Sander Canisius

4.1k citations
38 papers · 938 · h-index 14

Impact in

Papers in

    • Natural Language Processing Techniques 15
    • Topic Modeling 13
    • Text Readability and Simplification 4
    • Genomics and Chromatin Dynamics 5
    • Gene expression and cancer classification 3

Sander Canisius

33 papers receiving 888 citations

Peers

Sander Canisius
Comparison fields: 5 of 102
  • Sensory Systems 74
  • Cancer Research 144
  • Nutrition and Dietetics 89
  • Artificial Intelligence 208
  • Molecular Biology 374
Replace Hui Cao with:
Hui Cao China
Jianpeng Chen China
Gene Cutler United States
Thuy Vu United States
Xianming Wang China
Shiro Kadowaki Japan
Juan Qu China
Pouya Khankhanian United States
Dirk Fey Ireland
Ricardo Villamarín-Salomón United States
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Citations per field
00.5×4.2×
Hui Cao · 1×
Citations per year

Countries citing papers authored by Sander Canisius

Since Specialization
Citations

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

Fields of papers citing papers by Sander Canisius

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sander Canisius. 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 Sander Canisius. The network helps show where Sander Canisius may publish in the future.

Co-authors

The 25 scholars most cited alongside Sander Canisius, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Sander Canisius Line = papers co-authored together Sander Canisius links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 38 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2012181
2
An efficient memory-based morphosyntactic tagger and parser for Dutch
2007138
3 201191
4 201675
5 201961
6 202061
7 202043
8 201338
9 201438
10 201234
11 202020
12 200517
13 200615
14 201514
15 200613
16
Memory-based semantic role labeling: Optimizing features, algorithm, and output
200412
17 201812
18
Bootstrapping Information Extraction from Field Books
200712
19
A Constraint Satisfaction Approach to Dependency Parsing
20079
20 20198

About Sander Canisius

Sander Canisius is a scholar working on Artificial Intelligence, Molecular Biology, Genetics, Cancer Research and Oncology, having authored 38 papers that have together received 938 indexed citations. Recurring topics across this work include Natural Language Processing Techniques (15 papers), Topic Modeling (13 papers), Estrogen and related hormone effects (6 papers), Genomics and Chromatin Dynamics (5 papers), Cancer Genomics and Diagnostics (4 papers), Text Readability and Simplification (4 papers), Gene expression and cancer classification (3 papers) and Cancer-related Molecular Pathways (3 papers). The work is most often cited by research in Sensory Systems (74 citations), Cancer Research (144 citations), Nutrition and Dietetics (89 citations), Artificial Intelligence (208 citations) and Molecular Biology (374 citations). Sander Canisius has collaborated with scholars based in Netherlands, United Kingdom and United States. Frequent co-authors include Lodewyk F.A. Wessels, Antal van den Bosch, Walter Daelemans, Wilbert Zwart, John W.M. Martens, Jason S. Carroll, Marleen Kok, Vassiliki Theodorou, Sabine C. Linn and Frank N. van Leeuwen. Their work appears in journals such as Oncogene, Cancer Research, European Journal of Cancer, The EMBO Journal and BMC Medicine.

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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