Joakim Lindblad
- Computer Vision and Pattern Recognition top 2%
- Biophysics top 1%
- Molecular Biology
- Artificial Intelligence top 10%
- Media Technology top 2%
- Co-authors
- Nataša SladojeEwert BengtssonCarolina WählbyLennart BjörkestenRizwan QaisarLars LarssonFilip MalmbergAlexander Cristea
- Topics
- Medical Image Segmentation Techniques (25 papers)Cell Image Analysis Techniques (15 papers)Digital Image Processing Techniques (13 papers)
- Partner nations
- SwedenSerbiaUnited States
In The Last Decade
Joakim Lindblad
64 papers receiving 884 citations
Peers
Comparison fields: 5 of 128
- Computer Vision and Pattern Recognition 388
- Biophysics 257
- Molecular Biology 212
- Artificial Intelligence 176
- Media Technology 164
Countries citing papers authored by Joakim Lindblad
This map shows the geographic impact of Joakim Lindblad'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 Joakim Lindblad with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Joakim Lindblad more than expected).
Fields of papers citing papers by Joakim Lindblad
This network shows the impact of papers produced by Joakim Lindblad. 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 Joakim Lindblad. The network helps show where Joakim Lindblad may publish in the future.
Co-authorship network of co-authors of Joakim Lindblad
This figure shows the co-authorship network connecting the top 25 collaborators of Joakim Lindblad. A scholar is included among the top collaborators of Joakim Lindblad based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Joakim Lindblad. Joakim Lindblad is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 2 | |
| 3 | 2 | |
| 4 | 3 | |
| 5 | 1 | |
| 6 | 2 | |
| 7 | 15 | |
| 8 | 17 | |
| 9 | CoMIR: Contrastive Multimodal Image Representation for Registration | 2 |
| 10 | 69 | |
| 11 | The Coverage Model and Its Use in Image Processing | 4 |
| 12 | Precise estimation of the projection of a shape from a pixel coverage representation | 2 |
| 13 | 27 | |
| 14 | 5 | |
| 15 | 25 | |
| 16 | 61 | |
| 17 | 59 | |
| 18 | 108 | |
| 19 | Multiple tissue antigen analysis by sequential immunofluorescence staining and multi-dimensional image analysis | 4 |
| 20 | A Comparison of Methods for Estimation of Intensity Non-Uniformities in 2D and 3D Microscope Images of Fluorescence Stained Cells | 25 |
About Joakim Lindblad
Joakim Lindblad is a scholar working on Biophysics, Computer Vision and Pattern Recognition and Media Technology, having authored 65 papers that have together received 930 indexed citations. Recurring topics across this work include Medical Image Segmentation Techniques (25 papers), Cell Image Analysis Techniques (15 papers) and Digital Image Processing Techniques (13 papers). The work is most often cited by research in Biophysics (257 citations), Computer Vision and Pattern Recognition (388 citations) and Media Technology (164 citations). Joakim Lindblad has collaborated with scholars based in Sweden, Serbia and United States. Frequent co-authors include Nataša Sladoje, Ewert Bengtsson, Carolina Wählby, Lennart Björkesten, Rizwan Qaisar, Lars Larsson, Filip Malmberg, Alexander Cristea, C. Busch and Milan Gavrilović. Their work appears in journals such as PLoS ONE, IEEE Transactions on Pattern Analysis and Machine Intelligence and Scientific Reports.
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.