Jan Buys

2.0k citations
23 papers · 293 · h-index 7

Impact in

Papers in

Jan Buys

18 papers receiving 267 citations

Peers

Jan Buys
Comparison fields: 5 of 47
  • Artificial Intelligence 255
  • Computer Vision and Pattern Recognition 79
  • Information Systems 27
  • Computer Graphics and Computer-Aided Design 4
  • Signal Processing 12
Replace Jianshu Ji with:
Jianshu Ji China
Itay Dalmedigos Israel
Rémi Lebret Switzerland
Naveen Arivazhagan United States
Sam Thomson United States
Chulun Zhou China
Yonatan Oren United States
Huda Khayrallah United States
Azzeddine Mazroui Morocco
Zeyang Lei China
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Countries citing papers authored by Jan Buys

Since Specialization
Citations

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

Fields of papers citing papers by Jan Buys

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Jan Buys, 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 Jan Buys Line = papers co-authored together Jan Buys links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1
The Curious Case of Neural Text Degeneration
2020177
2 201623
3 202115
4 201912
5 201110
6 20019
7 20159
8
A Tree Transducer Model for Grammatical Error Correction
20136
9 20175
10 20185
11 20124
12
Chorale Harmonization with Weighted Finite-state Transducers
20123
13 20193
14 20232
15 20232
16 19912
17
Bridging HMMs and RNNs through Architectural Transformations
20182
18
First records of predation of grey long-eared bats (Plecotus austriacus) by the barn owl (Tyto alba) in the Netherlands
20142
19 20221
20 20211

About Jan Buys

Jan Buys is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Molecular Biology, Ecology, Evolution, Behavior and Systematics and Ecology, having authored 23 papers that have together received 293 indexed citations. Recurring topics across this work include Natural Language Processing Techniques (15 papers), Topic Modeling (15 papers), Text Readability and Simplification (4 papers), Translation Studies and Practices (2 papers), Speech and dialogue systems (2 papers), Multimodal Machine Learning Applications (2 papers), Speech Recognition and Synthesis (2 papers) and Semantic Web and Ontologies (2 papers). The work is most often cited by research in Artificial Intelligence (255 citations), Computer Vision and Pattern Recognition (79 citations), Information Systems (27 citations), Computer Graphics and Computer-Aided Design (4 citations) and Signal Processing (12 citations). Jan Buys has collaborated with scholars based in South Africa, United Kingdom and United States. Frequent co-authors include Yejin Choi, Ari Holtzman, Maxwell Forbes, Phil Blunsom, Brink van der Merwe, Emily M. Bender, Michael Wayne Goodman, Aslı Çelikyılmaz, Menno Reemer and Antoine Bosselut. Their work appears in journals such as Computers & Geosciences, Ibis, PLoS ONE, SUNScholar (Stellenbosch University) and arXiv (Cornell University).

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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