Koldo Gojenola

848 citations
69 papers · 598 · h-index 14

Impact in

    • Natural Language Processing Techniques
    • Topic Modeling
    • Text Readability and Simplification
    • Speech and dialogue systems
    • Machine Learning in Healthcare
    • Semantic Web and Ontologies
  • Toxicology top 5%
    • Pharmacovigilance and Adverse Drug Reactions

Papers in

    • Natural Language Processing Techniques 46
    • Topic Modeling 34
    • Text Readability and Simplification 11
    • Semantic Web and Ontologies 7
    • Speech and dialogue systems 5
    • Sentiment Analysis and Opinion Mining 4
    • Biomedical Text Mining and Ontologies 19

Koldo Gojenola

63 papers receiving 534 citations

Peers

Koldo Gojenola
Comparison fields: 5 of 51
  • Artificial Intelligence 469
  • Toxicology 36
  • Health Information Management 40
  • Health Informatics 9
  • Language and Linguistics 42
Replace Maite Oronoz with:
Maite Oronoz Spain
Hiroshi Masuichi Japan
Thierry Hamon France
Alicia Pérez Spain
Rob Koeling United Kingdom
Abdul Mateen Rajput Germany
Zubair Afzal Netherlands
Yikun Guo United Kingdom
J E Rogers United Kingdom
Martin Duneld Sweden
Koldo Gojenola relative to Maite Oronoz Spain Maite Oronoz's profile →
Citations per field
00.5×1.6×
Maite Oronoz · 1×
Citations per year

Countries citing papers authored by Koldo Gojenola

Since Specialization
Citations

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

Fields of papers citing papers by Koldo Gojenola

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 69 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201568
2 201938
3 200436
4 201636
5 201731
6 201829
7 201328
8 200428
9 200625
10
Improving Dependency Parsing with Semantic Classes
201123
11
Application of Different Techniques to Dependency Parsing of Basque
201015
12 201714
13 200014
14 201413
15 201412
16 201410
17 200810
18 200210
19
Exploring Treebank Transformations in Dependency Parsing
20099
20
Using Kybots for Extracting Events in Biomedical Texts
20119

About Koldo Gojenola

Koldo Gojenola is a scholar working on Artificial Intelligence, Molecular Biology, Cultural Studies, Language and Linguistics and Toxicology, having authored 69 papers that have together received 598 indexed citations. Recurring topics across this work include Natural Language Processing Techniques (46 papers), Topic Modeling (34 papers), Biomedical Text Mining and Ontologies (19 papers), Text Readability and Simplification (11 papers), Basque language and culture studies (8 papers), Semantic Web and Ontologies (7 papers), Speech and dialogue systems (5 papers) and Sentiment Analysis and Opinion Mining (4 papers). The work is most often cited by research in Artificial Intelligence (469 citations), Toxicology (36 citations), Health Information Management (40 citations), Health Informatics (9 citations) and Language and Linguistics (42 citations). Koldo Gojenola has collaborated with scholars based in Spain, Sweden and United States. Frequent co-authors include Maite Oronoz, Arantza Casillas, Alicia Pérez, Nerea Ezeiza, Kepa Sarasola, Eneko Agirre, Rubén Urizar, Arantza Díaz de Ilarraza, Joakim Nivre and Jorge Eduardo Pérez Pérez. Their work appears in journals such as Language Resources and Evaluation, Journal of Biomedical Informatics, Natural Language Engineering, International Journal of Medical Informatics and Expert Systems with Applications.

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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