James A. Shine
Impact in
- Signal Processing top 5%
- Data Management and Algorithms
- Time Series Analysis and Forecasting
- Information Systems top 5%
- Data Mining Algorithms and Applications
Papers in
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- Data Management and Algorithms 7
- Time Series Analysis and Forecasting 2
-
- Data Mining Algorithms and Applications 7
- Co-authors
- James P. Rogers (8 shared papers)Shashi Shekhar (7 shared papers)Mete Çelik (5 shared papers)Pradeep Mohan (3 shared papers)Zhe Jiang (1 shared paper)James E. Gentle (1 shared paper)Margaret A. Oliver (1 shared paper)James M. Kang (1 shared paper)
- Journals
- IEEE Transactions on Knowledge and Data Engineering (2 papers)Wiley Interdisciplinary Reviews Computational Statistics (1 paper)International Journal of Remote Sensing (1 paper)Journal of Social History (1 paper)University of Minnesota Digital Conservancy (University of Minnesota) (2 papers)
- Partner nations
- United StatesUnited Kingdom
In The Last Decade
James A. Shine
14 papers receiving 260 citations
Peers
Comparison fields: 5 of 58
- Signal Processing 185
- Information Systems 150
- Geography, Planning and Development 31
- Transportation 35
- Computer Networks and Communications 46
Countries citing papers authored by James A. Shine
This map shows the geographic impact of James A. Shine'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 James A. Shine with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites James A. Shine more than expected).
Fields of papers citing papers by James A. Shine
This network shows the impact of papers produced by James A. Shine. 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 James A. Shine. The network helps show where James A. Shine may publish in the future.
Co-authors
The 14 scholars most cited alongside James A. Shine, 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 | 2011 | 50 | |
| 2 | 2008 | 50 | |
| 3 | 2011 | 47 | |
| 4 | 2006 | 38 | |
| 5 | 2010 | 17 | |
| 6 | 2005 | 16 | |
| 7 | 2007 | 14 | |
| 8 | 2012 | 12 | |
| 9 | 2006 | 10 | |
| 10 | 2011 | 7 | |
| 11 | Discovering and Quantifying Mean Streets: A Summary of Results | 2007 | 5 |
| 12 | 2011 | 2 | |
| 13 | 2003 | 2 | |
| 14 | Bayesian, Evidence, Fuzzy: Which Theory Works Best When Reasoning with Uncertain Knowledge?, | 1985 | 1 |
About James A. Shine
James A. Shine is a scholar working on Signal Processing, Information Systems, Computer Networks and Communications, Artificial Intelligence and Media Technology, having authored 14 papers that have together received 271 indexed citations. Recurring topics across this work include Data Mining Algorithms and Applications (7 papers), Data Management and Algorithms (7 papers), Advanced Database Systems and Queries (3 papers), Remote-Sensing Image Classification (2 papers), Geochemistry and Geologic Mapping (2 papers), Time Series Analysis and Forecasting (2 papers), Robotics and Sensor-Based Localization (1 paper) and 3D Surveying and Cultural Heritage (1 paper). The work is most often cited by research in Signal Processing (185 citations), Information Systems (150 citations), Geography, Planning and Development (31 citations), Transportation (35 citations) and Computer Networks and Communications (46 citations). James A. Shine has collaborated with scholars based in United States and United Kingdom. Frequent co-authors include James P. Rogers, Shashi Shekhar, Mete Çelik, Pradeep Mohan, Zhe Jiang, James E. Gentle, Margaret A. Oliver, James M. Kang, Pankaj K. Agarwal and Shashi Shekhar. Their work appears in journals such as IEEE Transactions on Knowledge and Data Engineering, Wiley Interdisciplinary Reviews Computational Statistics, International Journal of Remote Sensing, Journal of Social History and University of Minnesota Digital Conservancy (University of Minnesota).
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.