Tom Kenter

987 total citations · 1 hit paper
19 papers, 490 citations indexed

About

Tom Kenter is a scholar working on Artificial Intelligence, Information Systems and Management Science and Operations Research. According to data from OpenAlex, Tom Kenter has authored 19 papers receiving a total of 490 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Artificial Intelligence, 3 papers in Information Systems and 2 papers in Management Science and Operations Research. Recurrent topics in Tom Kenter's work include Natural Language Processing Techniques (10 papers), Topic Modeling (9 papers) and Speech Recognition and Synthesis (6 papers). Tom Kenter is often cited by papers focused on Natural Language Processing Techniques (10 papers), Topic Modeling (9 papers) and Speech Recognition and Synthesis (6 papers). Tom Kenter collaborates with scholars based in Netherlands, United States and United Kingdom. Tom Kenter's co-authors include Maarten de Rijke, Krisztian Balog, Rob Clark, Kira Radinsky, Katja Hofmann, Arjen P. de Vries, ChengXiang Zhai, Manish Sharma, Hanna Silén and Chun-an Chan and has published in prestigious journals such as Information Processing & Management, Lecture notes in computer science and Data Archiving and Networked Services (DANS).

In The Last Decade

Tom Kenter

19 papers receiving 462 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Short Text Similarity with Word Embeddings

2015 275 citations Tom Kenter, Maarten de Rijke UvA-DARE (University of Amsterdam) profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Tom Kenter Netherlands	9	391	130	42	38	30	19	490
Vítor Mangaravite Brazil	5	382 1.0×	130 1.0×	26 0.6×	22 0.6×	29 1.0×	10	458
Viviane P. Moreira Brazil	14	417 1.1×	153 1.2×	44 1.0×	55 1.4×	30 1.0×	59	564
Justin Martineau United States	9	460 1.2×	163 1.3×	27 0.6×	44 1.2×	39 1.3×	17	571
Lynda Tamine France	11	186 0.5×	154 1.2×	37 0.9×	28 0.7×	24 0.8×	44	322
Páraic Sheridan Ireland	13	451 1.2×	160 1.2×	27 0.6×	39 1.0×	19 0.6×	25	530
Ralf Steinberger Italy	18	1.0k 2.6×	181 1.4×	36 0.9×	43 1.1×	39 1.3×	55	1.1k
Mónica Marrero Spain	8	241 0.6×	104 0.8×	51 1.2×	48 1.3×	26 0.9×	23	346
Ingo Frommholz United Kingdom	10	189 0.5×	114 0.9×	22 0.5×	26 0.7×	30 1.0×	57	308
Saeedeh Shekarpour Germany	13	334 0.9×	111 0.9×	21 0.5×	68 1.8×	32 1.1×	29	402
Mücahid Kutlu Türkiye	12	293 0.7×	117 0.9×	31 0.7×	43 1.1×	78 2.6×	44	409

Countries citing papers authored by Tom Kenter

Since Specialization

Citations

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

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Tom Kenter

This figure shows the co-authorship network connecting the top 25 collaborators of Tom Kenter. A scholar is included among the top collaborators of Tom Kenter based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Tom Kenter. Tom Kenter is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

19 of 19 papers shown

1.

Kenter, Tom, et al.. (2023). MOS vs. AB: Evaluating Text-to-Speech Systems Reliably Using Clustered Standard Errors. 1090–1094. 4 indexed citations

2.

Zen, Heiga, Norman Casagrande, Chun-an Chan, et al.. (2022). Training Text-To-Speech Systems From Synthetic Data: A Practical Approach For Accent Transfer Tasks. Interspeech 2022. 4571–4575. 4 indexed citations

3.

Kenter, Tom, et al.. (2020). StrawNet: Self-Training WaveNet for TTS in Low-Data Regimes. 3550–3554. 7 indexed citations

4.

Erdmann, Alexander, Tom Kenter, Markus C. Becker, & Christian Schallhart. (2020). Frugal Paradigm Completion. 8248–8273. 2 indexed citations

5.

Kenter, Tom, Manish Sharma, & Rob Clark. (2020). Improving the Prosody of RNN-Based English Text-To-Speech Synthesis by Incorporating a BERT Model. 4412–4416. 15 indexed citations

6.

Kenter, Tom, et al.. (2019). CHiVE: Varying Prosody in Speech Synthesis with a Linguistically Driven Dynamic Hierarchical Conditional Variational Network. International Conference on Machine Learning. 3331–3340. 15 indexed citations

7.

Clark, Rob, et al.. (2019). Evaluating Long-form Text-to-Speech: Comparing the Ratings of Sentences and Paragraphs. 99–104. 15 indexed citations

8.

Balog, Krisztian & Tom Kenter. (2019). Personal Knowledge Graphs. 217–220. 33 indexed citations

9.

Kenter, Tom, Llion Jones, & Daniel Hewlett. (2018). Byte-Level Machine Reading Across Morphologically Varied Languages. Proceedings of the AAAI Conference on Artificial Intelligence. 32(1). 9 indexed citations

10.

Martínez-Ortiz, Carlos, et al.. (2016). Design and implementation of ShiCo : Visualising shifting concepts over time. UvA-DARE (University of Amsterdam). 1632. 11–19. 7 indexed citations

11.

Kenter, Tom & Maarten de Rijke. (2015). Short Text Similarity with Word Embeddings. UvA-DARE (University of Amsterdam). 1411–1420. 275 indexed citations breakdown →

12.

Kenter, Tom, Krisztian Balog, & Maarten de Rijke. (2015). Evaluating document filtering systems over time. Information Processing & Management. 51(6). 791–808. 7 indexed citations

13.

Kenter, Tom, et al.. (2015). Ad Hoc Monitoring of Vocabulary Shifts over Time. UvA-DARE (University of Amsterdam). 1191–1200. 28 indexed citations

14.

Kenter, Tom, et al.. (2014). Advances in Information Retrieval. Lecture notes in computer science. 50 indexed citations

15.

Kenter, Tom, et al.. (2013). Time-Aware Chi-squared for Document Filtering over Time. UvA-DARE (University of Amsterdam). 1 indexed citations

16.

Kenter, Tom. (2013). Filtering Documents over Time on Evolving Topics - The University of Amsterdam at TREC 2013 KBA CCR.. UvA-DARE (University of Amsterdam). 2 indexed citations

17.

Odijk, Daan, et al.. (2013). Multilingual Semantic Linking for Video Streams: Making "Ideas Worth Sharing" More Accessible. Data Archiving and Networked Services (DANS). 1 indexed citations

18.

Kenter, Tom, et al.. (2012). Lexicon Construction and Corpus Annotation of Historical Language with the CoBaLT Editor. 1–6. 7 indexed citations

19.

Kenter, Tom, et al.. (2012). Context-Based Entity Linking - University of Amsterdam at TAC 2012. UvA-DARE (University of Amsterdam). 8 indexed citations

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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