Igor Cichecki

780 citations
4 papers · 441 · 1 hit paper · h-index 3

Impact in

    • Artificial Intelligence in Healthcare and Education
    • Topic Modeling
    • AI in Service Interactions
    • Sentiment Analysis and Opinion Mining
    • Natural Language Processing Techniques

Papers in

Igor Cichecki

3 papers receiving 418 citations

Igor Cichecki's Hit Papers

ChatGPT: Jack of all trades, master of none 2023 · 407 citations
4070+1+2Years since publication100200300400

Peers

Igor Cichecki
Comparison fields: 5 of 92
  • Health Informatics 125
  • Artificial Intelligence 252
  • Computer Science Applications 35
  • General Social Sciences 13
  • Safety Research 29
Replace Oliwier Kaszyca with:
Oliwier Kaszyca Poland
Mateusz Kochanek Poland
Bartłomiej Koptyra Poland
Łukasz Radliński Poland
Konrad Wojtasik Poland
Julita Bielaniewicz Poland
Arkadiusz Janz Poland
Marcin Oleksy Poland
Kamil Kanclerz Poland
Stanisław Woźniak Poland
Igor Cichecki relative to Oliwier Kaszyca Poland Oliwier Kaszyca's profile →
Citations per field
00.5×1.5×
Oliwier Kaszyca · 1×
Citations per year

Countries citing papers authored by Igor Cichecki

Since Specialization
Citations

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

Fields of papers citing papers by Igor Cichecki

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 18 scholars most cited alongside Igor Cichecki, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Igor Cichecki Line = papers co-authored together Igor Cichecki links everyone, so they are left out of the graph.

All Works

4 of 4 papers shown
#Work
1
ChatGPT: Jack of all trades, master of none
Hit paper breakdown →
2023407
2 202325
3 20249
4 20250

About Igor Cichecki

Igor Cichecki is a scholar working on Health Informatics, Artificial Intelligence, Radiology, Nuclear Medicine and Imaging, Communication and Infectious Diseases, having authored 4 papers that have together received 441 indexed citations. Recurring topics across this work include Artificial Intelligence in Healthcare and Education (2 papers), COVID-19 diagnosis using AI (2 papers), Topic Modeling (2 papers) and Public Relations and Crisis Communication (1 paper). The work is most often cited by research in Health Informatics (125 citations), Artificial Intelligence (252 citations), Computer Science Applications (35 citations), General Social Sciences (13 citations) and Safety Research (29 citations). Igor Cichecki has collaborated with scholars based in Poland, China and Canada. Frequent co-authors include Oliwier Kaszyca, Przemysław Kazienko, Jan Kocoń, Mateusz Kochanek, Piotr Miłkowski, Konrad Wojtasik, Stanisław Woźniak, Joanna Baran, Marcin Gruza and Bartłomiej Koptyra. Their work appears in journals such as Information Fusion, Journal of Contingencies and Crisis Management, Electronics 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.

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