David Zimbra
Impact in
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- Stock Market Forecasting Methods
- Artificial Intelligence top 2%
- Sentiment Analysis and Opinion Mining
- Advanced Text Analysis Techniques
- Topic Modeling
Papers in
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- Sentiment Analysis and Opinion Mining 9
- Advanced Text Analysis Techniques 8
- Topic Modeling 3
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- Digital Marketing and Social Media 4
- Digital Games and Media 3
- Co-authors
- M. Ghiassi (6 shared papers)H. Saidane (3 shared papers)Hsinchun Chen (1 shared paper)Hsinchun Chen (5 shared papers)Ahmed Abbasi (2 shared papers)Jay F. Nunamaker (2 shared papers)Daniel Zeng (1 shared paper)Sean Lee (2 shared papers)
- Journals
- Decision Support Systems (2 papers)ACM Transactions on Management Information Systems (2 papers)International Journal of Forecasting (1 paper)Electric Power Systems Research (1 paper)Expert Systems with Applications (1 paper)
- Partner nations
- United StatesChina
In The Last Decade
David Zimbra
19 papers receiving 1.5k citations
David Zimbra's Hit Papers
Peers
Comparison fields: 5 of 101
- Management Science and Operations Research 317
- Artificial Intelligence 751
- Information Systems 326
- Communication 78
- Ocean Engineering 146
Countries citing papers authored by David Zimbra
This map shows the geographic impact of David Zimbra'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 Zimbra with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David Zimbra more than expected).
Fields of papers citing papers by David Zimbra
This network shows the impact of papers produced by David Zimbra. 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 Zimbra. The network helps show where David Zimbra may publish in the future.
Co-authors
The 22 scholars most cited alongside David Zimbra, 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 | Twitter brand sentiment analysis: A hybrid system using n-gram analysis and dynamic artificial neural network Hit paper breakdown → | 2013 | 347 |
| 2 | 2008 | 204 | |
| 3 | 2004 | 190 | |
| 4 | 2018 | 158 | |
| 5 | 2010 | 153 | |
| 6 | 2010 | 135 | |
| 7 | 2005 | 134 | |
| 8 | 2016 | 59 | |
| 9 | 2016 | 54 | |
| 10 | 2014 | 39 | |
| 11 | 2010 | 26 | |
| 12 | User-Generated Content on Social Media: Predicting Market Success with Online Word-of-Mouth | 2010 | 21 |
| 13 | 2017 | 12 | |
| 14 | 2014 | 11 | |
| 15 | ASSESSING PUBLIC OPINIONS THROUGH WEB 2.0: A CASE STUDY ON WAL-MART | 2009 | 9 |
| 16 | 2015 | 8 | |
| 17 | 2012 | 8 | |
| 18 | 2011 | 3 | |
| 19 | Stakeholder and sentiment analysis in web forums | 2012 | 1 |
About David Zimbra
David Zimbra is a scholar working on Artificial Intelligence, Sociology and Political Science, Statistical and Nonlinear Physics, Information Systems and Management Science and Operations Research, having authored 19 papers that have together received 1.6k indexed citations. Recurring topics across this work include Sentiment Analysis and Opinion Mining (9 papers), Advanced Text Analysis Techniques (8 papers), Complex Network Analysis Techniques (6 papers), Digital Marketing and Social Media (4 papers), Spam and Phishing Detection (3 papers), Topic Modeling (3 papers), Digital Games and Media (3 papers) and Stock Market Forecasting Methods (2 papers). The work is most often cited by research in Management Science and Operations Research (317 citations), Artificial Intelligence (751 citations), Information Systems (326 citations), Communication (78 citations) and Ocean Engineering (146 citations). David Zimbra has collaborated with scholars based in United States and China. Frequent co-authors include M. Ghiassi, H. Saidane, Hsinchun Chen, Hsinchun Chen, Ahmed Abbasi, Jay F. Nunamaker, Daniel Zeng, Sean Lee, Chen and Zhang. Their work appears in journals such as Decision Support Systems, ACM Transactions on Management Information Systems, International Journal of Forecasting, Electric Power Systems Research and Expert Systems with Applications.
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.