Ted Dunning
- Artificial Intelligence top 1%
- Topic Modeling 5
- Data Stream Mining Techniques 3
- Natural Language Processing Techniques 3
- Semantic Web and Ontologies 2
- Language and Linguistics top 2%
- Information Systems top 2%
- Recommender Systems and Techniques 2
- Signal Processing top 5%
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- Scientific Computing and Data Management 2
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- Advanced Database Systems and Queries 2
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- Data Quality and Management 2
- Co-authors
- Sean OwenMark M. DavisSebastian SchelterGranger SuttonOwen WhiteWilliam C. OgdenChris FieldsJ. Craig Venter
- Journals
- Computational Linguistics (1 paper)Journal of Machine Learning Research (1 paper)Nucleic Acids Research (1 paper)
- Partner nations
- United StatesNetherlandsGermany
In The Last Decade
Ted Dunning
16 papers receiving 1.7k citations
Hit Papers
Peers
Comparison fields: 5 of 137
- Artificial Intelligence 1.4k
- Language and Linguistics 240
- Information Systems 385
- Signal Processing 111
- Literature and Literary Theory 88
Countries citing papers authored by Ted Dunning
This map shows the geographic impact of Ted Dunning'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 Dunning with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ted Dunning more than expected).
Fields of papers citing papers by Ted Dunning
This network shows the impact of papers produced by Ted Dunning. 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 Dunning. The network helps show where Ted Dunning may publish in the future.
Co-authorship network
The 14 scholars most cited alongside Ted Dunning, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2023 | 1 | |
| 2 | 2021 | 48 | |
| 3 | 2020 | 27 | |
| 4 | Apache Mahout: Machine Learning on Distributed Dataflow Systems | 2020 | 17 |
| 5 | 2019 | 2 | |
| 6 | 2016 | 9 | |
| 7 | Practical Machine Learning: A New Look at Anomaly Detection | 2014 | 28 |
| 8 | Mahout in Action | 2011 | 171 |
| 9 | A TREC Evaluation of Query Translation Methods For Multi-Lingual Text Retrieval. | 1995 | 53 |
| 10 | Query Translation Using Evolutionary Programming for Multilingual Information Retrieval II. | 1995 | 22 |
| 11 | 1995 | 11 | |
| 12 | 1995 | 3 | |
| 13 | Accurate methods for the statistics of surprise and coincidencebreakdown → | 1993 | 1553 |
| 14 | 1993 | 25 | |
| 15 | A single language evaluation of a multi-lingual test retrieval system | 1992 | 2 |
| 16 | Autonomous star identification for spacecraft attitude control | 1988 | 4 |
About Ted Dunning
Ted Dunning is a scholar working on Artificial Intelligence, Information Systems and Management, Computer Science Applications, Information Systems and Management Science and Operations Research, having authored 16 papers that have together received 2.0k indexed citations. Recurring topics across this work include Topic Modeling (5 papers), Data Stream Mining Techniques (3 papers), Natural Language Processing Techniques (3 papers), Scientific Computing and Data Management (2 papers), Advanced Database Systems and Queries (2 papers), Semantic Web and Ontologies (2 papers), Recommender Systems and Techniques (2 papers) and Data Quality and Management (2 papers). The work is most often cited by research in Artificial Intelligence (1.4k citations), Language and Linguistics (240 citations), Information Systems (385 citations), Signal Processing (111 citations) and Literature and Literary Theory (88 citations). Ted Dunning has collaborated with scholars based in United States, Netherlands and Germany. Frequent co-authors include Sean Owen, Mark M. Davis, Sebastian Schelter, Granger Sutton, Owen White, William C. Ogden, Chris Fields, J. Craig Venter, Mark D. Adams and Edmon Begoli. Their work appears in journals such as Computational Linguistics, Journal of Machine Learning Research, Nucleic Acids Research, Software Impacts and Medical Entomology and Zoology.
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.