David Gotz
Impact in
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- Data Visualization and Analytics
- Video Analysis and Summarization
- Signal Processing top 2%
- Time Series Analysis and Forecasting
- Data Management and Algorithms
Papers in
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- Data Visualization and Analytics 49
- Video Analysis and Summarization 10
- Image and Video Quality Assessment 7
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- Advanced Text Analysis Techniques 13
- Data Analysis with R 9
- Co-authors
- Nan Cao (24 shared papers)Michelle X. Zhou (4 shared papers)Adam Perer (5 shared papers)Zhen Wen (1 shared paper)Jimeng Sun (10 shared papers)Krist Wongsuphasawat (2 shared papers)Harry Stavropoulos (2 shared papers)David Borland (11 shared papers)
- Journals
- IEEE Transactions on Visualization and Computer Graphics (18 papers)Information Visualization (5 papers)Journal of the American Medical Informatics Association (3 papers)IEEE Computer Graphics and Applications (3 papers)The Journal of Urology (2 papers)
- Partner nations
- United StatesChinaHong Kong
In The Last Decade
David Gotz
88 papers receiving 2.7k citations
Peers
Comparison fields: 5 of 135
- Computer Vision and Pattern Recognition 1.8k
- Signal Processing 445
- Health Information Management 140
- Artificial Intelligence 987
- Information Systems and Management 189
Countries citing papers authored by David Gotz
This map shows the geographic impact of David Gotz'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 David Gotz with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David Gotz more than expected).
Fields of papers citing papers by David Gotz
This network shows the impact of papers produced by David Gotz. 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 David Gotz. The network helps show where David Gotz may publish in the future.
Co-authors
The 25 scholars most cited alongside David Gotz, 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 92 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2009 | 183 | |
| 2 | 2009 | 181 | |
| 3 | 2012 | 163 | |
| 4 | 2014 | 155 | |
| 5 | 2014 | 130 | |
| 6 | 2010 | 112 | |
| 7 | 2011 | 104 | |
| 8 | 2016 | 99 | |
| 9 | 2014 | 93 | |
| 10 | 2016 | 88 | |
| 11 | 2021 | 86 | |
| 12 | 2017 | 84 | |
| 13 | 2008 | 66 | |
| 14 | Predicting Patient's Trajectory of Physiological Data using Temporal Trends in Similar Patients: A System for Near-Term Prognostics. | 2010 | 55 |
| 15 | 2018 | 53 | |
| 16 | 2018 | 51 | |
| 17 | 2017 | 47 | |
| 18 | 2014 | 47 | |
| 19 | 2006 | 45 | |
| 20 | 2021 | 39 |
About David Gotz
David Gotz is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Signal Processing, Sociology and Political Science and Molecular Biology, having authored 92 papers that have together received 2.8k indexed citations. Recurring topics across this work include Data Visualization and Analytics (49 papers), Advanced Text Analysis Techniques (13 papers), Time Series Analysis and Forecasting (11 papers), Video Analysis and Summarization (10 papers), Data Analysis with R (9 papers), Multimedia Communication and Technology (7 papers), Image and Video Quality Assessment (7 papers) and Electronic Health Records Systems (6 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (1.8k citations), Signal Processing (445 citations), Health Information Management (140 citations), Artificial Intelligence (987 citations) and Information Systems and Management (189 citations). David Gotz has collaborated with scholars based in United States, China and Hong Kong. Frequent co-authors include Nan Cao, Michelle X. Zhou, Adam Perer, Zhen Wen, Jimeng Sun, Krist Wongsuphasawat, Harry Stavropoulos, David Borland, Charles D. Stolper and Shunan Guo. Their work appears in journals such as IEEE Transactions on Visualization and Computer Graphics, Information Visualization, Journal of the American Medical Informatics Association, IEEE Computer Graphics and Applications and The Journal of Urology.
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.