Ted E. Senator

2.4k citations
23 papers · 1.5k · 1 hit paper · h-index 12

Impact in

Papers in

Ted E. Senator

19 papers receiving 1.3k citations

Ted E. Senator's Hit Papers

Enabling technology for knowledge sharing 1991 · 780 citations
7800+11+23Years since publication250500750

Peers

Ted E. Senator
Comparison fields: 5 of 115
  • Artificial Intelligence 868
  • Information Systems 528
  • Statistical and Nonlinear Physics 206
  • Computer Networks and Communications 343
  • Signal Processing 152
Replace Domenico Ursino with:
Domenico Ursino Italy
Giuseppe Manco Italy
David B. Skillicorn Canada
Benjamin Fabian Germany
Fabien Gandon France
Mohsen Kahani Iran
Giuseppe Fenza Italy
Stephen Cranefield New Zealand
Barbara Carminati Italy
Ted E. Senator relative to Domenico Ursino Italy Domenico Ursino's profile →
Citations per field
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Domenico Ursino · 1×
Citations per year

Countries citing papers authored by Ted E. Senator

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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 25 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.

Border = papers with Ted E. Senator Line = papers co-authored together Ted E. Senator links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Enabling technology for knowledge sharing
Hit paper breakdown →
1991780
2
Proceedings of the ninth ACM SIGKDD international conference on Knowledge discovery and data mining
2003341
3
Restructuring Databases for knowledge discovery by consolidation and link formation
199550
4 200446
5
The FinCEN Artificial Intelligence System: Identifying Potential Money Laundering from Reports of Large Cash Transactions.
199538
6 200632
7 201330
8 201427
9 200524
10 200023
11 201714
12 201612
13
Break Detection Systems
199710
14 20097
15
Context-Aware Insider Threat Detection
20135
16 20115
17 20014
18 20133
19 19981
20 20251

About Ted E. Senator

Ted E. Senator is a scholar working on Artificial Intelligence, Computer Networks and Communications, Information Systems, Signal Processing and Management Information Systems, having authored 23 papers that have together received 1.5k indexed citations. Recurring topics across this work include Data Mining Algorithms and Applications (7 papers), Network Security and Intrusion Detection (6 papers), Anomaly Detection Techniques and Applications (6 papers), Imbalanced Data Classification Techniques (4 papers), Advanced Malware Detection Techniques (3 papers), Gambling Behavior and Treatments (2 papers), Crime, Illicit Activities, and Governance (2 papers) and Data-Driven Disease Surveillance (2 papers). The work is most often cited by research in Artificial Intelligence (868 citations), Information Systems (528 citations), Statistical and Nonlinear Physics (206 citations), Computer Networks and Communications (343 citations) and Signal Processing (152 citations). Ted E. Senator has collaborated with scholars based in United States. Frequent co-authors include William Swartout, Robert Neches, Tom Gruber, Tim Finin, Ramesh S. Patil, Richard Fikes, Lise Getoor, Christos Faloutsos, Pedro Domingos and Henry G. Goldberg. Their work appears in journals such as AI Magazine, Artificial Intelligence, Communications of the ACM, Proceedings of the ... Annual Hawaii International Conference on System Sciences 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.

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