Senka Pantic
Impact in
- Biophysics top 5%
- Cell Image Analysis Techniques
- Applied Psychology top 10%
- Digital Mental Health Interventions
Papers in
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- Fractal and DNA sequence analysis 4
- Gene expression and cancer classification 3
- Single-cell and spatial transcriptomics 2
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- Cell Image Analysis Techniques 6
- Co-authors
- Igor Pantić (21 shared papers)Siniša Ristić (2 shared papers)Aleksandar Damjanović (1 shared paper)Jovana Todorović (1 shared paper)Jovana Paunović (10 shared papers)Gordana Basta-Jovanović (4 shared papers)Milan Perović (3 shared papers)Sanja Peković (3 shared papers)
In The Last Decade
Senka Pantic
22 papers receiving 601 citations
Peers
Comparison fields: 5 of 122
- Biophysics 66
- Applied Psychology 52
- Communication 42
- Biological Psychiatry 11
- Sociology and Political Science 186
Countries citing papers authored by Senka Pantic
This map shows the geographic impact of Senka Pantic'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 Senka Pantic with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Senka Pantic more than expected).
Fields of papers citing papers by Senka Pantic
This network shows the impact of papers produced by Senka Pantic. 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 Senka Pantic. The network helps show where Senka Pantic may publish in the future.
Co-authors
The 25 scholars most cited alongside Senka Pantic, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Association between online social networking and depression in high school students: behavioral physiology viewpoint. | 2012 | 256 |
| 2 | 2012 | 42 | |
| 3 | 2014 | 31 | |
| 4 | 2012 | 30 | |
| 5 | 2013 | 30 | |
| 6 | 2015 | 28 | |
| 7 | 2012 | 26 | |
| 8 | 2015 | 24 | |
| 9 | 2013 | 20 | |
| 10 | 2019 | 19 | |
| 11 | 2011 | 17 | |
| 12 | 2016 | 15 | |
| 13 | 2018 | 14 | |
| 14 | 2019 | 14 | |
| 15 | 2013 | 13 | |
| 16 | 2013 | 11 | |
| 17 | 2017 | 9 | |
| 18 | 2020 | 9 | |
| 19 | 2011 | 6 | |
| 20 | 1992 | 4 |
About Senka Pantic
Senka Pantic is a scholar working on Molecular Biology, Biophysics, Computer Vision and Pattern Recognition, Materials Chemistry and Pediatrics, Perinatology and Child Health, having authored 22 papers that have together received 624 indexed citations. Recurring topics across this work include Cell Image Analysis Techniques (6 papers), Fractal and DNA sequence analysis (4 papers), Gene expression and cancer classification (3 papers), Nanoparticles: synthesis and applications (3 papers), Medical Image Segmentation Techniques (2 papers), Digital Imaging for Blood Diseases (2 papers), Single-cell and spatial transcriptomics (2 papers) and Computational Drug Discovery Methods (2 papers). The work is most often cited by research in Biophysics (66 citations), Applied Psychology (52 citations), Communication (42 citations), Biological Psychiatry (11 citations) and Sociology and Political Science (186 citations). Senka Pantic has collaborated with scholars based in Serbia, Israel and Italy. Frequent co-authors include Igor Pantić, Siniša Ristić, Aleksandar Damjanović, Jovana Todorović, Jovana Paunović, Gordana Basta-Jovanović, Milan Perović, Sanja Peković, Sanja Đačić and Sanja Radojević Škodrić. Their work appears in journals such as Microscopy and Microanalysis, Journal of Microscopy, REVIEWS ON ADVANCED MATERIALS SCIENCE, Nephrology and Molecular Imaging and Biology.
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.