Patrick Paczkowski
Impact in
- Oncology top 10%
- CAR-T cell therapy research
- Cancer Immunotherapy and Biomarkers
- Human-Computer Interaction top 10%
- Interactive and Immersive Displays
Papers in
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- Computer Graphics and Visualization Techniques 3
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- Interactive and Immersive Displays 3
- Co-authors
- Sean Mackay (7 shared papers)Jing Zhou (6 shared papers)Colin Ng (5 shared papers)Alaina Kaiser (2 shared papers)Rong Fan (2 shared papers)James R. Heath (2 shared papers)Kevin J. Morse (3 shared papers)Brianna Flynn (3 shared papers)
- Journals
- Blood (2 papers)Frontiers in Immunology (1 paper)BMC Neurology (1 paper)IEEE Transactions on Visualization and Computer Graphics (1 paper)Clinical & Experimental Immunology (1 paper)
- Partner nations
- United StatesIrelandSouth Korea
In The Last Decade
Patrick Paczkowski
12 papers receiving 641 citations
Peers
Comparison fields: 5 of 62
- Oncology 306
- Human-Computer Interaction 52
- Neurology 87
- Computer Graphics and Computer-Aided Design 20
- Immunology 83
Countries citing papers authored by Patrick Paczkowski
This map shows the geographic impact of Patrick Paczkowski'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 Paczkowski with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Patrick Paczkowski more than expected).
Fields of papers citing papers by Patrick Paczkowski
This network shows the impact of papers produced by Patrick Paczkowski. 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 Paczkowski. The network helps show where Patrick Paczkowski may publish in the future.
Co-authors
The 25 scholars most cited alongside Patrick Paczkowski, 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 | 2018 | 277 | |
| 2 | 2017 | 111 | |
| 3 | 2020 | 107 | |
| 4 | 2019 | 36 | |
| 5 | 2011 | 28 | |
| 6 | 2018 | 27 | |
| 7 | 2011 | 23 | |
| 8 | 2020 | 22 | |
| 9 | 2014 | 21 | |
| 10 | 2020 | 14 | |
| 11 | 2018 | 6 | |
| 12 | 2017 | 1 |
About Patrick Paczkowski
Patrick Paczkowski is a scholar working on Computer Graphics and Computer-Aided Design, Human-Computer Interaction, Oncology, Architecture and Neurology, having authored 12 papers that have together received 673 indexed citations. Recurring topics across this work include Interactive and Immersive Displays (3 papers), CAR-T cell therapy research (3 papers), Computer Graphics and Visualization Techniques (3 papers), Architecture and Computational Design (2 papers), Single-cell and spatial transcriptomics (2 papers), Data Visualization and Analytics (1 paper), Cancer Immunotherapy and Biomarkers (1 paper) and Advanced Biosensing Techniques and Applications (1 paper). The work is most often cited by research in Oncology (306 citations), Human-Computer Interaction (52 citations), Neurology (87 citations), Computer Graphics and Computer-Aided Design (20 citations) and Immunology (83 citations). Patrick Paczkowski has collaborated with scholars based in United States, Ireland and South Korea. Frequent co-authors include Sean Mackay, Jing Zhou, Colin Ng, Alaina Kaiser, Rong Fan, James R. Heath, Kevin J. Morse, Brianna Flynn, Adrian I Bot and John M. Rossi. Their work appears in journals such as Blood, Frontiers in Immunology, BMC Neurology, IEEE Transactions on Visualization and Computer Graphics and Clinical & Experimental Immunology.
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.