Maja Matetić
Impact in
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- Online Learning and Analytics
- Food Science top 10%
- Food Supply Chain Traceability
- Food Waste Reduction and Sustainability
Papers in
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- Natural Language Processing Techniques 9
- Speech and dialogue systems 4
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- Online Learning and Analytics 13
- Co-authors
- Marija Brkić Bakarić (32 shared papers)Tomislav Jemrić (7 shared papers)Xiaoshuan Zhang (3 shared papers)Xiang Wang (2 shared papers)Qile He (1 shared paper)Zhigang Li (1 shared paper)Xinqing Xiao (1 shared paper)Huijuan Zhou (1 shared paper)
- Journals
- Applied Sciences (4 papers)International Journal of Emerging Technologies in Learning (iJET) (3 papers)Electronics (2 papers)Applied Intelligence (1 paper)Materials Today Sustainability (1 paper)
- Partner nations
- CroatiaChinaUnited Kingdom
In The Last Decade
Maja Matetić
37 papers receiving 323 citations
Peers
Comparison fields: 5 of 84
- Computer Science Applications 67
- Food Science 71
- Analytical Chemistry 25
- Health Informatics 3
- Artificial Intelligence 68
Countries citing papers authored by Maja Matetić
This map shows the geographic impact of Maja Matetić'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 Matetić with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Maja Matetić more than expected).
Fields of papers citing papers by Maja Matetić
This network shows the impact of papers produced by Maja Matetić. 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 Matetić. The network helps show where Maja Matetić may publish in the future.
Co-authors
The 25 scholars most cited alongside Maja Matetić, 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 44 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 43 | |
| 2 | 2017 | 33 | |
| 3 | 2017 | 30 | |
| 4 | 2020 | 25 | |
| 5 | 2024 | 19 | |
| 6 | 2018 | 15 | |
| 7 | 2023 | 15 | |
| 8 | 2015 | 14 | |
| 9 | 2016 | 14 | |
| 10 | 2022 | 12 | |
| 11 | 2021 | 11 | |
| 12 | 2019 | 10 | |
| 13 | 2024 | 9 | |
| 14 | 2021 | 9 | |
| 15 | 2020 | 8 | |
| 16 | 2020 | 8 | |
| 17 | 2022 | 7 | |
| 18 | 2021 | 6 | |
| 19 | 2015 | 6 | |
| 20 | 2018 | 5 |
About Maja Matetić
Maja Matetić is a scholar working on Artificial Intelligence, Computer Science Applications, Information Systems, Plant Science and Computer Networks and Communications, having authored 44 papers that have together received 335 indexed citations. Recurring topics across this work include Online Learning and Analytics (13 papers), Natural Language Processing Techniques (9 papers), Plant Physiology and Cultivation Studies (6 papers), Postharvest Quality and Shelf Life Management (5 papers), Advanced Chemical Sensor Technologies (5 papers), Speech and dialogue systems (4 papers), Food Supply Chain Traceability (4 papers) and Software System Performance and Reliability (4 papers). The work is most often cited by research in Computer Science Applications (67 citations), Food Science (71 citations), Analytical Chemistry (25 citations), Health Informatics (3 citations) and Artificial Intelligence (68 citations). Maja Matetić has collaborated with scholars based in Croatia, China and United Kingdom. Frequent co-authors include Marija Brkić Bakarić, Tomislav Jemrić, Xiaoshuan Zhang, Xiang Wang, Qile He, Zhigang Li, Xinqing Xiao, Huijuan Zhou, Guoxiang Zhang and Marko Vuković. Their work appears in journals such as Applied Sciences, International Journal of Emerging Technologies in Learning (iJET), Electronics, Applied Intelligence and Materials Today Sustainability.
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.