Tímea Ignát
Impact in
- Analytical Chemistry top 1%
- Spectroscopy and Chemometric Analyses
- Plant Science top 5%
- Smart Agriculture and AI
- Leaf Properties and Growth Measurement
- Postharvest Quality and Shelf Life Management
- Plant Physiology and Cultivation Studies
Papers in
-
- Spectroscopy and Chemometric Analyses 13
-
- Postharvest Quality and Shelf Life Management 4
- Smart Agriculture and AI 3
- Co-authors
- Ze’ev Schmilovitch (9 shared papers)V. Alchanatis (7 shared papers)Aviv Dombrovsky (3 shared papers)Avital Bechar (3 shared papers)Sigal Berman (3 shared papers)Yigal Elad (3 shared papers)V. Ostrovsky (3 shared papers)Susan Lurie (2 shared papers)
In The Last Decade
Tímea Ignát
22 papers receiving 608 citations
Peers
Comparison fields: 5 of 67
- Analytical Chemistry 301
- Plant Science 384
- Biophysics 43
- Industrial and Manufacturing Engineering 62
- Biochemistry 41
Countries citing papers authored by Tímea Ignát
This map shows the geographic impact of Tímea Ignát'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 Tímea Ignát with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tímea Ignát more than expected).
Fields of papers citing papers by Tímea Ignát
This network shows the impact of papers produced by Tímea Ignát. 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 Tímea Ignát. The network helps show where Tímea Ignát may publish in the future.
Co-authors
The 25 scholars most cited alongside Tímea Ignát, 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 23 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 119 | |
| 2 | 2012 | 58 | |
| 3 | 2012 | 52 | |
| 4 | 2014 | 51 | |
| 5 | 2019 | 51 | |
| 6 | 2012 | 51 | |
| 7 | 2013 | 48 | |
| 8 | 2013 | 45 | |
| 9 | 2017 | 42 | |
| 10 | 2017 | 31 | |
| 11 | 2014 | 30 | |
| 12 | 2022 | 18 | |
| 13 | 2021 | 10 | |
| 14 | 2019 | 9 | |
| 15 | 2021 | 8 | |
| 16 | 2015 | 6 | |
| 17 | 2010 | 5 | |
| 18 | 2016 | 5 | |
| 19 | 2020 | 3 | |
| 20 | Non-destructive methods for determination of quality attributes of bell peppers | 2012 | 2 |
About Tímea Ignát
Tímea Ignát is a scholar working on Analytical Chemistry, Plant Science, Industrial and Manufacturing Engineering, Food Science and Biomedical Engineering, having authored 23 papers that have together received 647 indexed citations. Recurring topics across this work include Spectroscopy and Chemometric Analyses (13 papers), Advanced Chemical Sensor Technologies (5 papers), Postharvest Quality and Shelf Life Management (4 papers), Remote Sensing in Agriculture (3 papers), Water Quality Monitoring and Analysis (3 papers), Smart Agriculture and AI (3 papers), Wastewater Treatment and Reuse (2 papers) and Food Drying and Modeling (2 papers). The work is most often cited by research in Analytical Chemistry (301 citations), Plant Science (384 citations), Biophysics (43 citations), Industrial and Manufacturing Engineering (62 citations) and Biochemistry (41 citations). Tímea Ignát has collaborated with scholars based in Israel, Hungary and China. Frequent co-authors include Ze’ev Schmilovitch, V. Alchanatis, Aviv Dombrovsky, Avital Bechar, Sigal Berman, Yigal Elad, V. Ostrovsky, Susan Lurie, Haya Friedman and Asya Weksler. Their work appears in journals such as Biosystems Engineering, Postharvest Biology and Technology, IEEE Robotics and Automation Letters, Frontiers in Plant Science and Agricultural and Forest Meteorology.
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.