Patrick Hoffman

523 citations
8 papers · 330 indexed · h-index 5

Patrick Hoffman

7 papers receiving 298 citations

Peers

Patrick Hoffman
Comparison fields: 5 of 100
  • Computer Vision and Pattern Recognition 157
  • Signal Processing 70
  • Computer Graphics and Computer-Aided Design 14
  • Artificial Intelligence 126
  • Health Information Management 12
Replace Min-Jen Tsai with:
Min-Jen Tsai Taiwan
Matthew Simpson United States
Ayman M. Abdalla Jordan
Sumit Negi India
Grigory Begelman Israel
Dongseop Kwon South Korea
Xiaofei Nan China
Jun Huan United States
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Citations per field
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Citations per year

Countries citing papers authored by Patrick Hoffman

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network

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.

Border = papers with Patrick Hoffman Line = papers co-authored together Patrick Hoffman links everyone, so they are left out of the graph.

All Works

8 of 8 papers shown
#Work
1 20072
2 200493
3 20034
4 200328
5
A survey of visualizations for high-dimensional data mining
200161
6
Table visualizations: a formal model and its applications
200045
7 199997
8
[Malignant lymphoma with centrofollicular cells associated with pseudomyelomatous lytic bone lesions].
19870

About Patrick Hoffman

Patrick Hoffman is a scholar working on Computer Graphics and Computer-Aided Design, Computational Theory and Mathematics, Computer Vision and Pattern Recognition, Signal Processing and Organic Chemistry, having authored 8 papers that have together received 330 indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (3 papers), Data Visualization and Analytics (3 papers), Synthesis and biological activity (2 papers), Gene expression and cancer classification (2 papers), Click Chemistry and Applications (1 paper), Bone health and treatments (1 paper), Radiopharmaceutical Chemistry and Applications (1 paper) and Microbial Natural Products and Biosynthesis (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 (126 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, Journal of Chemical Information and Computer Sciences, ChemInform, PubMed and Morgan Kaufmann Publishers Inc. eBooks.

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.

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