Beth Hetzler
Impact in
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- Data Visualization and Analytics
- Video Analysis and Summarization
- Image Retrieval and Classification Techniques
- Signal Processing top 5%
- Data Management and Algorithms
- Time Series Analysis and Forecasting
Papers in
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- Data Visualization and Analytics 5
- Video Analysis and Summarization 2
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- Digital Humanities and Scholarship 2
- Co-authors
- S. Havre (4 shared papers)Lucy Nowell (2 shared papers)Paul Whitney (2 shared papers)J. Joshua Thomas (3 shared papers)Leonardo A. Martucci (1 shared paper)Nancy E. Miller (1 shared paper)Manmohan Singhal (2 shared papers)Anuj Shah (2 shared papers)
- Partner nations
- United StatesUnited Kingdom
In The Last Decade
Beth Hetzler
8 papers receiving 388 citations
Peers
Comparison fields: 5 of 67
- Computer Vision and Pattern Recognition 329
- Signal Processing 103
- Statistical and Nonlinear Physics 73
- Artificial Intelligence 145
- Computer Graphics and Computer-Aided Design 13
Countries citing papers authored by Beth Hetzler
This map shows the geographic impact of Beth Hetzler'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 Beth Hetzler with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Beth Hetzler more than expected).
Fields of papers citing papers by Beth Hetzler
This network shows the impact of papers produced by Beth Hetzler. 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 Beth Hetzler. The network helps show where Beth Hetzler may publish in the future.
Co-authors
The 13 scholars most cited alongside Beth Hetzler, 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 | 2002 | 280 | |
| 2 | 2004 | 34 | |
| 3 | 2002 | 34 | |
| 4 | 1997 | 27 | |
| 5 | 2005 | 23 | |
| 6 | ThemeRiver*: In Search of Trends, Patterns, and Relationships | 1999 | 7 |
| 7 | 2004 | 4 | |
| 8 | 1997 | 2 |
About Beth Hetzler
Beth Hetzler is a scholar working on Computer Vision and Pattern Recognition, Literature and Literary Theory, Artificial Intelligence, Computer Networks and Communications and Health, Toxicology and Mutagenesis, having authored 8 papers that have together received 411 indexed citations. Recurring topics across this work include Data Visualization and Analytics (5 papers), Video Analysis and Summarization (2 papers), Digital Humanities and Scholarship (2 papers), Multi-Agent Systems and Negotiation (1 paper), Artificial Intelligence in Games (1 paper), Climate Change and Health Impacts (1 paper), Child Nutrition and Water Access (1 paper) and Global Public Health Policies and Epidemiology (1 paper). The work is most often cited by research in Computer Vision and Pattern Recognition (329 citations), Signal Processing (103 citations), Statistical and Nonlinear Physics (73 citations), Artificial Intelligence (145 citations) and Computer Graphics and Computer-Aided Design (13 citations). Beth Hetzler has collaborated with scholars based in United States and United Kingdom. Frequent co-authors include S. Havre, Lucy Nowell, Paul Whitney, J. Joshua Thomas, Leonardo A. Martucci, Nancy E. Miller, Manmohan Singhal, Anuj Shah, Pak Chung Wong and Christian Posse. Their work appears in journals such as ACM SIGIR Forum and Natural Resources Forum.
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.