Warner ten Kate

626 total citations
12 papers, 295 citations indexed

About

Warner ten Kate is a scholar working on Artificial Intelligence, Information Systems and Molecular Biology. According to data from OpenAlex, Warner ten Kate has authored 12 papers receiving a total of 295 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Artificial Intelligence, 4 papers in Information Systems and 3 papers in Molecular Biology. Recurrent topics in Warner ten Kate's work include Semantic Web and Ontologies (4 papers), Service-Oriented Architecture and Web Services (3 papers) and Biomedical Text Mining and Ontologies (3 papers). Warner ten Kate is often cited by papers focused on Semantic Web and Ontologies (4 papers), Service-Oriented Architecture and Web Services (3 papers) and Biomedical Text Mining and Ontologies (3 papers). Warner ten Kate collaborates with scholars based in Netherlands, Finland and United States. Warner ten Kate's co-authors include Zharko Aleksovski, Frank van Harmelen, Natallia E. Uzunbajakava, G.A.M. Krekels, Gerard de Haan, Fons Bruekers, Sabri Boughorbel, Jeroen Breebaart, Jacco van Ossenbruggen and Lloyd Rutledge and has published in prestigious journals such as IEEE Journal of Selected Topics in Signal Processing, International Journal of Nursing Practice and Journal of the Audio Engineering Society.

In The Last Decade

Warner ten Kate

10 papers receiving 266 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Warner ten Kate Netherlands 8 199 138 67 52 42 12 295
Sanjay Nair India 5 202 1.0× 195 1.4× 23 0.3× 55 1.1× 35 0.8× 18 365
Vandana Jagtap India 5 178 0.9× 156 1.1× 37 0.6× 59 1.1× 28 0.7× 15 294
Rehan Ashraf Pakistan 9 224 1.1× 160 1.2× 34 0.5× 103 2.0× 27 0.6× 18 419
Spiros V. Georgakopoulos Greece 8 194 1.0× 77 0.6× 49 0.7× 71 1.4× 13 0.3× 30 400
Enoch Peserico Italy 8 128 0.6× 96 0.7× 22 0.3× 33 0.6× 20 0.5× 35 266
Najm Us Sama Malaysia 8 179 0.9× 192 1.4× 29 0.4× 44 0.8× 15 0.4× 19 349
Ghadah Naif Alwakid Saudi Arabia 10 164 0.8× 71 0.5× 37 0.6× 52 1.0× 12 0.3× 38 351
Youssef Filali Morocco 11 123 0.6× 118 0.9× 43 0.6× 38 0.7× 19 0.5× 22 270
Suliman Aladhadh Saudi Arabia 11 109 0.5× 51 0.4× 18 0.3× 88 1.7× 24 0.6× 25 295
Luciano Caroprese Italy 12 241 1.2× 38 0.3× 59 0.9× 42 0.8× 8 0.2× 51 360

Countries citing papers authored by Warner ten Kate

Since Specialization
Citations

This map shows the geographic impact of Warner ten Kate'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 Warner ten Kate with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Warner ten Kate more than expected).

Fields of papers citing papers by Warner ten Kate

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Warner ten Kate. 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 Warner ten Kate. The network helps show where Warner ten Kate may publish in the future.

Co-authorship network of co-authors of Warner ten Kate

This figure shows the co-authorship network connecting the top 25 collaborators of Warner ten Kate. A scholar is included among the top collaborators of Warner ten Kate 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 Warner ten Kate. Warner ten Kate is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

12 of 12 papers shown
2.
Nouwen, Sarah & Warner ten Kate. (2018). The Globalisation of Justice: Amplifying and Silencing Voices at the ICC. SSRN Electronic Journal.
3.
Kate, Warner ten, et al.. (2014). Timesheets - Integrating Timing in XML. International Journal of Nursing Practice. 13(3). 161–5.
4.
Härmä, Aki, et al.. (2014). Bed exit prediction based on movement and posture data. Research Publications (Maastricht University). 165–168. 6 indexed citations
5.
Boughorbel, Sabri, et al.. (2010). Child-activity recognition from multi-sensor data. 1–3. 14 indexed citations
6.
Kate, Warner ten, et al.. (2009). Automatic Imaging System With Decision Support for Inspection of Pigmented Skin Lesions and Melanoma Diagnosis. IEEE Journal of Selected Topics in Signal Processing. 3(1). 14–25. 147 indexed citations
7.
Aleksovski, Zharko, Warner ten Kate, & Frank van Harmelen. (2008). Using multiple ontologies as background knowledge in ontology matching. Data Archiving and Networked Services (DANS). 8 indexed citations
8.
Kate, Warner ten, et al.. (2007). Using Google distance to weight approximate ontology matches. VU Research Portal. 767–776. 70 indexed citations
9.
Aleksovski, Zharko, Warner ten Kate, & Frank van Harmelen. (2006). Exploiting the Structure of Background Knowledge Used in Ontology Matching.. VU Research Portal. 225. 17 indexed citations
10.
Aleksovski, Zharko, Warner ten Kate, & Frank van Harmelen. (2006). Exploiting the structure of background knowledge used. 13–24. 11 indexed citations
11.
Hardman, Lynda, Patrick Schmitz, Jacco van Ossenbruggen, Warner ten Kate, & Lloyd Rutledge. (2000). The link vs. the event: activating and deactivating elements in time-based hypermedia. New Review of Hypermedia and Multimedia. 6(1). 89–109. 10 indexed citations
12.
Kate, Warner ten, et al.. (1993). 5-Channel Musicam Codec. Journal of the Audio Engineering Society. 1 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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