Ted E. Senator

2.4k citations
24 papers · 1.7k · 1 hit paper · h-index 12

Impact in

Papers in

Ted E. Senator

20 papers receiving 1.5k citations

Ted E. Senator's Hit Papers

Enabling technology for knowledge sharing 1991 · 989 citations
9890+11+23Years since publication250500750

Peers

Ted E. Senator
Comparison fields: 5 of 120
  • Artificial Intelligence 1.1k
  • Information Systems 642
  • Statistical and Nonlinear Physics 215
  • Computer Networks and Communications 408
  • Signal Processing 180
Replace Fabien Gandon with:
Fabien Gandon France
Athanasios Tsakalidis Greece
Benjamin Fabian Germany
I. Budak Arpinar United States
Giuseppe Manco Italy
Jim Blythe United States
Domenico Ursino Italy
Nicholas Gibbins United Kingdom
Stephen Cranefield New Zealand
Ansgar Scherp Germany
Ted E. Senator relative to Fabien Gandon France Fabien Gandon's profile →
Citations per field
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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 24 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Enabling technology for knowledge sharing
Hit paper breakdown →
1991989
2
Proceedings of the ninth ACM SIGKDD international conference on Knowledge discovery and data mining
2003365
3 200463
4
Restructuring Databases for knowledge discovery by consolidation and link formation
199556
5
The FinCEN Artificial Intelligence System: Identifying Potential Money Laundering from Reports of Large Cash Transactions.
199542
6 200637
7 201334
8 200531
9 201430
10 200024
11 201716
12 201612
13
Break Detection Systems
199710
14 20097
15 20116
16 19986
17
Context-Aware Insider Threat Detection
20135
18 20015
19 20135
20 19981

About Ted E. Senator

Ted E. Senator is a scholar working on Artificial Intelligence, Computer Networks and Communications, Information Systems, Signal Processing and Sociology and Political Science, having authored 24 papers that have together received 1.7k indexed citations. Recurring topics across this work include Data Mining Algorithms and Applications (7 papers), Anomaly Detection Techniques and Applications (6 papers), Network Security and Intrusion Detection (6 papers), Imbalanced Data Classification Techniques (4 papers), Crime, Illicit Activities, and Governance (3 papers), Advanced Malware Detection Techniques (3 papers), Advanced Database Systems and Queries (2 papers) and Data-Driven Disease Surveillance (2 papers). The work is most often cited by research in Artificial Intelligence (1.1k citations), Information Systems (642 citations), Statistical and Nonlinear Physics (215 citations), Computer Networks and Communications (408 citations) and Signal Processing (180 citations). Ted E. Senator has collaborated with scholars based in United States and United Kingdom. Frequent co-authors include Tim Finin, Tom Gruber, Robert Neches, Ramesh S. Patil, William Swartout, Richard Fikes, Christos Faloutsos, Lise Getoor, Pedro Domingos and Henry G. Goldberg. Their work appears in journals such as AI Magazine, Communications of the ACM, Artificial Intelligence, 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.

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