Marek Pawlicki

98 papers and 2.8k indexed citations i.

About

Marek Pawlicki is a scholar working on Artificial Intelligence, Oncology and Computer Networks and Communications. According to data from OpenAlex, Marek Pawlicki has authored 98 papers receiving a total of 2.8k indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Artificial Intelligence, 26 papers in Oncology and 24 papers in Computer Networks and Communications. Recurrent topics in Marek Pawlicki’s work include Network Security and Intrusion Detection (23 papers), Advanced Malware Detection Techniques (15 papers) and Cancer Treatment and Pharmacology (15 papers). Marek Pawlicki is often cited by papers focused on Network Security and Intrusion Detection (23 papers), Advanced Malware Detection Techniques (15 papers) and Cancer Treatment and Pharmacology (15 papers). Marek Pawlicki collaborates with scholars based in Poland, Germany and Hungary. Marek Pawlicki's co-authors include Michał Choraś, Rafał Kozik, Maciej Krzakowski, Vera Hirsh, Gladys Urbanowitz, Ronald Yanagihara, Lee S. Rosen, David Gordon, Paul de Souza and Ming Zheng and has published in prestigious journals such as Journal of Clinical Oncology, PLoS ONE and Cancer Research.

In The Last Decade

Co-authorship network of co-authors of Marek Pawlicki i

Fields of papers citing papers by Marek Pawlicki

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Marek Pawlicki

Since Specialization
Citations

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

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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2025