Daniel Haehn
Impact in
- Structural Biology top 5%
- Advanced Electron Microscopy Techniques and Applications
- Biophysics top 5%
- Cell Image Analysis Techniques
- Advanced Fluorescence Microscopy Techniques
Papers in
-
- Data Visualization and Analytics 5
- Visual Attention and Saliency Detection 3
- Biophysics 11
- Cell Image Analysis Techniques 10
- Co-authors
- Hanspeter Pfister (14 shared papers)James Tompkin (3 shared papers)Jeff W. Lichtman (6 shared papers)P. Ellen Grant (3 shared papers)Narayanan Kasthuri (3 shared papers)Johanna Beyer (3 shared papers)Rudolph Pienaar (2 shared papers)V.S. Caviness (1 shared paper)
- Journals
- IEEE Transactions on Visualization and Computer Graphics (4 papers)Microscopy and Microanalysis (2 papers)Cerebral Cortex (2 papers)Informatics (2 papers)Journal of Biomedical Optics (1 paper)
- Partner nations
- United StatesSwitzerlandSaudi Arabia
In The Last Decade
Daniel Haehn
26 papers receiving 352 citations
Peers
Comparison fields: 5 of 94
- Structural Biology 32
- Biophysics 82
- Computer Vision and Pattern Recognition 110
- Health Informatics 6
- Cognitive Neuroscience 86
Countries citing papers authored by Daniel Haehn
This map shows the geographic impact of Daniel Haehn'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 Daniel Haehn with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Haehn more than expected).
Fields of papers citing papers by Daniel Haehn
This network shows the impact of papers produced by Daniel Haehn. 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 Daniel Haehn. The network helps show where Daniel Haehn may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniel Haehn, 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 31 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 67 | |
| 2 | 2018 | 37 | |
| 3 | 2015 | 35 | |
| 4 | 2015 | 32 | |
| 5 | 2014 | 31 | |
| 6 | 2020 | 24 | |
| 7 | 2017 | 16 | |
| 8 | Fast Mitochondria Detection for Connectomics | 2020 | 12 |
| 9 | 2020 | 12 | |
| 10 | 2018 | 11 | |
| 11 | 2020 | 10 | |
| 12 | 2016 | 10 | |
| 13 | 2013 | 9 | |
| 14 | 2019 | 9 | |
| 15 | 2014 | 8 | |
| 16 | 2016 | 7 | |
| 17 | 2017 | 6 | |
| 18 | 2024 | 5 | |
| 19 | 2023 | 4 | |
| 20 | 2022 | 3 |
About Daniel Haehn
Daniel Haehn is a scholar working on Computer Vision and Pattern Recognition, Biophysics, Radiology, Nuclear Medicine and Imaging, Cognitive Neuroscience and Molecular Biology, having authored 31 papers that have together received 357 indexed citations. Recurring topics across this work include Cell Image Analysis Techniques (10 papers), Data Visualization and Analytics (5 papers), Functional Brain Connectivity Studies (4 papers), Advanced Neuroimaging Techniques and Applications (3 papers), Visual Attention and Saliency Detection (3 papers), Neural dynamics and brain function (3 papers), Advanced X-ray Imaging Techniques (2 papers) and Distributed and Parallel Computing Systems (2 papers). The work is most often cited by research in Structural Biology (32 citations), Biophysics (82 citations), Computer Vision and Pattern Recognition (110 citations), Health Informatics (6 citations) and Cognitive Neuroscience (86 citations). Daniel Haehn has collaborated with scholars based in United States, Switzerland and Saudi Arabia. Frequent co-authors include Hanspeter Pfister, James Tompkin, Jeff W. Lichtman, P. Ellen Grant, Narayanan Kasthuri, Johanna Beyer, Rudolph Pienaar, V.S. Caviness, April A. Benasich and Matthew Gregas. Their work appears in journals such as IEEE Transactions on Visualization and Computer Graphics, Microscopy and Microanalysis, Cerebral Cortex, Informatics and Journal of Biomedical Optics.
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.