Ildikó Pilán

547 total citations
30 papers, 260 citations indexed

About

Ildikó Pilán is a scholar working on Artificial Intelligence, Developmental and Educational Psychology and Language and Linguistics. According to data from OpenAlex, Ildikó Pilán has authored 30 papers receiving a total of 260 indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Artificial Intelligence, 4 papers in Developmental and Educational Psychology and 3 papers in Language and Linguistics. Recurrent topics in Ildikó Pilán's work include Natural Language Processing Techniques (19 papers), Topic Modeling (12 papers) and Text Readability and Simplification (11 papers). Ildikó Pilán is often cited by papers focused on Natural Language Processing Techniques (19 papers), Topic Modeling (12 papers) and Text Readability and Simplification (11 papers). Ildikó Pilán collaborates with scholars based in Sweden, Norway and Spain. Ildikó Pilán's co-authors include Elena Volodina, Lilja Øvrelid, Pierre Lison, Richard Johansson, David Sánchez, Montserrat Batet, Torsten Zesch, Thomas François, Lars Borin and Sowmya Vajjala and has published in prestigious journals such as SHILAP Revista de lepidopterología, European Heart Journal and Applied Soft Computing.

In The Last Decade

Ildikó Pilán

29 papers receiving 233 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Ildikó Pilán Sweden 9 226 41 24 22 19 30 260
Yann Mathet France 5 71 0.3× 7 0.2× 15 0.6× 25 1.1× 12 0.6× 8 114
Elena Volodina Sweden 11 295 1.3× 87 2.1× 5 0.2× 42 1.9× 24 1.3× 67 339
Chi Lu United States 5 207 0.9× 47 1.1× 3 0.1× 24 1.1× 88 4.6× 10 271
Maciej Ogrodniczuk Poland 8 108 0.5× 6 0.1× 7 0.3× 24 1.1× 14 0.7× 36 149
Karim Bouzoubaa Morocco 11 251 1.1× 4 0.1× 11 0.5× 27 1.2× 36 1.9× 33 276
Suguru Matsuyoshi Japan 10 235 1.0× 11 0.3× 20 0.8× 10 0.5× 54 2.8× 33 268
Erick Galani Maziero Brazil 8 233 1.0× 9 0.2× 9 0.4× 14 0.6× 21 1.1× 17 251
Diane Napolitano United States 8 204 0.9× 66 1.6× 5 0.2× 18 0.8× 21 1.1× 12 234
Noam Ordan Israel 8 323 1.4× 14 0.3× 7 0.3× 101 4.6× 15 0.8× 20 369
Bartosz Broda Poland 9 187 0.8× 4 0.1× 10 0.4× 46 2.1× 16 0.8× 23 209

Countries citing papers authored by Ildikó Pilán

Since Specialization
Citations

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

Fields of papers citing papers by Ildikó Pilán

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ildikó Pilán

This figure shows the co-authorship network connecting the top 25 collaborators of Ildikó Pilán. A scholar is included among the top collaborators of Ildikó Pilán 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 Ildikó Pilán. Ildikó Pilán 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.
Pilán, Ildikó, et al.. (2025). Truthful text sanitization guided by inference attacks. Applied Soft Computing. 185. 114013–114013.
2.
Pilán, Ildikó, Laurent Prévot, Hendrik Buschmeier, & Pierre Lison. (2024). Conversational Feedback in Scripted versus Spontaneous Dialogues: A Comparative Analysis. 440–457. 2 indexed citations
4.
Brekke, P., Taraka Rama, Ildikó Pilán, Øystein Nytrø, & Lilja Øvrelid. (2021). Synthetic data for annotation and extraction of family history information from clinical text. Journal of Biomedical Semantics. 12(1). 11–11. 8 indexed citations
5.
Lison, Pierre, Ildikó Pilán, David Sánchez, Montserrat Batet, & Lilja Øvrelid. (2021). Anonymisation Models for Text Data: State of the art, Challenges and Future Directions. 4188–4203. 38 indexed citations
6.
Pilán, Ildikó, et al.. (2020). Classification of Syncope Cases in Norwegian Medical Records. 79–84. 1 indexed citations
7.
Pilán, Ildikó, et al.. (2020). A Dataset for Investigating the Impact of Feedback on Student Revision Outcome. Language Resources and Evaluation. 332–339. 5 indexed citations
8.
Volodina, Elena, et al.. (2019). State-of-the-art on monolingual lexicography for Sweden. SHILAP Revista de lepidopterología. 7(1). 13–24. 1 indexed citations
9.
Pilán, Ildikó & Elena Volodina. (2018). Exploring word embeddings and phonological similarity for the unsupervised correction of language learner errors.. 119–128. 1 indexed citations
10.
Pilán, Ildikó. (2018). Automatic proficiency level prediction for Intelligent Computer-Assisted Language Learning. Gothenburg University Publications Electronic Archive (Gothenburg University). 2 indexed citations
11.
Pilán, Ildikó, et al.. (2018). SB@GU at the Complex Word Identification 2018 Shared Task. 315–321. 8 indexed citations
12.
Pilán, Ildikó, et al.. (2016). Coursebook Texts as a Helping Hand for Classifying Linguistic Complexity in Language Learners’ Writings. International Conference on Computational Linguistics. 120–126. 4 indexed citations
13.
Pilán, Ildikó, Sowmya Vajjala, & Elena Volodina. (2016). A Readable Read: Automatic Assessment of Language Learning Materials based on Linguistic Complexity. arXiv (Cornell University). 7. 143–159. 6 indexed citations
14.
François, Thomas, et al.. (2016). SVALex: a CEFR-graded Lexical Resource for Swedish Foreign and Second Language Learners. Language Resources and Evaluation. 213–219. 19 indexed citations
15.
Pilán, Ildikó, Elena Volodina, & Torsten Zesch. (2016). Predicting proficiency levels in learner writings by transferring a linguistic complexity model from expert-written coursebooks. DuEPublico (University of Duisburg-Essen). 2101–2111. 21 indexed citations
16.
Volodina, Elena, et al.. (2014). A flexible language learning platform based on language resources and web services. Language Resources and Evaluation. 3973–3978. 10 indexed citations
17.
Pilán, Ildikó & Elena Volodina. (2014). Reusing Swedish FrameNet for training semantic roles. Language Resources and Evaluation. 1359–1363. 1 indexed citations
18.
Pilán, Ildikó, Elena Volodina, & Richard Johansson. (2014). Rule-based and machine learning approaches for second language sentence-level readability. 174–184. 33 indexed citations
19.
Volodina, Elena, et al.. (2014). You Get what You Annotate: A Pedagogically Annotated Corpus of Coursebooks for Swedish as a Second Language. 128–144. 16 indexed citations
20.
Volodina, Elena, et al.. (2013). Towards a gold standard for Swedish CEFR-based ICALL. 48–65. 7 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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