Piotr Pęzik

848 total citations
28 papers, 330 citations indexed

About

Piotr Pęzik is a scholar working on Artificial Intelligence, Language and Linguistics and Linguistics and Language. According to data from OpenAlex, Piotr Pęzik has authored 28 papers receiving a total of 330 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Artificial Intelligence, 13 papers in Language and Linguistics and 10 papers in Linguistics and Language. Recurrent topics in Piotr Pęzik's work include Natural Language Processing Techniques (12 papers), Language and Culture (8 papers) and Biomedical Text Mining and Ontologies (7 papers). Piotr Pęzik is often cited by papers focused on Natural Language Processing Techniques (12 papers), Language and Culture (8 papers) and Biomedical Text Mining and Ontologies (7 papers). Piotr Pęzik collaborates with scholars based in Poland, United Kingdom and United States. Piotr Pęzik's co-authors include Dietrich Rebholz‐Schuhmann, Jung‐Jae Kim, Dolf Trieschnigg, Wessel Kraaij, Franciska de Jong, Adam Przepiórkowski, John McNaught, Sophia Ananiadou, Simonetta Montemagni⋄ and Yutaka Sasaki and has published in prestigious journals such as SHILAP Revista de lepidopterología, Bioinformatics and BMC Bioinformatics.

In The Last Decade

Piotr Pęzik

22 papers receiving 293 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Piotr Pęzik Poland	11	220	167	64	46	13	28	330
Patrick Drouin Canada	8	246 1.1×	49 0.3×	157 2.5×	14 0.3×	18 1.4×	36	320
Shipra Dingare United Kingdom	9	314 1.4×	185 1.1×	65 1.0×	22 0.5×	19 1.5×	9	376
Ioan-Iovitz Popescu Romania	10	153 0.7×	19 0.1×	48 0.8×	19 0.4×	28 2.2×	37	272
Beáta Megyesi Sweden	12	479 2.2×	34 0.2×	62 1.0×	19 0.4×	47 3.6×	77	567
Mariona Taulé Spain	12	572 2.6×	57 0.3×	86 1.3×	12 0.3×	44 3.4×	56	631
Richard Eckart de Castilho Germany	9	454 2.1×	91 0.5×	43 0.7×	4 0.1×	77 5.9×	24	546
Adeline Nazarenko France	8	239 1.1×	121 0.7×	34 0.5×	6 0.1×	43 3.3×	19	311
Alexander Koplenig Germany	11	180 0.8×	19 0.1×	124 1.9×	53 1.2×	7 0.5×	35	324
van Gerardus Noord	9	394 1.8×	36 0.2×	64 1.0×	17 0.4×	42 3.2×	24	447
Jan Strunk Germany	7	278 1.3×	28 0.2×	59 0.9×	39 0.8×	32 2.5×	13	388

Countries citing papers authored by Piotr Pęzik

Since Specialization

Citations

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

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Grabowski, Łukasz, et al.. (2024). Formulaic language in Old English prose. Journal of Historical Pragmatics. 25(3). 467–498.

Grabowski, Łukasz & Piotr Pęzik. (2023). Marking and breaking phraseology in English and Polish: a comparative corpus-informed study. Poznań Studies in Contemporary Linguistics. 59(3). 551–575.

Pęzik, Piotr, et al.. (2021). Markers of Ælfric's Style. Style. 55(2). 223–223.

Váradi, Tamás, Marko Tadić, Maciej Ogrodniczuk, et al.. (2020). The MARCELL Legislative Corpus. Language Resources and Evaluation. 3761–3768. 6 indexed citations

Pęzik, Piotr, et al.. (2020). „Polszczyzna mówiona miast” – kontynuacja badań z lat 80. XX wieku z wykorzystaniem narzędzi lingwistyki cyfrowej. SHILAP Revista de lepidopterología. 71–87.

Pęzik, Piotr. (2018). Increasing the Accessibility of Time-Aligned Speech Corpora with Spokes Mix. Language Resources and Evaluation. 2 indexed citations

Pęzik, Piotr. (2015). Using n-gram independence to identify discourse-functional lexical units in spoken learner corpus data. 1(2). 242–255. 3 indexed citations

Pęzik, Piotr, et al.. (2014). Degrees of Propositionality in Construals of Time Quantities. Research in Language. 12(4). 341–353.

Pęzik, Piotr. (2014). Spokes search engine for Polish conversational data. 1 indexed citations

10.

Bański, Piotr, et al.. (2013). KorAP: the new corpus analysis platform at IDS Mannheim. Publication Server of the Institute for German Language (Institute for German Language). 586–587. 16 indexed citations

11.

Przepiórkowski, Adam, et al.. (2012). Practical Applications of the National Corpus of Polish. 231–240. 1 indexed citations

12.

Thompson, Paul M., John McNaught, Simonetta Montemagni⋄, et al.. (2011). The BioLexicon: a large-scale terminological resource for biomedical text mining. BMC Bioinformatics. 12(1). 397–397. 41 indexed citations

13.

Przepiórkowski, Adam, et al.. (2011). National Corpus of Polish. 18 indexed citations

14.

Przepiórkowski, Adam, et al.. (2010). Recent Developments in the National Corpus of Polish. Language Resources and Evaluation. 29 indexed citations

15.

Waagmeester, Andra, Piotr Pęzik, Susan L. Coort, et al.. (2009). Pathway Enrichment Based on Text Mining and Its Validation on Carotenoid and Vitamin A Metabolism. OMICS A Journal of Integrative Biology. 13(5). 367–379. 11 indexed citations

16.

Trieschnigg, Dolf, et al.. (2009). MeSH Up: effective MeSH text classification for improved document retrieval. Bioinformatics. 25(11). 1412–1418. 67 indexed citations

17.

Sasaki, Yutaka, Simonetta Montemagni⋄, Piotr Pęzik, et al.. (2008). BioLexicon: A Lexical Resource for the Biology Domain. 26 indexed citations

18.

Rebholz‐Schuhmann, Dietrich, Piotr Pęzik, Jang‐Joo Kim, et al.. (2008). BioLexicon: Towards a Reference Terminological Resource in the Biomedical Domain. Research Explorer (The University of Manchester). 9 indexed citations

19.

Kim, Jung‐Jae, Piotr Pęzik, & Dietrich Rebholz‐Schuhmann. (2008). MedEvi: Retrieving textual evidence of relations between biomedical concepts from Medline. Bioinformatics. 24(11). 1410–1412. 40 indexed citations

20.

Yepes, Antonio Jimeno & Piotr Pęzik. (2007). Information Retrieval and Information Extraction in TREC Genomics 2007.. Text REtrieval Conference. 6 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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