Petra Povalej
- General Health Professions top 10%
- Endocrinology, Diabetes and Metabolism
- Molecular Biology
- Nutrition and Dietetics
- Physiology
- Co-authors
- Majda PajnkiharGregor ŠtiglicNataša Marčun VardaNino FijačkoTomaž LangerholcLászló VargaTanja DmitrovićMateja Lorber
- Topics
- Data Mining Algorithms and Applications (4 papers)Artificial Intelligence in Healthcare (4 papers)Evolutionary Algorithms and Applications (3 papers)
- Journals
- SHILAP Revista de lepidopterologíaPLoS ONEInternational Journal of Environmental Research and Public Health
- Partner nations
- SloveniaUnited StatesAustralia
In The Last Decade
Petra Povalej
32 papers receiving 432 citations
Peers
Comparison fields: 5 of 102
- General Health Professions 124
- Endocrinology, Diabetes and Metabolism 65
- Molecular Biology 57
- Nutrition and Dietetics 56
- Physiology 52
Countries citing papers authored by Petra Povalej
This map shows the geographic impact of Petra Povalej'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 Petra Povalej with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Petra Povalej more than expected).
Fields of papers citing papers by Petra Povalej
This network shows the impact of papers produced by Petra Povalej. 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 Petra Povalej. The network helps show where Petra Povalej may publish in the future.
Co-authorship network of co-authors of Petra Povalej
This figure shows the co-authorship network connecting the top 25 collaborators of Petra Povalej. A scholar is included among the top collaborators of Petra Povalej 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 Petra Povalej. Petra Povalej is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 0 | |
| 3 | 0 | |
| 4 | 1 | |
| 5 | 3 | |
| 6 | 2 | |
| 7 | 1 | |
| 8 | 4 | |
| 9 | 3 | |
| 10 | 15 | |
| 11 | 63 | |
| 12 | 32 | |
| 13 | 4 | |
| 14 | 14 | |
| 15 | 9 | |
| 16 | 125 | |
| 17 | 15 | |
| 18 | End user friendly data mining with decision trees: a reality or a wish? | 2 |
| 19 | 4 | |
| 20 | Using cellular automata to predict reliability of modules. | 1 |
About Petra Povalej
Petra Povalej is a scholar working on Health Information Management, Issues, ethics and legal aspects and Otorhinolaryngology, having authored 37 papers that have together received 451 indexed citations. Recurring topics across this work include Data Mining Algorithms and Applications (4 papers), Artificial Intelligence in Healthcare (4 papers) and Evolutionary Algorithms and Applications (3 papers). The work is most often cited by research in Health Information Management (31 citations), Applied Psychology (34 citations) and General Health Professions (124 citations). Petra Povalej has collaborated with scholars based in Slovenia, United States and Australia. Frequent co-authors include Majda Pajnkihar, Gregor Štiglic, Nataša Marčun Varda, Nino Fijačko, Tomaž Langerholc, László Varga, Tanja Dmitrović, Mateja Lorber, Peter Lewis and Sabina Fijan. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and International Journal of Environmental Research and Public Health.
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.