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
Papers in
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- Data Visualization and Analytics 7
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- Advanced Text Analysis Techniques 4
- Semantic Web and Ontologies 2
- Co-authors
- Kristin Cook (4 shared papers)Russ Burtner (3 shared papers)Alex Endert (4 shared papers)Mark Whiting (2 shared papers)Anuj Shah (2 shared papers)Manmohan Singhal (2 shared papers)J. Joshua Thomas (2 shared papers)Joon‐Yong Lee (1 shared paper)
- Journals
- IEEE Transactions on Visualization and Computer Graphics (1 paper)Information Visualization (1 paper)Lecture notes in computer science (3 papers)University of North Texas Digital Library (University of North Texas) (1 paper)
- Partner nations
- United StatesGermany
In The Last Decade
Nick Cramer
13 papers receiving 193 citations
Peers
Comparison fields: 5 of 44
- Computer Vision and Pattern Recognition 141
- Artificial Intelligence 96
- Statistical and Nonlinear Physics 32
- Signal Processing 26
- Information Systems and Management 15
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 | 44 | |
| 2 | 2004 | 35 | |
| 3 | 2015 | 31 | |
| 4 | 2005 | 23 | |
| 5 | Visual Analysis of Weblog Content | 2007 | 18 |
| 6 | 2013 | 12 | |
| 7 | 2018 | 11 | |
| 8 | 2005 | 7 | |
| 9 | 2004 | 7 | |
| 10 | 2009 | 7 | |
| 11 | 2002 | 6 | |
| 12 | 2004 | 3 | |
| 13 | 2017 | 2 |
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 13 papers that have together received 206 indexed citations. Recurring topics across this work include Data Visualization and Analytics (7 papers), Advanced Text Analysis Techniques (4 papers), Web Data Mining and Analysis (2 papers), Semantic Web and Ontologies (2 papers), Data Management and Algorithms (2 papers), Interactive and Immersive Displays (1 paper), Advanced Database Systems and Queries (1 paper) and Virtual Reality Applications and Impacts (1 paper). The work is most often cited by research in Computer Vision and Pattern Recognition (141 citations), Artificial Intelligence (96 citations), Statistical and Nonlinear Physics (32 citations), Signal Processing (26 citations) and Information Systems and Management (15 citations). Nick Cramer has collaborated with scholars based in United States and Germany. Frequent co-authors include Kristin Cook, Russ Burtner, Alex Endert, Mark Whiting, Anuj Shah, Manmohan Singhal, J. Joshua Thomas, Joon‐Yong Lee, Beth Hetzler and Alan Turner. Their work appears in journals such as IEEE Transactions on Visualization and Computer Graphics, Information Visualization, Lecture notes in computer science 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.