Patrick Hoffman

514 citations
6 papers · 379 · h-index 5

Impact in

Papers in

Journals
Annals of the New York Academy of Sciences (1 paper)Morgan Kaufmann Publishers Inc. eBooks (1 paper)Proceedings-- IEEE International Symposium on Bioinformatics and Bioengineering (1 paper)Journal of Chemical Information and Computer Sciences (1 paper)
Partner nations
United States

In The Last Decade

Patrick Hoffman

6 papers receiving 350 citations

Peers

Patrick Hoffman
Comparison fields: 5 of 70
  • Computer Vision and Pattern Recognition 198
  • Health Information Management 29
  • Artificial Intelligence 57
  • Computational Theory and Mathematics 26
  • Information Systems 25
Replace Bei Yang with:
Bei Yang China
Shahzad Mumtaz Pakistan
Ajay Kumar Jaiswal India
Hua Wang Shi China
Ali Ahmed Saudi Arabia
Buket Kaya Türkiye
Melanie Osl Austria
Vasundhara Acharya India
Igor Gurevich Russia
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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-authors

The 3 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

6 of 6 papers shown
#Work
1 1999114
2 2004113
3
A survey of visualizations for high-dimensional data mining
200173
4
Table visualizations: a formal model and its applications
200047
5 200330
6 20072

About Patrick Hoffman

Patrick Hoffman is a scholar working on Computer Vision and Pattern Recognition, Computational Theory and Mathematics, Computer Graphics and Computer-Aided Design, Computer Networks and Communications and Molecular Biology, having authored 6 papers that have together received 379 indexed citations. Recurring topics across this work include Data Visualization and Analytics (3 papers), Computational Drug Discovery Methods (2 papers), Gene expression and cancer classification (2 papers), Advanced Database Systems and Queries (1 paper) and Computer Graphics and Visualization Techniques (1 paper). The work is most often cited by research in Computer Vision and Pattern Recognition (198 citations), Health Information Management (29 citations), Artificial Intelligence (57 citations), Computational Theory and Mathematics (26 citations) and Information Systems (25 citations). Patrick Hoffman has collaborated with scholars based in United States. Frequent co-authors include Georges Grinstein, Kenneth A. Marx and John R. Hotchkiss. Their work appears in journals such as Annals of the New York Academy of Sciences, Morgan Kaufmann Publishers Inc. eBooks, Proceedings-- IEEE International Symposium on Bioinformatics and Bioengineering 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.

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