Jonathan A. Tepper
Impact in
- Artificial Intelligence top 5%
- Hate Speech and Cyberbullying Detection
- Internet Traffic Analysis and Secure E-voting
- Neural Networks and Applications
- Sentiment Analysis and Opinion Mining
- Signal Processing top 5%
- Advanced Malware Detection Techniques
Papers in
-
- Stock Market Forecasting Methods 10
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- Neural Networks and Applications 7
- Natural Language Processing Techniques 5
- Neural Networks and Reservoir Computing 4
- Co-authors
- Ziqi Zhang (2 shared papers)Mufti Mahmud (4 shared papers)Dominic Palmer-Brown (6 shared papers)T.M. McGinnity (4 shared papers)Heather M. Powell (4 shared papers)Jane M. Binner (7 shared papers)Leo E. Hollister (1 shared paper)Ahmad Lotfi (2 shared papers)
- Journals
- Knowledge-Based Systems (2 papers)Artificial Intelligence in Medicine (1 paper)Psychopharmacology (1 paper)Connection Science (1 paper)Trends in Cognitive Sciences (1 paper)
- Partner nations
- United KingdomUnited StatesSweden
In The Last Decade
Jonathan A. Tepper
28 papers receiving 716 citations
Jonathan A. Tepper's Hit Papers
Peers
Comparison fields: 5 of 97
- Artificial Intelligence 579
- Signal Processing 119
- Communication 71
- Information Systems 135
- Management Science and Operations Research 65
Countries citing papers authored by Jonathan A. Tepper
This map shows the geographic impact of Jonathan A. Tepper'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 Jonathan A. Tepper with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jonathan A. Tepper more than expected).
Fields of papers citing papers by Jonathan A. Tepper
This network shows the impact of papers produced by Jonathan A. Tepper. 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 Jonathan A. Tepper. The network helps show where Jonathan A. Tepper may publish in the future.
Co-authors
The 24 scholars most cited alongside Jonathan A. Tepper, 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 | Detecting Hate Speech on Twitter Using a Convolution-GRU Based Deep Neural Network Hit paper breakdown → | 2018 | 463 |
| 2 | 2019 | 52 | |
| 3 | The Myth of Capitalism: Monopolies and the Death of Competition | 2018 | 42 |
| 4 | 2018 | 37 | |
| 5 | 2006 | 21 | |
| 6 | 2010 | 20 | |
| 7 | 2002 | 19 | |
| 8 | 1978 | 18 | |
| 9 | 2020 | 16 | |
| 10 | 2004 | 15 | |
| 11 | 2004 | 14 | |
| 12 | 2016 | 12 | |
| 13 | 2002 | 11 | |
| 14 | 2004 | 8 | |
| 15 | 2005 | 7 | |
| 16 | Endgame: The End of the Debt SuperCycle and How It Changes Everything | 2011 | 7 |
| 17 | 2023 | 4 | |
| 18 | 2022 | 3 | |
| 19 | Evolution, recurrency and kernels in learning to model inflation | 2007 | 2 |
| 20 | 1995 | 2 |
About Jonathan A. Tepper
Jonathan A. Tepper is a scholar working on Management Science and Operations Research, Artificial Intelligence, General Economics, Econometrics and Finance, Economics and Econometrics and Signal Processing, having authored 32 papers that have together received 785 indexed citations. Recurring topics across this work include Stock Market Forecasting Methods (10 papers), Neural Networks and Applications (7 papers), Natural Language Processing Techniques (5 papers), Neural Networks and Reservoir Computing (4 papers), Complex Systems and Time Series Analysis (3 papers), Market Dynamics and Volatility (3 papers), Gene expression and cancer classification (3 papers) and Monetary Policy and Economic Impact (3 papers). The work is most often cited by research in Artificial Intelligence (579 citations), Signal Processing (119 citations), Communication (71 citations), Information Systems (135 citations) and Management Science and Operations Research (65 citations). Jonathan A. Tepper has collaborated with scholars based in United Kingdom, United States and Sweden. Frequent co-authors include Ziqi Zhang, Mufti Mahmud, Dominic Palmer-Brown, T.M. McGinnity, Heather M. Powell, Jane M. Binner, Leo E. Hollister, Ahmad Lotfi, Kenneth L. Davis and Chris Roadknight. Their work appears in journals such as Knowledge-Based Systems, Artificial Intelligence in Medicine, Psychopharmacology, Connection Science and Trends in Cognitive Sciences.
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.