Maja Ivanić
Impact in
- Geochemistry and Petrology top 5%
- Geochemistry and Elemental Analysis
- Pollution top 10%
- Heavy metals in environment
Papers in
- Pollution 13
- Heavy metals in environment 11
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- Geochemistry and Elemental Analysis 7
- Groundwater and Isotope Geochemistry 3
- Co-authors
- Martina Furdek Turk (8 shared papers)Ivan Sondi (12 shared papers)Nevenka Mikac (12 shared papers)Željka Fiket (12 shared papers)Neda Vdović (11 shared papers)Goran Kniewald (7 shared papers)Srečo D. Škapin (4 shared papers)Gordana Medunić (4 shared papers)
In The Last Decade
Maja Ivanić
27 papers receiving 314 citations
Peers
Comparison fields: 5 of 59
- Geochemistry and Petrology 94
- Pollution 127
- Health, Toxicology and Mutagenesis 66
- Oceanography 42
- Radiological and Ultrasound Technology 12
Countries citing papers authored by Maja Ivanić
This map shows the geographic impact of Maja Ivanić'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 Maja Ivanić with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Maja Ivanić more than expected).
Fields of papers citing papers by Maja Ivanić
This network shows the impact of papers produced by Maja Ivanić. 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 Maja Ivanić. The network helps show where Maja Ivanić may publish in the future.
Co-authors
The 25 scholars most cited alongside Maja Ivanić, 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 30 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 26 | |
| 2 | 2018 | 24 | |
| 3 | 2017 | 24 | |
| 4 | 2015 | 23 | |
| 5 | 2020 | 20 | |
| 6 | 2017 | 20 | |
| 7 | 2016 | 19 | |
| 8 | 2021 | 18 | |
| 9 | 2020 | 17 | |
| 10 | 2015 | 17 | |
| 11 | 2022 | 14 | |
| 12 | 2018 | 14 | |
| 13 | 2018 | 14 | |
| 14 | 2022 | 9 | |
| 15 | 2013 | 9 | |
| 16 | 2023 | 8 | |
| 17 | 2025 | 8 | |
| 18 | 2019 | 5 | |
| 19 | 2018 | 5 | |
| 20 | 2018 | 4 |
About Maja Ivanić
Maja Ivanić is a scholar working on Pollution, Geochemistry and Petrology, Oceanography, Artificial Intelligence and Health, Toxicology and Mutagenesis, having authored 30 papers that have together received 317 indexed citations. Recurring topics across this work include Heavy metals in environment (11 papers), Marine and environmental studies (7 papers), Geochemistry and Elemental Analysis (7 papers), Geochemistry and Geologic Mapping (4 papers), Geology and Paleoclimatology Research (3 papers), Groundwater and Isotope Geochemistry (3 papers), Lichen and fungal ecology (2 papers) and Clay minerals and soil interactions (2 papers). The work is most often cited by research in Geochemistry and Petrology (94 citations), Pollution (127 citations), Health, Toxicology and Mutagenesis (66 citations), Oceanography (42 citations) and Radiological and Ultrasound Technology (12 citations). Maja Ivanić has collaborated with scholars based in Croatia, Slovenia and Germany. Frequent co-authors include Martina Furdek Turk, Ivan Sondi, Nevenka Mikac, Željka Fiket, Neda Vdović, Goran Kniewald, Srečo D. Škapin, Gordana Medunić, Goran Durn and Sonja Lojen. Their work appears in journals such as Chemosphere, Environmental Pollution, Marine Pollution Bulletin, Foods and Applied Surface Science.
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.