Kamil Kanclerz

1.5k total citations · 1 hit paper
11 papers, 529 citations indexed

About

Kamil Kanclerz is a scholar working on Artificial Intelligence, Sociology and Political Science and Social Psychology. According to data from OpenAlex, Kamil Kanclerz has authored 11 papers receiving a total of 529 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Artificial Intelligence, 3 papers in Sociology and Political Science and 1 paper in Social Psychology. Recurrent topics in Kamil Kanclerz's work include Topic Modeling (6 papers), Hate Speech and Cyberbullying Detection (5 papers) and Sentiment Analysis and Opinion Mining (4 papers). Kamil Kanclerz is often cited by papers focused on Topic Modeling (6 papers), Hate Speech and Cyberbullying Detection (5 papers) and Sentiment Analysis and Opinion Mining (4 papers). Kamil Kanclerz collaborates with scholars based in Poland. Kamil Kanclerz's co-authors include Jan Kocoń, Piotr Miłkowski, Przemysław Kazienko, Marcin Gruza, Julita Bielaniewicz, Maciej Piasecki, Łukasz Radliński, Konrad Wojtasik, Stanisław Woźniak and A. Kocoń and has published in prestigious journals such as Information Fusion, Procedia Computer Science and SSRN Electronic Journal.

In The Last Decade

Kamil Kanclerz

11 papers receiving 495 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

ChatGPT: Jack of all trades, master of none

2023 373 citations Jan Kocoń, Igor Cichecki et al. Information Fusion profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Kamil Kanclerz Poland	8	359	123	51	46	41	11	529
Piotr Miłkowski Poland	10	399 1.1×	123 1.0×	51 1.0×	51 1.1×	44 1.1×	17	581
Marcin Gruza Poland	8	405 1.1×	125 1.0×	53 1.0×	62 1.3×	48 1.2×	13	581
Julita Bielaniewicz Poland	6	295 0.8×	124 1.0×	52 1.0×	36 0.8×	36 0.9×	8	458
Arkadiusz Janz Poland	7	297 0.8×	119 1.0×	46 0.9×	36 0.8×	36 0.9×	19	465
Marcin Oleksy Poland	6	277 0.8×	118 1.0×	46 0.9×	34 0.7×	33 0.8×	19	456
Konrad Wojtasik Poland	3	252 0.7×	118 1.0×	47 0.9×	30 0.7×	31 0.8×	3	442
Oliwier Kaszyca Poland	3	246 0.7×	122 1.0×	48 0.9×	32 0.7×	31 0.8×	3	404
Igor Cichecki Poland	3	246 0.7×	122 1.0×	48 0.9×	32 0.7×	31 0.8×	3	404
Mateusz Kochanek Poland	3	246 0.7×	122 1.0×	48 0.9×	32 0.7×	31 0.8×	3	404
Bartłomiej Koptyra Poland	3	246 0.7×	118 1.0×	46 0.9×	30 0.7×	32 0.8×	5	403

Countries citing papers authored by Kamil Kanclerz

Since Specialization

Citations

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

Fields of papers citing papers by Kamil Kanclerz

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kamil Kanclerz

This figure shows the co-authorship network connecting the top 25 collaborators of Kamil Kanclerz. A scholar is included among the top collaborators of Kamil Kanclerz 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 Kamil Kanclerz. Kamil Kanclerz 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:

11 of 11 papers shown

1.

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 →

2.

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

3.

Kanclerz, Kamil, Julita Bielaniewicz, Marcin Gruza, et al.. (2023). Towards Model-Based Data Acquisition for Subjective Multi-Task NLP Problems. 726–735. 2 indexed citations

4.

Kocoń, Jan, Igor Cichecki, Oliwier Kaszyca, et al.. (2023). Chatgpt: Jack of All Trades, Master of None. SSRN Electronic Journal. 24 indexed citations

5.

Kanclerz, Kamil, Julita Bielaniewicz, Marcin Gruza, et al.. (2023). PALS: Personalized Active Learning for Subjective Tasks in NLP. 13326–13341. 6 indexed citations

6.

Bielaniewicz, Julita, Kamil Kanclerz, Piotr Miłkowski, et al.. (2022). Deep-SHEEP: Sense of Humor Extraction from Embeddings in the Personalized Context. 7 indexed citations

7.

Kanclerz, Kamil & Maciej Piasecki. (2022). Deep Neural Representations for Multiword Expressions Detection. 444–453. 4 indexed citations

8.

Miłkowski, Piotr, et al.. (2021). Personal Bias in Prediction of Emotions Elicited by Textual Opinions. 248–259. 22 indexed citations

9.

Kanclerz, Kamil, et al.. (2021). Controversy and Conformity: from Generalized to Personalized Aggressiveness Detection. 5915–5926. 18 indexed citations

10.

Kocoń, Jan, Marcin Gruza, Julita Bielaniewicz, et al.. (2021). Learning Personal Human Biases and Representations for Subjective Tasks in Natural Language Processing. 1168–1173. 23 indexed citations

11.

Kanclerz, Kamil, Piotr Miłkowski, & Jan Kocoń. (2020). Cross-lingual deep neural transfer learning in sentiment analysis. Procedia Computer Science. 176. 128–137. 28 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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