Chris van der Lee

1.3k total citations
28 papers, 712 citations indexed

About

Chris van der Lee is a scholar working on Artificial Intelligence, Cardiology and Cardiovascular Medicine and Social Psychology. According to data from OpenAlex, Chris van der Lee has authored 28 papers receiving a total of 712 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Artificial Intelligence, 5 papers in Cardiology and Cardiovascular Medicine and 4 papers in Social Psychology. Recurrent topics in Chris van der Lee's work include Natural Language Processing Techniques (14 papers), Topic Modeling (12 papers) and Authorship Attribution and Profiling (4 papers). Chris van der Lee is often cited by papers focused on Natural Language Processing Techniques (14 papers), Topic Modeling (12 papers) and Authorship Attribution and Profiling (4 papers). Chris van der Lee collaborates with scholars based in Netherlands, Iran and Brazil. Chris van der Lee's co-authors include Emiel Krahmer, Folkert J. ten Cate, Marcel J.M. Kofflard, Emiel van Miltenburg, Ron T. van Domburg, Albert Gatt, Sander Wubben, Lex A. van Herwerden, Antal van den Bosch and W. B. Vletter and has published in prestigious journals such as Circulation, Journal of the American College of Cardiology and The American Journal of Cardiology.

In The Last Decade

Chris van der Lee

27 papers receiving 667 citations

Peers

Chris van der Lee
Ann Yuan United States
Taylor Canada
Lee Sheldon Singapore
Chris van der Lee
Citations per year, relative to Chris van der Lee Chris van der Lee (= 1×) peers Felix Gräßer

Countries citing papers authored by Chris van der Lee

Since Specialization
Citations

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

Fields of papers citing papers by Chris van der Lee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Chris van der Lee. 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 Chris van der Lee. The network helps show where Chris van der Lee may publish in the future.

Co-authorship network of co-authors of Chris van der Lee

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

All Works

20 of 20 papers shown
1.
Bol, Nadine, et al.. (2024). Patient Perspectives on a Digital Assistant for Medication Reconciliation: An Interview Study Comparing Socioeconomic Groups. Cyberpsychology Behavior and Social Networking. 27(12). 865–872.
2.
Croes, Emmelyn, Marjolijn L. Antheunis, Chris van der Lee, & Jan de Wit. (2024). Digital Confessions: The Willingness to Disclose Intimate Information to a Chatbot and its Impact on Emotional Well-Being. Interacting with Computers. 36(5). 279–292. 11 indexed citations
3.
Lee, Chris van der, Thiago Castro Ferreira, Chris Emmery, Travis J. Wiltshire, & Emiel Krahmer. (2023). Neural Data-to-Text Generation Based on Small Datasets: Comparing the Added Value of Two Semi-Supervised Learning Approaches on Top of a Large Language Model. Computational Linguistics. 49(3). 555–611. 1 indexed citations
4.
Lee, Chris van der, et al.. (2022). Understanding emotional responses to visual aesthetic artefacts: the SECMEA mechanisms. Visual Communication. 23(4). 610–631. 1 indexed citations
5.
Radhoe, Sumant P., Jesse F. Veenis, Gerard C.M. Linssen, et al.. (2021). Diabetes and Treatment of Chronic Heart Failure in a Large Real-World Heart Failure Population. ESC Heart Failure. 9(1). 353–362. 10 indexed citations
6.
Lee, Chris van der, et al.. (2020). MEmoFC: introducing the Multilingual Emotional Football Corpus. Language Resources and Evaluation. 55(2). 389–430. 4 indexed citations
7.
Lee, Chris van der, Chris Emmery, Sander Wubben, & Emiel Krahmer. (2020). The CACAPO Dataset: A Multilingual, Multi-Domain Dataset for Neural Pipeline and End-to-End Data-to-Text Generation. 68–79. 5 indexed citations
8.
Moussallem, Diego, Thiago Castro Ferreira, Chris van der Lee, et al.. (2020). A General Benchmarking Framework for Text Generation. Data Archiving and Networked Services (DANS). 27–33. 1 indexed citations
9.
Ferreira, Thiago Castro, Chris van der Lee, Emiel van Miltenburg, & Emiel Krahmer. (2019). Neural data-to-text generation: A comparison between pipeline and end-to-end architectures. Data Archiving and Networked Services (DANS). 46 indexed citations
11.
Lee, Chris van der, Albert Gatt, Emiel van Miltenburg, Sander Wubben, & Emiel Krahmer. (2019). Best practices for the human evaluation of automatically generated text. 355–368. 105 indexed citations
12.
Lee, Chris van der, et al.. (2019). A Personalized Data-to-Text Support Tool for Cancer Patients. 443–452. 7 indexed citations
13.
Schouten, Alexander, et al.. (2019). Effects of Relationship Goal on Linguistic Behavior in Online Dating Profiles: A Multi-Method Approach. Frontiers in Communication. 4. 6 indexed citations
14.
Zampieri, Marcos, Shervin Malmasi, Preslav Nakov, et al.. (2018). Language Identification and Morphosyntactic Tagging: The Second VarDial Evaluation Campaign. Työväentutkimus Vuosikirja. 1–17. 65 indexed citations
15.
Gatti, Lorenzo, Chris van der Lee, & Mariët Theune. (2018). Template-based multilingual football reports generation using Wikidata as a knowledge base. University of Twente Research Information. 183–188. 3 indexed citations
16.
Lee, Chris van der, Emiel Krahmer, & Sander Wubben. (2017). PASS: A Dutch data-to-text system for soccer, targeted towards specific audiences. Data Archiving and Networked Services (DANS). 95–104. 26 indexed citations
17.
Lee, Chris van der, Jurriën M. ten Berg, Marcel L. Geleijnse, et al.. (2008). Usefulness of Clinical, Echocardiographic, and Procedural Characteristics to Predict Outcome After Percutaneous Transluminal Septal Myocardial Ablation. The American Journal of Cardiology. 101(9). 1315–1320. 34 indexed citations
18.
Lee, Chris van der, Folkert J. ten Cate, Marcel L. Geleijnse, et al.. (2005). Percutaneous Versus Surgical Treatment for Patients With Hypertrophic Obstructive Cardiomyopathy and Enlarged Anterior Mitral Valve Leaflets. Circulation. 112(4). 482–488. 54 indexed citations
19.
Kofflard, Marcel J.M., Folkert J. ten Cate, Chris van der Lee, & Ron T. van Domburg. (2003). Hypertrophic cardiomyopathy in a large community-based population: clinical outcome and identification of risk factors for sudden cardiac death and clinical deterioration. Journal of the American College of Cardiology. 41(6). 987–993. 149 indexed citations
20.
Lee, Chris van der, Marcel J.M. Kofflard, Lex A. van Herwerden, W. B. Vletter, & Folkert J. ten Cate. (2003). Sustained Improvement After Combined Anterior Mitral Leaflet Extension and Myectomy in Hypertrophic Obstructive Cardiomyopathy. Circulation. 108(17). 2088–2092. 58 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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