Nick Cramer
Impact in
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- Data Visualization and Analytics
- Video Analysis and Summarization
- Image Retrieval and Classification Techniques
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- Advanced Text Analysis Techniques
- Semantic Web and Ontologies
- Explainable Artificial Intelligence (XAI)
Papers in
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- Data Visualization and Analytics 5
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- Advanced Text Analysis Techniques 3
- Topic Modeling 1
- Co-authors
- Kristin Cook (4 shared papers)Russ Burtner (3 shared papers)Alex Endert (3 shared papers)S. Havre (2 shared papers)Manmohan Singhal (2 shared papers)Alan Turner (2 shared papers)Anuj Shah (2 shared papers)J. Joshua Thomas (2 shared papers)
- Journals
- Information Visualization (1 paper)IEEE Transactions on Visualization and Computer Graphics (1 paper)University of North Texas Digital Library (University of North Texas) (1 paper)
- Partner nations
- United StatesGermany
In The Last Decade
Nick Cramer
10 papers receiving 171 citations
Peers
Comparison fields: 5 of 43
- Computer Vision and Pattern Recognition 128
- Artificial Intelligence 81
- Statistical and Nonlinear Physics 30
- Information Systems and Management 14
- Signal Processing 21
Countries citing papers authored by Nick Cramer
This map shows the geographic impact of Nick Cramer'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 Nick Cramer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nick Cramer more than expected).
Fields of papers citing papers by Nick Cramer
This network shows the impact of papers produced by Nick Cramer. 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 Nick Cramer. The network helps show where Nick Cramer may publish in the future.
Co-authors
The 25 scholars most cited alongside Nick Cramer, 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 | 2016 | 42 | |
| 2 | 2004 | 34 | |
| 3 | 2015 | 30 | |
| 4 | 2005 | 23 | |
| 5 | Visual Analysis of Weblog Content | 2007 | 15 |
| 6 | 2013 | 11 | |
| 7 | 2018 | 10 | |
| 8 | 2005 | 6 | |
| 9 | 2009 | 6 | |
| 10 | 2004 | 5 |
About Nick Cramer
Nick Cramer is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Information Systems, Signal Processing and Computer Networks and Communications, having authored 10 papers that have together received 182 indexed citations. Recurring topics across this work include Data Visualization and Analytics (5 papers), Advanced Text Analysis Techniques (3 papers), Data Management and Algorithms (2 papers), Web Data Mining and Analysis (1 paper), Advanced Database Systems and Queries (1 paper), Species Distribution and Climate Change (1 paper), Geographic Information Systems Studies (1 paper) and Topic Modeling (1 paper). The work is most often cited by research in Computer Vision and Pattern Recognition (128 citations), Artificial Intelligence (81 citations), Statistical and Nonlinear Physics (30 citations), Information Systems and Management (14 citations) and Signal Processing (21 citations). Nick Cramer has collaborated with scholars based in United States and Germany. Frequent co-authors include Kristin Cook, Russ Burtner, Alex Endert, S. Havre, Manmohan Singhal, Alan Turner, Anuj Shah, J. Joshua Thomas, Beth Hetzler and Samuel Payne. Their work appears in journals such as Information Visualization, IEEE Transactions on Visualization and Computer Graphics and University of North Texas Digital Library (University of North Texas).
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.