M. Ghiassi
Impact in
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- Stock Market Forecasting Methods
- Artificial Intelligence top 2%
- Sentiment Analysis and Opinion Mining
- Advanced Text Analysis Techniques
- Neural Networks and Applications
Papers in
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- Sentiment Analysis and Opinion Mining 5
- Neural Networks and Applications 5
- Text and Document Classification Technologies 5
- Solar Radiation and Photovoltaics 3
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- Forecasting Techniques and Applications 4
- Stock Market Forecasting Methods 4
- Co-authors
- David Zimbra (6 shared papers)H. Saidane (5 shared papers)Sean Lee (2 shared papers)Mohamed I. Dessouky (3 shared papers)Brian Moon (1 shared paper)Nitin Mantri (1 shared paper)Jiang Wu (1 shared paper)Wayne J. Davis (2 shared papers)
- Journals
- Expert Systems with Applications (7 papers)Computers & Industrial Engineering (3 papers)Software Quality Journal (1 paper)Urban Water Journal (1 paper)PLoS ONE (1 paper)
- Partner nations
- United StatesSouth AfricaChina
In The Last Decade
M. Ghiassi
28 papers receiving 1.8k citations
M. Ghiassi's Hit Papers
Peers
Comparison fields: 5 of 148
- Management Science and Operations Research 409
- Artificial Intelligence 775
- Ocean Engineering 176
- Environmental Engineering 155
- Information Systems 228
Countries citing papers authored by M. Ghiassi
This map shows the geographic impact of M. Ghiassi'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 M. Ghiassi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites M. Ghiassi more than expected).
Fields of papers citing papers by M. Ghiassi
This network shows the impact of papers produced by M. Ghiassi. 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 M. Ghiassi. The network helps show where M. Ghiassi may publish in the future.
Co-authors
The 19 scholars most cited alongside M. Ghiassi, 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 32 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Twitter brand sentiment analysis: A hybrid system using n-gram analysis and dynamic artificial neural network Hit paper breakdown → | 2013 | 399 |
| 2 | 2004 | 208 | |
| 3 | 2008 | 207 | |
| 4 | 2005 | 146 | |
| 5 | 2018 | 125 | |
| 6 | 2012 | 108 | |
| 7 | 2003 | 90 | |
| 8 | 2014 | 86 | |
| 9 | 2004 | 84 | |
| 10 | 2016 | 67 | |
| 11 | 2012 | 64 | |
| 12 | 2016 | 58 | |
| 13 | 1986 | 43 | |
| 14 | 2009 | 33 | |
| 15 | 1984 | 32 | |
| 16 | 2016 | 29 | |
| 17 | 2009 | 24 | |
| 18 | 1986 | 23 | |
| 19 | 2022 | 17 | |
| 20 | 1994 | 12 |
About M. Ghiassi
M. Ghiassi is a scholar working on Artificial Intelligence, Management Science and Operations Research, Electrical and Electronic Engineering, Renewable Energy, Sustainability and the Environment and Information Systems, having authored 32 papers that have together received 1.9k indexed citations. Recurring topics across this work include Energy Load and Power Forecasting (5 papers), Sentiment Analysis and Opinion Mining (5 papers), Neural Networks and Applications (5 papers), Text and Document Classification Technologies (5 papers), Photovoltaic System Optimization Techniques (4 papers), Forecasting Techniques and Applications (4 papers), Stock Market Forecasting Methods (4 papers) and Solar Radiation and Photovoltaics (3 papers). The work is most often cited by research in Management Science and Operations Research (409 citations), Artificial Intelligence (775 citations), Ocean Engineering (176 citations), Environmental Engineering (155 citations) and Information Systems (228 citations). M. Ghiassi has collaborated with scholars based in United States, South Africa and China. Frequent co-authors include David Zimbra, H. Saidane, Sean Lee, Mohamed I. Dessouky, Brian Moon, Nitin Mantri, Jiang Wu, Wayne J. Davis, Sean Bong Lee and Hongfei Lü. Their work appears in journals such as Expert Systems with Applications, Computers & Industrial Engineering, Software Quality Journal, Urban Water Journal and PLoS ONE.
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.