Michael Hund
Impact in
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- Skin and Cellular Biology Research
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- Data Visualization and Analytics
Papers in
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- Data Visualization and Analytics 9
- Video Analysis and Summarization 2
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- Data Analysis with R 2
- Advanced Text Analysis Techniques 1
- Co-authors
- Daniel A. Keim (10 shared papers)Anna L. Bruckner (1 shared paper)A. Reha (1 shared paper)Hjalmar Lagast (1 shared paper)Nita Patel (1 shared paper)Christian Rohrdantz (4 shared papers)Dédée F. Murrell (1 shared paper)Tobias Schreck (6 shared papers)
- Journals
- Computer Graphics Forum (1 paper)Orphanet Journal of Rare Diseases (1 paper)IEEE Transactions on Visualization and Computer Graphics (1 paper)Brain Informatics (1 paper)ACM Transactions on Computing Education (1 paper)
- Partner nations
- GermanyUnited StatesAustria
In The Last Decade
Michael Hund
14 papers receiving 216 citations
Peers
Comparison fields: 5 of 91
- Cell Biology 59
- Computer Vision and Pattern Recognition 72
- Urology 14
- Pathology and Forensic Medicine 35
- Computer Graphics and Computer-Aided Design 6
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 | 93 | |
| 2 | 2016 | 32 | |
| 3 | 2016 | 22 | |
| 4 | Getting there first : real-time detection of real-world incidents on Twitter | 2012 | 21 |
| 5 | 2016 | 19 | |
| 6 | 2012 | 10 | |
| 7 | 2021 | 6 | |
| 8 | HistoBankVis : Detecting Language Change via Data Visualization | 2017 | 5 |
| 9 | 2016 | 4 | |
| 10 | Visual Quality Assessment of Subspace Clusterings | 2016 | 3 |
| 11 | Visual Analytics for the Prediction of Movie Rating and Box Office Performance | 2013 | 2 |
| 12 | 2013 | 2 | |
| 13 | MooVis -- A Visual Analytics Tool for the Prediction of Movie Viewer Ratings and Boxoffice | 2013 | 1 |
| 14 | 2017 | 1 |
About Michael Hund
Michael Hund is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Statistical and Nonlinear Physics, Signal Processing and Literature and Literary Theory, having authored 14 papers that have together received 221 indexed citations. Recurring topics across this work include Data Visualization and Analytics (9 papers), Complex Network Analysis Techniques (3 papers), Data Analysis with R (2 papers), Video Analysis and Summarization (2 papers), Media Influence and Health (2 papers), Autoimmune Bullous Skin Diseases (1 paper), Advanced Text Analysis Techniques (1 paper) and Time Series Analysis and Forecasting (1 paper). The work is most often cited by research in Cell Biology (59 citations), Computer Vision and Pattern Recognition (72 citations), Urology (14 citations), Pathology and Forensic Medicine (35 citations) and Computer Graphics and Computer-Aided Design (6 citations). Michael Hund has collaborated with scholars based in Germany, United States and Austria. Frequent co-authors include Daniel A. Keim, Anna L. Bruckner, A. Reha, Hjalmar Lagast, Nita Patel, Christian Rohrdantz, Dédée F. Murrell, Tobias Schreck, Andreas Weiler and Miloš Krstajić. Their work appears in journals such as Computer Graphics Forum, Orphanet Journal of Rare Diseases, IEEE Transactions on Visualization and Computer Graphics, Brain Informatics and ACM Transactions on Computing Education.
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.