Tom Kenter
Impact in
- Artificial Intelligence top 5%
- Topic Modeling
- Natural Language Processing Techniques
- Advanced Text Analysis Techniques
- Speech Recognition and Synthesis
- Text and Document Classification Technologies
- Information Systems top 5%
- Web Data Mining and Analysis
- Recommender Systems and Techniques
Papers in
-
- Natural Language Processing Techniques 10
- Topic Modeling 9
- Speech Recognition and Synthesis 6
- Speech and dialogue systems 5
- Semantic Web and Ontologies 3
- Text and Document Classification Technologies 3
- Advanced Text Analysis Techniques 2
- Data Stream Mining Techniques 2
- Co-authors
- Maarten de Rijke (5 shared papers)Krisztian Balog (2 shared papers)Rob Clark (5 shared papers)Katja Hofmann (1 shared paper)Arjen P. de Vries (1 shared paper)ChengXiang Zhai (1 shared paper)Kira Radinsky (1 shared paper)Manish Sharma (1 shared paper)
- Journals
- Information Processing & Management (1 paper)Lecture notes in computer science (1 paper)UvA-DARE (University of Amsterdam) (6 papers)Proceedings of the AAAI Conference on Artificial Intelligence (1 paper)Data Archiving and Networked Services (DANS) (1 paper)
- Partner nations
- NetherlandsUnited StatesUnited Kingdom
In The Last Decade
Tom Kenter
19 papers receiving 462 citations
Tom Kenter's Hit Papers
Peers
Comparison fields: 5 of 68
- Artificial Intelligence 391
- Information Systems 130
- Signal Processing 42
- Management Science and Operations Research 38
- Communication 17
Countries citing papers authored by Tom Kenter
This map shows the geographic impact of Tom Kenter'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 Tom Kenter with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tom Kenter more than expected).
Fields of papers citing papers by Tom Kenter
This network shows the impact of papers produced by Tom Kenter. 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 Tom Kenter. The network helps show where Tom Kenter may publish in the future.
Co-authors
The 25 scholars most cited alongside Tom Kenter, 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 | Short Text Similarity with Word Embeddings Hit paper breakdown → | 2015 | 275 |
| 2 | 2014 | 50 | |
| 3 | 2019 | 33 | |
| 4 | 2015 | 28 | |
| 5 | CHiVE: Varying Prosody in Speech Synthesis with a Linguistically Driven Dynamic Hierarchical Conditional Variational Network | 2019 | 15 |
| 6 | 2019 | 15 | |
| 7 | 2020 | 15 | |
| 8 | 2018 | 9 | |
| 9 | Context-Based Entity Linking - University of Amsterdam at TAC 2012 | 2012 | 8 |
| 10 | Lexicon Construction and Corpus Annotation of Historical Language with the CoBaLT Editor | 2012 | 7 |
| 11 | Design and implementation of ShiCo : Visualising shifting concepts over time | 2016 | 7 |
| 12 | 2015 | 7 | |
| 13 | 2020 | 7 | |
| 14 | 2023 | 4 | |
| 15 | 2022 | 4 | |
| 16 | 2020 | 2 | |
| 17 | Filtering Documents over Time on Evolving Topics - The University of Amsterdam at TREC 2013 KBA CCR. | 2013 | 2 |
| 18 | Time-Aware Chi-squared for Document Filtering over Time | 2013 | 1 |
| 19 | Multilingual Semantic Linking for Video Streams: Making "Ideas Worth Sharing" More Accessible | 2013 | 1 |
About Tom Kenter
Tom Kenter is a scholar working on Artificial Intelligence, Information Systems, Management Science and Operations Research, Communication and Computer Networks and Communications, having authored 19 papers that have together received 490 indexed citations. Recurring topics across this work include Natural Language Processing Techniques (10 papers), Topic Modeling (9 papers), Speech Recognition and Synthesis (6 papers), Speech and dialogue systems (5 papers), Semantic Web and Ontologies (3 papers), Text and Document Classification Technologies (3 papers), Advanced Text Analysis Techniques (2 papers) and Data Stream Mining Techniques (2 papers). The work is most often cited by research in Artificial Intelligence (391 citations), Information Systems (130 citations), Signal Processing (42 citations), Management Science and Operations Research (38 citations) and Communication (17 citations). Tom Kenter has collaborated with scholars based in Netherlands, United States and United Kingdom. Frequent co-authors include Maarten de Rijke, Krisztian Balog, Rob Clark, Katja Hofmann, Arjen P. de Vries, ChengXiang Zhai, Kira Radinsky, Manish Sharma, Hanna Silén and Daniel Hewlett. Their work appears in journals such as Information Processing & Management, Lecture notes in computer science, UvA-DARE (University of Amsterdam), Proceedings of the AAAI Conference on Artificial Intelligence and Data Archiving and Networked Services (DANS).
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.