Michael Hund
Impact in
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- Data Visualization and Analytics
- Video Analysis and Summarization
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- Skin and Cellular Biology Research
Papers in
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- Data Visualization and Analytics 10
- Video Analysis and Summarization 2
- Image Retrieval and Classification Techniques 2
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- Data Analysis with R 2
- Co-authors
- Daniel A. Keim (11 shared papers)Tobias Schreck (8 shared papers)Christian Rohrdantz (5 shared papers)Hjalmar Lagast (1 shared paper)Nita Patel (1 shared paper)Anna L. Bruckner (1 shared paper)Dédée F. Murrell (1 shared paper)A. Reha (1 shared paper)
- Journals
- Brain Informatics (1 paper)ACM Transactions on Computing Education (1 paper)Orphanet Journal of Rare Diseases (1 paper)Computer Graphics Forum (1 paper)IEEE Transactions on Visualization and Computer Graphics (1 paper)
- Partner nations
- GermanyAustriaUnited States
In The Last Decade
Michael Hund
17 papers receiving 261 citations
Peers
Comparison fields: 5 of 95
- Computer Vision and Pattern Recognition 89
- Cell Biology 60
- Health Informatics 3
- Health Information Management 9
- Artificial Intelligence 71
Countries citing papers authored by Michael Hund
This map shows the geographic impact of Michael Hund'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 Michael Hund with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael Hund more than expected).
Fields of papers citing papers by Michael Hund
This network shows the impact of papers produced by Michael Hund. 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 Michael Hund. The network helps show where Michael Hund may publish in the future.
Co-authors
The 25 scholars most cited alongside Michael Hund, 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 | 95 | |
| 2 | 2016 | 43 | |
| 3 | Getting there first : real-time detection of real-world incidents on Twitter | 2012 | 26 |
| 4 | 2016 | 24 | |
| 5 | 2016 | 23 | |
| 6 | 2012 | 12 | |
| 7 | 2015 | 9 | |
| 8 | 2015 | 7 | |
| 9 | 2021 | 6 | |
| 10 | HistoBankVis : Detecting Language Change via Data Visualization | 2017 | 5 |
| 11 | 2014 | 4 | |
| 12 | 2016 | 4 | |
| 13 | Visual Analytics for the Prediction of Movie Rating and Box Office Performance | 2013 | 4 |
| 14 | Visual Quality Assessment of Subspace Clusterings | 2016 | 3 |
| 15 | 2013 | 2 | |
| 16 | 2017 | 1 | |
| 17 | MooVis -- A Visual Analytics Tool for the Prediction of Movie Viewer Ratings and Boxoffice | 2013 | 1 |
About Michael Hund
Michael Hund is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Molecular Biology, Statistical and Nonlinear Physics and Signal Processing, having authored 17 papers that have together received 269 indexed citations. Recurring topics across this work include Data Visualization and Analytics (10 papers), Complex Network Analysis Techniques (3 papers), Media Influence and Health (2 papers), Data Analysis with R (2 papers), Video Analysis and Summarization (2 papers), Biomedical Text Mining and Ontologies (2 papers), Image Retrieval and Classification Techniques (2 papers) and Data Management and Algorithms (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (89 citations), Cell Biology (60 citations), Health Informatics (3 citations), Health Information Management (9 citations) and Artificial Intelligence (71 citations). Michael Hund has collaborated with scholars based in Germany, Austria and United States. Frequent co-authors include Daniel A. Keim, Tobias Schreck, Christian Rohrdantz, Hjalmar Lagast, Nita Patel, Anna L. Bruckner, Dédée F. Murrell, A. Reha, Miloš Krstajić and Andreas Weiler. Their work appears in journals such as Brain Informatics, ACM Transactions on Computing Education, Orphanet Journal of Rare Diseases, Computer Graphics Forum and IEEE Transactions on Visualization and Computer Graphics.
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.