Marek Pawlicki
- Oncology top 2%
- Artificial Intelligence top 2%
- Computer Networks and Communications top 2%
- Hematology top 2%
- Pulmonary and Respiratory Medicine top 5%
- Co-authors
- Michał ChoraśRafał KozikMaciej KrzakowskiDavid GordonDirk J. ReitsmaLee S. RosenMing ZhengGladys Urbanowitz
- Topics
- Network Security and Intrusion Detection (28 papers)Advanced Malware Detection Techniques (19 papers)Anomaly Detection Techniques and Applications (15 papers)
- Cited by
- OncologyHematologySignal Processing
In The Last Decade
Marek Pawlicki
102 papers receiving 3.0k citations
Hit Papers
Peers
Comparison fields: 5 of 151
- Oncology 1.5k
- Artificial Intelligence 581
- Computer Networks and Communications 564
- Hematology 529
- Pulmonary and Respiratory Medicine 504
Countries citing papers authored by Marek Pawlicki
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).
Fields of papers citing papers by Marek Pawlicki
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.
Co-authorship network of co-authors of Marek Pawlicki
This figure shows the co-authorship network connecting the top 25 collaborators of Marek Pawlicki. A scholar is included among the top collaborators of Marek Pawlicki 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 Marek Pawlicki. Marek Pawlicki is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 3 | |
| 3 | 3 | |
| 4 | 5 | |
| 5 | 12 | |
| 6 | 3 | |
| 7 | 0 | |
| 8 | 5 | |
| 9 | 11 | |
| 10 | 2 | |
| 11 | 9 | |
| 12 | 0 | |
| 13 | 26 | |
| 14 | 82 | |
| 15 | 17 | |
| 16 | Badania procesów tłoczenia i zgniatania obrotowego wytłoczek z materiału trudno odkształcalnego Alloy 825 | 1 |
| 17 | Treatment of cancer associated anaemia | 0 |
| 18 | Management of disease related anaemia in cancer patients | 0 |
| 19 | New anticancer drugs - future directions | 1 |
| 20 | 80 |
About Marek Pawlicki
Marek Pawlicki is a scholar working on Signal Processing, Computational Mathematics and Computer Networks and Communications, having authored 117 papers that have together received 3.2k indexed citations. Recurring topics across this work include Network Security and Intrusion Detection (28 papers), Advanced Malware Detection Techniques (19 papers) and Anomaly Detection Techniques and Applications (15 papers). The work is most often cited by research in Oncology (1.5k citations), Hematology (529 citations) and Signal Processing (388 citations). Marek Pawlicki has collaborated with scholars based in Poland, Germany and Hungary. Frequent co-authors include Michał Choraś, Rafał Kozik, Maciej Krzakowski, David Gordon, Dirk J. Reitsma, Lee S. Rosen, Ming Zheng, Gladys Urbanowitz, Vera Hirsh and Paul de Souza. Their work appears in journals such as Journal of Clinical Oncology, PLoS ONE and Cancer.
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.