Johan Philip
Impact in
- Numerical Analysis top 5%
- Advanced Optimization Algorithms Research
- Biophysics top 2%
- Advanced Fluorescence Microscopy Techniques
Papers in
-
- Image and Signal Denoising Methods 4
- Optical measurement and interference techniques 2
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- Point processes and geometric inequalities 3
- Co-authors
- Kjell Carlsson (6 shared papers)J. H. Knight (1 shared paper)Karin Mossberg (3 shared papers)J. P. Sprengers (2 shared papers)C. A. de Lange (2 shared papers)W. Ubachs (2 shared papers)N. Åslund (2 shared papers)E. Reinhold (1 shared paper)
- Journals
- Mathematical Programming (3 papers)Mathematics of Computation (2 papers)Inverse Problems (2 papers)Probability Theory and Related Fields (2 papers)IEEE Transactions on Pattern Analysis and Machine Intelligence (2 papers)
- Partner nations
- SwedenUnited StatesAustralia
In The Last Decade
Johan Philip
26 papers receiving 585 citations
Peers
Comparison fields: 5 of 99
- Numerical Analysis 140
- Biophysics 146
- Instrumentation 46
- Structural Biology 13
- Computational Theory and Mathematics 139
Countries citing papers authored by Johan Philip
This map shows the geographic impact of Johan Philip'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 Johan Philip with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Johan Philip more than expected).
Fields of papers citing papers by Johan Philip
This network shows the impact of papers produced by Johan Philip. 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 Johan Philip. The network helps show where Johan Philip may publish in the future.
Co-authors
The 12 scholars most cited alongside Johan Philip, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 29 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1972 | 186 | |
| 2 | 2003 | 113 | |
| 3 | 1974 | 87 | |
| 4 | 1996 | 53 | |
| 5 | 2004 | 38 | |
| 6 | 1991 | 34 | |
| 7 | 1994 | 27 | |
| 8 | 2002 | 22 | |
| 9 | 1999 | 12 | |
| 10 | 2004 | 10 | |
| 11 | 1992 | 8 | |
| 12 | 1963 | 7 | |
| 13 | 1977 | 7 | |
| 14 | 1979 | 6 | |
| 15 | 1988 | 6 | |
| 16 | 1972 | 5 | |
| 17 | 1987 | 5 | |
| 18 | The Area of a Random Convex Polygon | 2004 | 4 |
| 19 | 1985 | 3 | |
| 20 | 1973 | 3 |
About Johan Philip
Johan Philip is a scholar working on Computer Vision and Pattern Recognition, Applied Mathematics, Biophysics, Biomedical Engineering and Numerical Analysis, having authored 29 papers that have together received 648 indexed citations. Recurring topics across this work include Advanced Fluorescence Microscopy Techniques (5 papers), Photoacoustic and Ultrasonic Imaging (4 papers), Image and Signal Denoising Methods (4 papers), Point processes and geometric inequalities (3 papers), Advanced Optimization Algorithms Research (3 papers), Optical measurement and interference techniques (2 papers), Optical Imaging and Spectroscopy Techniques (2 papers) and Hemodynamic Monitoring and Therapy (2 papers). The work is most often cited by research in Numerical Analysis (140 citations), Biophysics (146 citations), Instrumentation (46 citations), Structural Biology (13 citations) and Computational Theory and Mathematics (139 citations). Johan Philip has collaborated with scholars based in Sweden, United States and Australia. Frequent co-authors include Kjell Carlsson, J. H. Knight, Karin Mossberg, J. P. Sprengers, C. A. de Lange, W. Ubachs, N. Åslund, E. Reinhold, P. Cacciani and Ove Söderström. Their work appears in journals such as Mathematical Programming, Mathematics of Computation, Inverse Problems, Probability Theory and Related Fields and IEEE Transactions on Pattern Analysis and Machine Intelligence.
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.