Ted E. Senator
Impact in
- Artificial Intelligence top 1%
- Semantic Web and Ontologies
- Multi-Agent Systems and Negotiation
- Anomaly Detection Techniques and Applications
- AI-based Problem Solving and Planning
- Privacy-Preserving Technologies in Data
- Information Systems top 2%
- Information and Cyber Security
Papers in
-
- Anomaly Detection Techniques and Applications 7
- Privacy-Preserving Technologies in Data 5
- Domain Adaptation and Few-Shot Learning 2
- Imbalanced Data Classification Techniques 2
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- Information and Cyber Security 6
- Data Mining Algorithms and Applications 5
- Data Mining and Machine Learning Applications 2
- Co-authors
- Robert T. Neches (1 shared paper)Tom Gruber (1 shared paper)Richard E. Fikes (1 shared paper)Tim Finin (1 shared paper)Ramesh S. Patil (1 shared paper)William Swartout (1 shared paper)Henry G. Goldberg (12 shared papers)William T. Young (3 shared papers)
- Journals
- AI Magazine (3 papers)Artificial Intelligence (1 paper)Communications of the ACM (1 paper)Journal of the Association for Information Systems (1 paper)Knowledge Discovery and Data Mining (1 paper)
- Partner nations
- United States
In The Last Decade
Ted E. Senator
20 papers receiving 1.3k citations
Ted E. Senator's Hit Papers
Peers
Comparison fields: 5 of 94
- Artificial Intelligence 887
- Information Systems 349
- Computer Networks and Communications 230
- Software 28
- Statistical and Nonlinear Physics 46
Countries citing papers authored by Ted E. Senator
This map shows the geographic impact of Ted E. Senator'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 Ted E. Senator with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ted E. Senator more than expected).
Fields of papers citing papers by Ted E. Senator
This network shows the impact of papers produced by Ted E. Senator. 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 Ted E. Senator. The network helps show where Ted E. Senator may publish in the future.
Co-authors
The 12 scholars most cited alongside Ted E. Senator, 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 22 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Enabling technology for knowledge sharing Hit paper breakdown → | 1991 | 965 |
| 2 | 2013 | 106 | |
| 3 | 2004 | 60 | |
| 4 | Restructuring Databases for knowledge discovery by consolidation and link formation | 1995 | 51 |
| 5 | The FinCEN Artificial Intelligence System: Identifying Potential Money Laundering from Reports of Large Cash Transactions. | 1995 | 38 |
| 6 | 2006 | 38 | |
| 7 | 2013 | 37 | |
| 8 | 2014 | 30 | |
| 9 | 2005 | 29 | |
| 10 | 2000 | 22 | |
| 11 | 2017 | 17 | |
| 12 | 2016 | 12 | |
| 13 | Break Detection Systems | 1997 | 9 |
| 14 | 1998 | 6 | |
| 15 | The NASD regulation advanced detection system: integrating data mining and visualization for break detection in the NASDAQ stock market | 2001 | 6 |
| 16 | 2009 | 6 | |
| 17 | 2011 | 6 | |
| 18 | Context-Aware Insider Threat Detection | 2013 | 6 |
| 19 | 2013 | 5 | |
| 20 | 1998 | 2 |
About Ted E. Senator
Ted E. Senator is a scholar working on Artificial Intelligence, Information Systems, Computer Networks and Communications, Management Science and Operations Research and Marketing, having authored 22 papers that have together received 1.5k indexed citations. Recurring topics across this work include Anomaly Detection Techniques and Applications (7 papers), Information and Cyber Security (6 papers), Network Security and Intrusion Detection (6 papers), Privacy-Preserving Technologies in Data (5 papers), Data Mining Algorithms and Applications (5 papers), Domain Adaptation and Few-Shot Learning (2 papers), Imbalanced Data Classification Techniques (2 papers) and Data Mining and Machine Learning Applications (2 papers). The work is most often cited by research in Artificial Intelligence (887 citations), Information Systems (349 citations), Computer Networks and Communications (230 citations), Software (28 citations) and Statistical and Nonlinear Physics (46 citations). Ted E. Senator has collaborated with scholars based in United States. Frequent co-authors include Robert T. Neches, Tom Gruber, Richard E. Fikes, Tim Finin, Ramesh S. Patil, William Swartout, Henry G. Goldberg, William T. Young, Robert L. Popp and William Young. Their work appears in journals such as AI Magazine, Artificial Intelligence, Communications of the ACM, Journal of the Association for Information Systems and Knowledge Discovery and Data Mining.
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.