Piotr Pęzik
- Artificial Intelligence top 5%
- Molecular Biology
- Language and Linguistics top 5%
- Linguistics and Language top 10%
- Information Systems
- Co-authors
- Dietrich Rebholz‐SchuhmannJung‐Jae KimWessel KraaijFranciska de JongDolf TrieschniggAdam PrzepiórkowskiJohn McNaughtSimonetta Montemagni⋄
- Topics
- Natural Language Processing Techniques (12 papers)Language and Culture (8 papers)Biomedical Text Mining and Ontologies (7 papers)
- Journals
- SHILAP Revista de lepidopterologíaBioinformaticsBMC Bioinformatics
- Partner nations
- PolandUnited KingdomUnited States
In The Last Decade
Piotr Pęzik
22 papers receiving 293 citations
Peers
Comparison fields: 5 of 57
- Artificial Intelligence 220
- Molecular Biology 167
- Language and Linguistics 64
- Linguistics and Language 46
- Information Systems 13
Countries citing papers authored by Piotr Pęzik
This map shows the geographic impact of Piotr Pęzik'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 Piotr Pęzik with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Piotr Pęzik more than expected).
Fields of papers citing papers by Piotr Pęzik
This network shows the impact of papers produced by Piotr Pęzik. 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 Piotr Pęzik. The network helps show where Piotr Pęzik may publish in the future.
Co-authorship network of co-authors of Piotr Pęzik
This figure shows the co-authorship network connecting the top 25 collaborators of Piotr Pęzik. A scholar is included among the top collaborators of Piotr Pęzik 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 Piotr Pęzik. Piotr Pęzik 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 | 0 | |
| 3 | 0 | |
| 4 | 0 | |
| 5 | The MARCELL Legislative Corpus | 6 |
| 6 | Increasing the Accessibility of Time-Aligned Speech Corpora with Spokes Mix | 2 |
| 7 | 3 | |
| 8 | 0 | |
| 9 | Spokes search engine for Polish conversational data | 1 |
| 10 | KorAP: the new corpus analysis platform at IDS Mannheim | 16 |
| 11 | Practical Applications of the National Corpus of Polish | 1 |
| 12 | 41 | |
| 13 | National Corpus of Polish | 18 |
| 14 | Recent Developments in the National Corpus of Polish | 29 |
| 15 | 11 | |
| 16 | 67 | |
| 17 | BioLexicon: Towards a Reference Terminological Resource in the Biomedical Domain | 9 |
| 18 | BioLexicon: A Lexical Resource for the Biology Domain | 26 |
| 19 | 40 | |
| 20 | Information Retrieval and Information Extraction in TREC Genomics 2007. | 6 |
About Piotr Pęzik
Piotr Pęzik is a scholar working on Linguistics and Language, Language and Linguistics and Artificial Intelligence, having authored 28 papers that have together received 330 indexed citations. Recurring topics across this work include Natural Language Processing Techniques (12 papers), Language and Culture (8 papers) and Biomedical Text Mining and Ontologies (7 papers). The work is most often cited by research in Linguistics and Language (46 citations), Artificial Intelligence (220 citations) and Language and Linguistics (64 citations). Piotr Pęzik has collaborated with scholars based in Poland, United Kingdom and United States. Frequent co-authors include Dietrich Rebholz‐Schuhmann, Jung‐Jae Kim, Wessel Kraaij, Franciska de Jong, Dolf Trieschnigg, Adam Przepiórkowski, John McNaught, Simonetta Montemagni⋄, Sophia Ananiadou and Yutaka Sasaki. Their work appears in journals such as SHILAP Revista de lepidopterología, Bioinformatics and BMC Bioinformatics.
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.