Małgorzata Marciniak

66 total papers · 414 total citations
28 papers, 183 citations indexed

About

Małgorzata Marciniak is a scholar working on Artificial Intelligence, Molecular Biology and Language and Linguistics. According to data from OpenAlex, Małgorzata Marciniak has authored 28 papers receiving a total of 183 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Artificial Intelligence, 8 papers in Molecular Biology and 6 papers in Language and Linguistics. Recurrent topics in Małgorzata Marciniak's work include Natural Language Processing Techniques (19 papers), Biomedical Text Mining and Ontologies (8 papers) and Semantic Web and Ontologies (7 papers). Małgorzata Marciniak is often cited by papers focused on Natural Language Processing Techniques (19 papers), Biomedical Text Mining and Ontologies (8 papers) and Semantic Web and Ontologies (7 papers). Małgorzata Marciniak collaborates with scholars based in Poland, United States and Luxembourg. Małgorzata Marciniak's co-authors include Agnieszka Mykowiecka, Aleksander Wawer, Franck Leprévost, Pascal Bouvry, Mieczysław A. Kłopotek, Sławomir T. Wierzchoń, Henryk Rybiński and Marcin Woliński and has published in prestigious journals such as Journal of Biomedical Informatics, Lecture notes in computer science and Language Resources and Evaluation.

In The Last Decade

Małgorzata Marciniak

25 papers receiving 170 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Małgorzata Marciniak 144 78 20 20 14 28 183
Agnieszka Mykowiecka 160 1.1× 78 1.0× 20 1.0× 22 1.1× 15 1.1× 31 205
Julia Ive 187 1.3× 28 0.4× 12 0.6× 8 0.4× 17 1.2× 28 232
Paul Michel 135 0.9× 40 0.5× 12 0.6× 6 0.3× 3 0.2× 23 216
Vipina K. Keloth 98 0.7× 70 0.9× 15 0.8× 5 0.3× 5 0.4× 26 156
Lorraine Goeuriot 215 1.5× 88 1.1× 16 0.8× 11 0.6× 2 0.1× 33 269
Vincent Claveau 156 1.1× 64 0.8× 10 0.5× 7 0.3× 3 0.2× 40 230
James Ryan 113 0.8× 48 0.6× 12 0.6× 7 0.3× 6 0.4× 21 166
Jeremy Rogers 147 1.0× 157 2.0× 25 1.3× 22 1.1× 18 200
Brigitte Grau 142 1.0× 41 0.5× 7 0.3× 6 0.3× 3 0.2× 31 162
Emmanuel Morin 227 1.6× 36 0.5× 6 0.3× 23 1.1× 3 0.2× 39 250

Countries citing papers authored by Małgorzata Marciniak

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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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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2026