Alberto Bailoni
Impact in
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- Advanced Electron Microscopy Techniques and Applications
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- Cell Image Analysis Techniques
Papers in
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- Spatial and Panel Data Analysis 2
- Economics of Agriculture and Food Markets 1
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- Single-cell and spatial transcriptomics 1
- Co-authors
- Anna Kreshuk (2 shared papers)Constantin Pape (2 shared papers)Fred A. Hamprecht (3 shared papers)Luca Amendola (2 shared papers)A. Spurio Mancini (2 shared papers)Steffen Wolf (2 shared papers)Nasim Rahaman (1 shared paper)Ullrich Köthe (1 shared paper)
- Journals
- IEEE Transactions on Pattern Analysis and Machine Intelligence (1 paper)Monthly Notices of the Royal Astronomical Society (1 paper)Cell (1 paper)2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (1 paper)arXiv (Cornell University) (2 papers)
- Partner nations
- GermanyUnited Kingdom
In The Last Decade
Alberto Bailoni
6 papers receiving 58 citations
Peers
Comparison fields: 5 of 33
- Structural Biology 7
- Biophysics 12
- Astronomy and Astrophysics 14
- Computer Vision and Pattern Recognition 14
- Media Technology 5
Countries citing papers authored by Alberto Bailoni
This map shows the geographic impact of Alberto Bailoni'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 Alberto Bailoni with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Alberto Bailoni more than expected).
Fields of papers citing papers by Alberto Bailoni
This network shows the impact of papers produced by Alberto Bailoni. 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 Alberto Bailoni. The network helps show where Alberto Bailoni may publish in the future.
Co-authors
The 14 scholars most cited alongside Alberto Bailoni, 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 | 2020 | 25 | |
| 2 | 2017 | 15 | |
| 3 | 2022 | 9 | |
| 4 | 2025 | 7 | |
| 5 | Improving the galaxy clustering Fisher matrix: window function, bin cross-correlation, and bin redshift uncertainty | 2016 | 1 |
| 6 | DISCo for the CIA: Deep learning, Instance Segmentation, and Correlations for Calcium Imaging Analysis | 2019 | 1 |
About Alberto Bailoni
Alberto Bailoni is a scholar working on Economics and Econometrics, Molecular Biology, Astronomy and Astrophysics, Computer Vision and Pattern Recognition and Cognitive Neuroscience, having authored 6 papers that have together received 58 indexed citations. Recurring topics across this work include Spatial and Panel Data Analysis (2 papers), Advanced Proteomics Techniques and Applications (1 paper), Advanced Clustering Algorithms Research (1 paper), Medical Image Segmentation Techniques (1 paper), Economics of Agriculture and Food Markets (1 paper), Neural dynamics and brain function (1 paper), Single-cell and spatial transcriptomics (1 paper) and Advanced Image and Video Retrieval Techniques (1 paper). The work is most often cited by research in Structural Biology (7 citations), Biophysics (12 citations), Astronomy and Astrophysics (14 citations), Computer Vision and Pattern Recognition (14 citations) and Media Technology (5 citations). Alberto Bailoni has collaborated with scholars based in Germany and United Kingdom. Frequent co-authors include Anna Kreshuk, Constantin Pape, Fred A. Hamprecht, Luca Amendola, A. Spurio Mancini, Steffen Wolf, Nasim Rahaman, Ullrich Köthe, Theodore Alexandrov and Jeany Delafiori. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Monthly Notices of the Royal Astronomical Society, Cell, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) and arXiv (Cornell University).
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.