Małgorzata Marciniak
- Artificial Intelligence top 10%
- Molecular Biology
- Health Information Management top 10%
- Language and Linguistics
- Management Science and Operations Research
- Co-authors
- Agnieszka MykowieckaAleksander WawerSławomir T. WierzchońMieczysław A. KłopotekMarcin Woliński
- Topics
- Natural Language Processing Techniques (19 papers)Biomedical Text Mining and Ontologies (8 papers)Semantic Web and Ontologies (7 papers)
- Journals
- Journal of Biomedical InformaticsLecture notes in computer scienceLanguage Resources and Evaluation
- Partner nations
- PolandFranceUnited States
In The Last Decade
Małgorzata Marciniak
24 papers receiving 168 citations
Peers
Comparison fields: 5 of 47
- Artificial Intelligence 144
- Molecular Biology 78
- Health Information Management 20
- Language and Linguistics 20
- Management Science and Operations Research 14
Countries citing papers authored by Małgorzata Marciniak
This map shows the geographic impact of Małgorzata Marciniak'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 Małgorzata Marciniak with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Małgorzata Marciniak more than expected).
Fields of papers citing papers by Małgorzata Marciniak
This network shows the impact of papers produced by Małgorzata Marciniak. 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 Małgorzata Marciniak. The network helps show where Małgorzata Marciniak may publish in the future.
Co-authorship network of co-authors of Małgorzata Marciniak
This figure shows the co-authorship network connecting the top 25 collaborators of Małgorzata Marciniak. A scholar is included among the top collaborators of Małgorzata Marciniak 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 Małgorzata Marciniak. Małgorzata Marciniak is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | 0 | |
| 4 | 2 | |
| 5 | 2 | |
| 6 | SimLex-999 for Polish. | 3 |
| 7 | 2 | |
| 8 | 7 | |
| 9 | TermoPL - a Flexible Tool for Terminology Extraction. | 3 |
| 10 | 1 | |
| 11 | 17 | |
| 12 | Combining Wordnet and Morphosyntactic Information in Terminology Clustering | 3 |
| 13 | Towards Morphologically Annotated Corpus of Hospital Discharge Reports in Polish | 10 |
| 14 | Construction of a medical corpus based on information extraction results | 1 |
| 15 | Medical text data anonymization | 3 |
| 16 | 3 | |
| 17 | 94 | |
| 18 | 3 | |
| 19 | Modułowa konstrukcja honownicy. | 0 |
| 20 | Making Shallow Look Deeper: Anaphora and Comparisons in Medical Information Extraction | 1 |
About Małgorzata Marciniak
Małgorzata Marciniak is a scholar working on Linguistics and Language, Architecture and Artificial Intelligence, having authored 27 papers that have together received 181 indexed citations. Recurring topics across this work include Natural Language Processing Techniques (19 papers), Biomedical Text Mining and Ontologies (8 papers) and Semantic Web and Ontologies (7 papers). The work is most often cited by research in Artificial Intelligence (144 citations), Health Information Management (20 citations) and Language and Linguistics (20 citations). Małgorzata Marciniak has collaborated with scholars based in Poland, France and United States. Frequent co-authors include Agnieszka Mykowiecka, Aleksander Wawer, Sławomir T. Wierzchoń, Mieczysław A. Kłopotek and Marcin Woliński. Their work appears in journals such as Journal of Biomedical Informatics, Lecture notes in computer science and Language Resources and Evaluation.
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.