Aleksandra Pawlicka
- Information Systems top 10%
- Artificial Intelligence
- Sociology and Political Science
- Computer Networks and Communications
- Signal Processing
- Co-authors
- Marek PawlickiMichał ChoraśRafał KozikRyszard S. ChoraśKrzysztof CabajSalvatore D’AntonioWojciech MazurczykKrystyna Jaracz
- Topics
- Misinformation and Its Impacts (9 papers)Advanced Malware Detection Techniques (7 papers)Spam and Phishing Detection (6 papers)
- Journals
- SHILAP Revista de lepidopterologíaPLoS ONEIEEE Access
In The Last Decade
Aleksandra Pawlicka
32 papers receiving 229 citations
Peers
Comparison fields: 5 of 80
- Information Systems 97
- Artificial Intelligence 71
- Sociology and Political Science 64
- Computer Networks and Communications 46
- Signal Processing 40
Countries citing papers authored by Aleksandra Pawlicka
This map shows the geographic impact of Aleksandra Pawlicka'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 Aleksandra Pawlicka with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Aleksandra Pawlicka more than expected).
Fields of papers citing papers by Aleksandra Pawlicka
This network shows the impact of papers produced by Aleksandra Pawlicka. 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 Aleksandra Pawlicka. The network helps show where Aleksandra Pawlicka may publish in the future.
Co-authorship network of co-authors of Aleksandra Pawlicka
This figure shows the co-authorship network connecting the top 25 collaborators of Aleksandra Pawlicka. A scholar is included among the top collaborators of Aleksandra Pawlicka 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 Aleksandra Pawlicka. Aleksandra Pawlicka 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 | 11 | |
| 12 | Development and Psychometric Properties of the Caregiver Burden Scale in Polish Caregivers of Stroke Patients | 9 |
| 13 | 1 | |
| 14 | 1 | |
| 15 | 4 | |
| 16 | 9 | |
| 17 | 0 | |
| 18 | 26 | |
| 19 | 17 | |
| 20 | 2 |
About Aleksandra Pawlicka
Aleksandra Pawlicka is a scholar working on Information Systems, Health Informatics and Signal Processing, having authored 41 papers that have together received 237 indexed citations. Recurring topics across this work include Misinformation and Its Impacts (9 papers), Advanced Malware Detection Techniques (7 papers) and Spam and Phishing Detection (6 papers). The work is most often cited by research in Health Informatics (16 citations), Information Systems (97 citations) and Signal Processing (40 citations). Aleksandra Pawlicka has collaborated with scholars based in Poland, Germany and Italy. Frequent co-authors include Marek Pawlicki, Michał Choraś, Rafał Kozik, Ryszard S. Choraś, Krzysztof Cabaj, Salvatore D’Antonio, Wojciech Mazurczyk, Krystyna Jaracz, Barbara Grabowska-Fudala and Krystyna Górna. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and IEEE Access.
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.