Grzegorz Chrupała

1.5k citations
46 papers · 646 indexed · h-index 13

Grzegorz Chrupała

44 papers receiving 573 citations

Peers

Grzegorz Chrupała
Comparison fields: 5 of 71
  • Artificial Intelligence 544
  • Computer Vision and Pattern Recognition 149
  • Signal Processing 45
  • Computer Science Applications 22
  • Information Systems 80
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Citations per year

Countries citing papers authored by Grzegorz Chrupała

Since Specialization
Citations

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

Fields of papers citing papers by Grzegorz Chrupała

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20241
3 20231
4 20235
5 20167
6
Predicting the quality of questions on Stackoverflow
201518
7 201329
8
Generalizing from Freebase and Patterns using Cluster-Based Distant Supervision for TAC KBP Slotfilling 2012.
20126
9
Learning from evolving data streams: online triage of bug reports
20124
10
Concurrent Acquisition of Word Meaning and Lexical Categories
20129
11
Hierarchical clustering of word class distributions
20128
12
Saarland University Spoken Language Systems Group at TAC KBP 2011
20111
13
Lemmatization and Lexicalized Statistical Parsing of Morphologically-Rich Languages: the Case of French
201011
14
A Named Entity Labeler for German: Exploiting Wikipedia and Distributional Clusters
201011
15
Online Entropy-Based Model of Lexical Category Acquisition
20108
16
Learning Morphology with Morfette
200866
17
Using very large corpora to detect raising and control verbs
20072
18 20066
19
Simple data-driven context-sensitive lemmatization
200621
20
Hierarchical Recognition of Propositional Arguments with Perceptrons
200419

About Grzegorz Chrupała

Grzegorz Chrupała is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Developmental Biology, Computer Science Applications and Human-Computer Interaction, having authored 46 papers that have together received 646 indexed citations. Recurring topics across this work include Natural Language Processing Techniques (30 papers), Topic Modeling (29 papers), Speech and dialogue systems (11 papers), Multimodal Machine Learning Applications (9 papers), Text Readability and Simplification (4 papers), Semantic Web and Ontologies (4 papers), Authorship Attribution and Profiling (4 papers) and Software Engineering Research (3 papers). The work is most often cited by research in Artificial Intelligence (544 citations), Computer Vision and Pattern Recognition (149 citations), Signal Processing (45 citations), Computer Science Applications (22 citations) and Information Systems (80 citations). Grzegorz Chrupała has collaborated with scholars based in Netherlands, Germany and Ireland. Frequent co-authors include Afra Alishahi, Ákos Kádár, Josef van Genabith, Georgiana Dinu, Dietrich Klakow, Tal Linzen, Johan Bos, Valerio Basile, Kilian Evang and Lluı́s Màrquez. Their work appears in journals such as Language Resources and Evaluation, Theory and applications of categories, Computational Linguistics, Robotics and Natural Language Engineering.

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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