Gabriel Lipkowitz
Impact in
- Automotive Engineering top 5%
- Additive Manufacturing and 3D Printing Technologies
- Hepatology top 10%
- Hepatitis C virus research
Papers in
-
- Additive Manufacturing and 3D Printing Technologies 7
-
- 3D Printing in Biomedical Research 3
- Innovative Microfluidic and Catalytic Techniques Innovation 2
- Co-authors
- Joseph M. DeSimone (8 shared papers)Kaiwen Hsiao (4 shared papers)Brian J. Lee (3 shared papers)Eric S. G. Shaqfeh (8 shared papers)Maria T. Dulay (4 shared papers)Harrison W. Lin (1 shared paper)Anil Shrirao (2 shared papers)Alexander Ploß (2 shared papers)
- Journals
- Proceedings of the National Academy of Sciences (2 papers)Science Advances (2 papers)Nature Communications (1 paper)Additive manufacturing (1 paper)Hepatology (1 paper)
- Partner nations
- United StatesSouth KoreaNorway
In The Last Decade
Gabriel Lipkowitz
15 papers receiving 357 citations
Peers
Comparison fields: 5 of 76
- Automotive Engineering 147
- Hepatology 50
- Biomedical Engineering 150
- Human-Computer Interaction 13
- Epidemiology 71
Countries citing papers authored by Gabriel Lipkowitz
This map shows the geographic impact of Gabriel Lipkowitz'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 Gabriel Lipkowitz with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gabriel Lipkowitz more than expected).
Fields of papers citing papers by Gabriel Lipkowitz
This network shows the impact of papers produced by Gabriel Lipkowitz. 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 Gabriel Lipkowitz. The network helps show where Gabriel Lipkowitz may publish in the future.
Co-authors
The 25 scholars most cited alongside Gabriel Lipkowitz, 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 | 2022 | 103 | |
| 2 | 2022 | 68 | |
| 3 | 2017 | 46 | |
| 4 | 2022 | 36 | |
| 5 | 2019 | 33 | |
| 6 | 2019 | 30 | |
| 7 | 2024 | 16 | |
| 8 | 2024 | 8 | |
| 9 | 2023 | 5 | |
| 10 | 2024 | 4 | |
| 11 | 2021 | 3 | |
| 12 | 2024 | 3 | |
| 13 | 2022 | 3 | |
| 14 | 2025 | 1 | |
| 15 | 2023 | 1 |
About Gabriel Lipkowitz
Gabriel Lipkowitz is a scholar working on Automotive Engineering, Biomedical Engineering, Human-Computer Interaction, Electrical and Electronic Engineering and Computer Vision and Pattern Recognition, having authored 15 papers that have together received 360 indexed citations. Recurring topics across this work include Additive Manufacturing and 3D Printing Technologies (7 papers), Interactive and Immersive Displays (3 papers), 3D Printing in Biomedical Research (3 papers), Hepatitis B Virus Studies (2 papers), Hepatitis C virus research (2 papers), Electrowetting and Microfluidic Technologies (2 papers), Computer Graphics and Visualization Techniques (2 papers) and Innovative Microfluidic and Catalytic Techniques Innovation (2 papers). The work is most often cited by research in Automotive Engineering (147 citations), Hepatology (50 citations), Biomedical Engineering (150 citations), Human-Computer Interaction (13 citations) and Epidemiology (71 citations). Gabriel Lipkowitz has collaborated with scholars based in United States, South Korea and Norway. Frequent co-authors include Joseph M. DeSimone, Kaiwen Hsiao, Brian J. Lee, Eric S. G. Shaqfeh, Maria T. Dulay, Harrison W. Lin, Anil Shrirao, Alexander Ploß, Eric Novik and Benjamin Y. Winer. Their work appears in journals such as Proceedings of the National Academy of Sciences, Science Advances, Nature Communications, Additive manufacturing and Hepatology.
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.