Kim Luyckx
About
In The Last Decade
Kim Luyckx
24 papers receiving 413 citations
Peers
Comparison fields: 5 of 72
- Artificial Intelligence 400
- Molecular Biology 70
- Information Systems 50
- Health Information Management 43
- Sociology and Political Science 33
Countries citing papers authored by Kim Luyckx
This map shows the geographic impact of Kim Luyckx'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 Kim Luyckx with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kim Luyckx more than expected).
Fields of papers citing papers by Kim Luyckx
This network shows the impact of papers produced by Kim Luyckx. 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 Kim Luyckx. The network helps show where Kim Luyckx may publish in the future.
Co-authorship network of co-authors of Kim Luyckx
This figure shows the co-authorship network connecting the top 25 collaborators of Kim Luyckx. A scholar is included among the top collaborators of Kim Luyckx 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 Kim Luyckx. Kim Luyckx is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 15 | |
| 2 | 27 | |
| 3 | 35 | |
| 4 | 16 | |
| 5 | 7 | |
| 6 | 52 | |
| 7 | 3 | |
| 8 | De-Identification of Clinical Free Text in Dutch with Limited Training Data: A Case Study | 5 |
| 9 | The Netlog Corpus. A Resource for the Study of Flemish Dutch Internet Language | 5 |
| 10 | 20 | |
| 11 | Evaluating unmasking for cross-genre authorship verification | 1 |
| 12 | 36 | |
| 13 | Intrinsic Plagiarism Detection Using Character Trigram Distance Scores Notebook for PAN at CLEF 2011 | 6 |
| 14 | Intrinsic plagiarism detection using character trigram distance scores | 14 |
| 15 | Scalability Issues in Authorship Attribution | 28 |
| 16 | Personae: a Corpus for Author and Personality Prediction from Text. | 37 |
| 17 | 90 | |
| 18 | Stylogenetics: Clustering-based stylistic analysis of literary corpora | 21 |
| 19 | Shallow Text Analysis and Machine Learning for Authorship Attribution | 26 |
| 20 | Shallow Text Analysis and Machine Learning for Authorship Attribtion. | 6 |
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.