Health Information Management (52 citations) and Neurology (136 citations). Richard Mushlin has collaborated with scholars based in United States and Türkiye. Frequent co-authors include Jia Li, Dan Heller, Catherine Plaisant, Ben Shneiderman, Liliana Menalled, David Howland, Dani Brunner, Sylvie Ramboz, David Connor and Andrea E. Kudwa. Their work appears in journals such as PLoS ONE, IEEE Transactions on Biomedical Engineering and Journal of Proteome 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.