Jonathan 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
-
- Neural Networks and Applications 7
- Natural Language Processing Techniques 5
- Neural Networks and Reservoir Computing 4
-
- Stock Market Forecasting Methods 10
- Co-authors
- Ziqi Zhang (2 shared papers)Heather M. Powell (4 shared papers)Dominic Palmer-Brown (6 shared papers)Mufti Mahmud (4 shared papers)Jane M. Binner (8 shared papers)T.M. McGinnity (4 shared papers)Kenneth L. Davis (1 shared paper)Leo E. Hollister (1 shared paper)
- Journals
- Knowledge-Based Systems (2 papers)Artificial Intelligence in Medicine (1 paper)Cancer (1 paper)Economics Letters (1 paper)Physica A Statistical Mechanics and its Applications (1 paper)
- Partner nations
- United KingdomUnited StatesSaudi Arabia
In The Last Decade
Jonathan Tepper
28 papers receiving 684 citations
Jonathan Tepper's Hit Papers
Peers
Comparison fields: 5 of 94
- Artificial Intelligence 548
- Signal Processing 118
- Communication 68
- Information Systems 130
- Management Science and Operations Research 63
Countries citing papers authored by Jonathan Tepper
This map shows the geographic impact of Jonathan 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 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 Tepper more than expected).
Fields of papers citing papers by Jonathan Tepper
This network shows the impact of papers produced by Jonathan 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 Tepper. The network helps show where Jonathan Tepper may publish in the future.
Co-authors
The 21 scholars most cited alongside Jonathan 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 | 432 |
| 2 | 2019 | 49 | |
| 3 | The Myth of Capitalism: Monopolies and the Death of Competition | 2018 | 38 |
| 4 | 2018 | 35 | |
| 5 | 2006 | 22 | |
| 6 | 2010 | 21 | |
| 7 | 2002 | 19 | |
| 8 | 1978 | 17 | |
| 9 | 2004 | 15 | |
| 10 | 2020 | 14 | |
| 11 | 2004 | 14 | |
| 12 | 2016 | 12 | |
| 13 | 2002 | 11 | |
| 14 | Endgame: The End of the Debt SuperCycle and How It Changes Everything | 2011 | 10 |
| 15 | 2004 | 8 | |
| 16 | 2005 | 7 | |
| 17 | 2022 | 4 | |
| 18 | 2010 | 3 | |
| 19 | 2023 | 3 | |
| 20 | 2002 | 2 |
About Jonathan Tepper
Jonathan Tepper is a scholar working on Artificial Intelligence, Management Science and Operations Research, Economics and Econometrics, Molecular Biology and General Economics, Econometrics and Finance, having authored 32 papers that have together received 749 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), Market Dynamics and Volatility (4 papers), Neural Networks and Reservoir Computing (4 papers), Complex Systems and Time Series Analysis (4 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 (548 citations), Signal Processing (118 citations), Communication (68 citations), Information Systems (130 citations) and Management Science and Operations Research (63 citations). Jonathan Tepper has collaborated with scholars based in United Kingdom, United States and Saudi Arabia. Frequent co-authors include Ziqi Zhang, Heather M. Powell, Dominic Palmer-Brown, Mufti Mahmud, Jane M. Binner, T.M. McGinnity, Kenneth L. Davis, Leo E. Hollister, Ahmad Lotfi and Chris Roadknight. Their work appears in journals such as Knowledge-Based Systems, Artificial Intelligence in Medicine, Cancer, Economics Letters and Physica A Statistical Mechanics and its 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.