Ryan Hafen
Impact in
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- Data Visualization and Analytics
- Signal Processing top 10%
- Data Management and Algorithms
Papers in
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- Anomaly Detection Techniques and Applications 5
- Data Analysis with R 4
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- Energy Load and Power Forecasting 6
- Electric Power System Optimization 6
- Co-authors
- William S. Cleveland (10 shared papers)Valerie Daggett (1 shared paper)Joshua Adkins (1 shared paper)Steven J. Rysavy (1 shared paper)Eric Merkley (1 shared paper)Abdullah Kahraman (1 shared paper)David S. Ebert (6 shared papers)Ross Maciejewski (6 shared papers)
- Journals
- IEEE Transactions on Visualization and Computer Graphics (3 papers)Multimedia Systems (1 paper)Statistics in Medicine (1 paper)BMC Medical Informatics and Decision Making (1 paper)Protein Science (1 paper)
- Partner nations
- United StatesUnited KingdomPoland
In The Last Decade
Ryan Hafen
30 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 160
- Computer Vision and Pattern Recognition 174
- Signal Processing 82
- Parasitology 40
- Transportation 39
- Geography, Planning and Development 33
Countries citing papers authored by Ryan Hafen
This map shows the geographic impact of Ryan Hafen'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 Ryan Hafen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ryan Hafen more than expected).
Fields of papers citing papers by Ryan Hafen
This network shows the impact of papers produced by Ryan Hafen. 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 Ryan Hafen. The network helps show where Ryan Hafen may publish in the future.
Co-authors
The 25 scholars most cited alongside Ryan Hafen, 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 30 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 239 | |
| 2 | 2014 | 163 | |
| 3 | 2012 | 158 | |
| 4 | 2009 | 115 | |
| 5 | 2012 | 70 | |
| 6 | 2010 | 62 | |
| 7 | 2009 | 47 | |
| 8 | 2012 | 30 | |
| 9 | 2013 | 25 | |
| 10 | 2018 | 20 | |
| 11 | 2008 | 20 | |
| 12 | 2009 | 19 | |
| 13 | 2011 | 19 | |
| 14 | 2013 | 15 | |
| 15 | Visualization Databases for the Analysis of Large Complex Datasets | 2009 | 14 |
| 16 | 2014 | 14 | |
| 17 | 2012 | 12 | |
| 18 | Local regression models: Advancements, applications, and new methods | 2010 | 11 |
| 19 | 2012 | 10 | |
| 20 | 2011 | 9 |
About Ryan Hafen
Ryan Hafen is a scholar working on Artificial Intelligence, Electrical and Electronic Engineering, Computer Vision and Pattern Recognition, Epidemiology and Signal Processing, having authored 30 papers that have together received 1.1k indexed citations. Recurring topics across this work include Data Visualization and Analytics (6 papers), Energy Load and Power Forecasting (6 papers), Electric Power System Optimization (6 papers), Anomaly Detection Techniques and Applications (5 papers), Data-Driven Disease Surveillance (5 papers), Data Analysis with R (4 papers), Power System Reliability and Maintenance (3 papers) and Species Distribution and Climate Change (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (174 citations), Signal Processing (82 citations), Parasitology (40 citations), Transportation (39 citations) and Geography, Planning and Development (33 citations). Ryan Hafen has collaborated with scholars based in United States, United Kingdom and Poland. Frequent co-authors include William S. Cleveland, Valerie Daggett, Joshua Adkins, Steven J. Rysavy, Eric Merkley, Abdullah Kahraman, David S. Ebert, Ross Maciejewski, Raphael Cuomo and Tim K. Mackey. Their work appears in journals such as IEEE Transactions on Visualization and Computer Graphics, Multimedia Systems, Statistics in Medicine, BMC Medical Informatics and Decision Making and Protein Science.
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.