Jan Kocoń

2.5k total citations · 1 hit paper
53 papers, 822 citations indexed

About

Jan Kocoń is a scholar working on Artificial Intelligence, Sociology and Political Science and Social Psychology. According to data from OpenAlex, Jan Kocoń has authored 53 papers receiving a total of 822 indexed citations (citations by other indexed papers that have themselves been cited), including 50 papers in Artificial Intelligence, 8 papers in Sociology and Political Science and 5 papers in Social Psychology. Recurrent topics in Jan Kocoń's work include Topic Modeling (29 papers), Sentiment Analysis and Opinion Mining (22 papers) and Natural Language Processing Techniques (21 papers). Jan Kocoń is often cited by papers focused on Topic Modeling (29 papers), Sentiment Analysis and Opinion Mining (22 papers) and Natural Language Processing Techniques (21 papers). Jan Kocoń collaborates with scholars based in Poland and United States. Jan Kocoń's co-authors include Piotr Miłkowski, Przemysław Kazienko, Marcin Gruza, Kamil Kanclerz, Maciej Piasecki, Arkadiusz Janz, Julita Bielaniewicz, Marcin Oleksy, Stanisław Woźniak and Igor Cichecki and has published in prestigious journals such as SHILAP Revista de lepidopterología, Information Fusion and Behavior Research Methods.

In The Last Decade

Jan Kocoń

46 papers receiving 753 citations

Hit Papers

ChatGPT: Jack of all trades, master of none 2023 2026 2024 2025 2023 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jan Kocoń Poland 12 609 130 82 61 60 53 822
Maciej Piasecki Poland 15 796 1.3× 120 0.9× 74 0.9× 98 1.6× 45 0.8× 115 1.1k
Marcin Gruza Poland 8 405 0.7× 125 1.0× 62 0.8× 48 0.8× 42 0.7× 13 581
Piotr Miłkowski Poland 10 399 0.7× 123 0.9× 51 0.6× 44 0.7× 37 0.6× 17 581
Kamil Kanclerz Poland 8 359 0.6× 123 0.9× 46 0.6× 41 0.7× 35 0.6× 11 529
Arkadiusz Janz Poland 7 297 0.5× 119 0.9× 36 0.4× 36 0.6× 28 0.5× 19 465
Ashraf Abdul Singapore 6 657 1.1× 173 1.3× 59 0.7× 99 1.6× 90 1.5× 7 956
Julita Bielaniewicz Poland 6 295 0.5× 124 1.0× 36 0.4× 36 0.6× 27 0.5× 8 458
Marcin Oleksy Poland 6 277 0.5× 118 0.9× 34 0.4× 33 0.5× 22 0.4× 19 456
Danding Wang China 8 698 1.1× 173 1.3× 146 1.8× 151 2.5× 91 1.5× 18 1.0k
Lefteris Moussiades Greece 7 489 0.8× 107 0.8× 81 1.0× 140 2.3× 66 1.1× 20 724

Countries citing papers authored by Jan Kocoń

Since Specialization
Citations

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

Fields of papers citing papers by Jan Kocoń

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jan Kocoń

This figure shows the co-authorship network connecting the top 25 collaborators of Jan Kocoń. A scholar is included among the top collaborators of Jan Kocoń 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 Jan Kocoń. Jan Kocoń is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
3.
Piasecki, Maciej, et al.. (2025). CLARIN-PL: a user centred language technology infrastructure. Language Resources and Evaluation. 59(4). 4493–4528.
4.
Kocoń, Jan, et al.. (2024). Fortifying NLP models against poisoning attacks: The power of personalized prediction architectures. Information Fusion. 114. 102692–102692. 2 indexed citations
5.
Kochanek, Mateusz, et al.. (2024). Improving Training Dataset Balance with ChatGPT Prompt Engineering. Electronics. 13(12). 2255–2255. 7 indexed citations
6.
Kocoń, Jan, et al.. (2024). Into the Unknown: Self-Learning Large Language Models. 423–432. 2 indexed citations
7.
Koptyra, Bartłomiej, et al.. (2024). Personalized Large Language Models. 511–520. 6 indexed citations
9.
Kocoń, Jan, Igor Cichecki, Oliwier Kaszyca, et al.. (2023). ChatGPT: Jack of all trades, master of none. Information Fusion. 99. 101861–101861. 373 indexed citations breakdown →
10.
Kazienko, Przemysław, Julita Bielaniewicz, Marcin Gruza, et al.. (2023). Human-centered neural reasoning for subjective content processing: Hate speech, emotions, and humor. Information Fusion. 94. 43–65. 22 indexed citations
11.
Miłkowski, Piotr, et al.. (2023). Migrants vs. stayers in the pandemic – A sentiment analysis of Twitter content. SHILAP Revista de lepidopterología. 10. 100059–100059. 4 indexed citations
12.
Kocoń, Jan, et al.. (2021). Offensive, aggressive, and hate speech analysis: From data-centric to human-centered approach. Information Processing & Management. 58(5). 102643–102643. 68 indexed citations
13.
Kocoń, Jan & Arkadiusz Janz. (2019). Propagation of emotions, arousal and polarity in WordNet using Heterogeneous Structured Synset Embeddings. 336–341. 8 indexed citations
14.
Kocoń, Jan, et al.. (2019). Multi-level analysis and recognition of the text sentiment on the example of consumer opinions. 559–567. 12 indexed citations
15.
Kocoń, Jan, Arkadiusz Janz, & Maciej Piasecki. (2018). Classifier-based Polarity Propagation in a WordNet. Language Resources and Evaluation. 10 indexed citations
16.
Kocoń, Jan, Arkadiusz Janz, & Maciej Piasecki. (2018). Context-sensitive Sentiment Propagation in WordNet. 329–334. 9 indexed citations
17.
Marcińczuk, Michał, Marcin Oleksy, & Jan Kocoń. (2017). Inforex—a Collaborative System for Text Corpora Annotation and Analysis. 473–482. 6 indexed citations
18.
Kocoń, Jan & Michał Marcińczuk. (2017). Improved Recognition and Normalisation of Polish Temporal Expressions. 387–393. 3 indexed citations
19.
Piasecki, Maciej, et al.. (2017). Recognition of Genuine Polish Suicide Notes. 583–591. 4 indexed citations
20.
Marcińczuk, Michał, Jan Kocoń, & Bartosz Broda. (2012). Inforex -- a web-based tool for text corpus management and semantic annotation. Language Resources and Evaluation. 224–230. 10 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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