Patrick Hoffman
Impact in
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- Data Visualization and Analytics
- Video Analysis and Summarization
- Signal Processing top 10%
- Data Management and Algorithms
- Time Series Analysis and Forecasting
Papers in
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- Data Visualization and Analytics 3
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- Computational Drug Discovery Methods 3
- Co-authors
- Georges Grinstein (3 shared papers)Kenneth A. Marx (4 shared papers)John F. McCarthy (1 shared paper)John R. Hotchkiss (1 shared paper)Antoine Thyss (1 shared paper)M Schneider (1 shared paper)
- Journals
- Annals of the New York Academy of Sciences (1 paper)Morgan Kaufmann Publishers Inc. eBooks (1 paper)PubMed (1 paper)ChemInform (1 paper)Journal of Chemical Information and Computer Sciences (1 paper)
- Partner nations
- United StatesFrance
In The Last Decade
Patrick Hoffman
7 papers receiving 302 citations
Peers
Comparison fields: 5 of 99
- Computer Vision and Pattern Recognition 157
- Signal Processing 70
- Computer Graphics and Computer-Aided Design 14
- Artificial Intelligence 124
- Health Information Management 12
Countries citing papers authored by Patrick Hoffman
This map shows the geographic impact of Patrick Hoffman'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 Patrick Hoffman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Patrick Hoffman more than expected).
Fields of papers citing papers by Patrick Hoffman
This network shows the impact of papers produced by Patrick Hoffman. 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 Patrick Hoffman. The network helps show where Patrick Hoffman may publish in the future.
Co-authors
The 6 scholars most cited alongside Patrick Hoffman, 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 | 1999 | 98 | |
| 2 | 2004 | 96 | |
| 3 | A survey of visualizations for high-dimensional data mining | 2001 | 61 |
| 4 | Table visualizations: a formal model and its applications | 2000 | 45 |
| 5 | 2003 | 28 | |
| 6 | 2003 | 4 | |
| 7 | 2007 | 2 | |
| 8 | [Malignant lymphoma with centrofollicular cells associated with pseudomyelomatous lytic bone lesions]. | 1987 | 0 |
About Patrick Hoffman
Patrick Hoffman is a scholar working on Computer Vision and Pattern Recognition, Computational Theory and Mathematics, Organic Chemistry, Molecular Biology and Computer Networks and Communications, having authored 8 papers that have together received 334 indexed citations. Recurring topics across this work include Data Visualization and Analytics (3 papers), Computational Drug Discovery Methods (3 papers), Gene expression and cancer classification (2 papers), Synthesis and biological activity (2 papers), Advanced Proteomics Techniques and Applications (1 paper), Click Chemistry and Applications (1 paper), Advanced Database Systems and Queries (1 paper) and Data Mining Algorithms and Applications (1 paper). The work is most often cited by research in Computer Vision and Pattern Recognition (157 citations), Signal Processing (70 citations), Computer Graphics and Computer-Aided Design (14 citations), Artificial Intelligence (124 citations) and Health Information Management (12 citations). Patrick Hoffman has collaborated with scholars based in United States and France. Frequent co-authors include Georges Grinstein, Kenneth A. Marx, John F. McCarthy, John R. Hotchkiss, Antoine Thyss and M Schneider. Their work appears in journals such as Annals of the New York Academy of Sciences, Morgan Kaufmann Publishers Inc. eBooks, PubMed, ChemInform and Journal of Chemical Information and Computer Sciences.
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.