Marcin Gruza
Impact in
- Health Informatics top 1%
- Artificial Intelligence in Healthcare and Education
- Artificial Intelligence top 5%
- Topic Modeling
- Sentiment Analysis and Opinion Mining
- Hate Speech and Cyberbullying Detection
- Natural Language Processing Techniques
- AI in Service Interactions
- Advanced Text Analysis Techniques
Papers in
-
- Hate Speech and Cyberbullying Detection 7
- Sentiment Analysis and Opinion Mining 5
- Topic Modeling 5
- Natural Language Processing Techniques 2
- Adversarial Robustness in Machine Learning 1
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- Misinformation and Its Impacts 3
- Co-authors
- Przemysław Kazienko (11 shared papers)Jan Kocoń (11 shared papers)Kamil Kanclerz (9 shared papers)Piotr Miłkowski (8 shared papers)Julita Bielaniewicz (7 shared papers)Maciej Piasecki (3 shared papers)Igor Cichecki (2 shared papers)Oliwier Kaszyca (2 shared papers)
- Journals
- Information Fusion (2 papers)Information Processing & Management (1 paper)SSRN Electronic Journal (1 paper)
In The Last Decade
Marcin Gruza
12 papers receiving 586 citations
Marcin Gruza's Hit Papers
Peers
Comparison fields: 5 of 94
- Health Informatics 128
- Artificial Intelligence 414
- Computer Science Applications 36
- General Social Sciences 16
- Safety Research 30
Countries citing papers authored by Marcin Gruza
This map shows the geographic impact of Marcin Gruza'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 Marcin Gruza with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Marcin Gruza more than expected).
Fields of papers citing papers by Marcin Gruza
This network shows the impact of papers produced by Marcin Gruza. 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 Marcin Gruza. The network helps show where Marcin Gruza may publish in the future.
Co-authors
The 20 scholars most cited alongside Marcin Gruza, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | ChatGPT: Jack of all trades, master of none Hit paper breakdown → | 2023 | 407 |
| 2 | 2021 | 73 | |
| 3 | 2023 | 25 | |
| 4 | 2021 | 24 | |
| 5 | 2021 | 24 | |
| 6 | 2023 | 23 | |
| 7 | 2021 | 18 | |
| 8 | 2022 | 13 | |
| 9 | 2022 | 7 | |
| 10 | 2023 | 6 | |
| 11 | 2022 | 3 | |
| 12 | 2023 | 2 | |
| 13 | 2023 | 0 |
About Marcin Gruza
Marcin Gruza is a scholar working on Artificial Intelligence, Sociology and Political Science, Social Psychology, Information Systems and Computer Vision and Pattern Recognition, having authored 13 papers that have together received 625 indexed citations. Recurring topics across this work include Hate Speech and Cyberbullying Detection (7 papers), Sentiment Analysis and Opinion Mining (5 papers), Topic Modeling (5 papers), Misinformation and Its Impacts (3 papers), Natural Language Processing Techniques (2 papers), Spam and Phishing Detection (1 paper), Adversarial Robustness in Machine Learning (1 paper) and Bullying, Victimization, and Aggression (1 paper). The work is most often cited by research in Health Informatics (128 citations), Artificial Intelligence (414 citations), Computer Science Applications (36 citations), General Social Sciences (16 citations) and Safety Research (30 citations). Marcin Gruza has collaborated with scholars based in Poland and Canada. Frequent co-authors include Przemysław Kazienko, Jan Kocoń, Kamil Kanclerz, Piotr Miłkowski, Julita Bielaniewicz, Maciej Piasecki, Igor Cichecki, Oliwier Kaszyca, Konrad Wojtasik and Stanisław Woźniak. Their work appears in journals such as Information Fusion, Information Processing & Management and SSRN Electronic Journal.
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.