Gábor Milics
Impact in
- Soil Science top 10%
- Soil Carbon and Nitrogen Dynamics
- Soil Management and Crop Yield
- Environmental Engineering top 10%
- Soil Moisture and Remote Sensing
- Soil Geostatistics and Mapping
Papers in
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- Smart Agriculture and AI 8
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- Crop Yield and Soil Fertility 10
- Co-authors
- Miklós Neményi (17 shared papers)Attila Kovács (14 shared papers)Anikó Nyéki (6 shared papers)Endre Harsányi (1 shared paper)Csaba Kerepesi (2 shared papers)András A. Benczúr (2 shared papers)Zoltán Varga (4 shared papers)Ákos Bede‐Fazekas (2 shared papers)
- Journals
- Journal of Hydrology and Hydromechanics (4 papers)Precision Agriculture (2 papers)Drones (2 papers)Remote Sensing (2 papers)Applied Economic Perspectives and Policy (1 paper)
- Partner nations
- HungarySlovakiaSwitzerland
In The Last Decade
Gábor Milics
41 papers receiving 318 citations
Peers
Comparison fields: 5 of 76
- Soil Science 70
- Environmental Engineering 73
- Agronomy and Crop Science 43
- Plant Science 123
- Civil and Structural Engineering 60
Countries citing papers authored by Gábor Milics
This map shows the geographic impact of Gábor Milics'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 Gábor Milics with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gábor Milics more than expected).
Fields of papers citing papers by Gábor Milics
This network shows the impact of papers produced by Gábor Milics. 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 Gábor Milics. The network helps show where Gábor Milics may publish in the future.
Co-authors
The 25 scholars most cited alongside Gábor Milics, 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 42 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 41 | |
| 2 | 2021 | 36 | |
| 3 | 2021 | 34 | |
| 4 | 2022 | 28 | |
| 5 | 2006 | 28 | |
| 6 | 2024 | 20 | |
| 7 | 2016 | 17 | |
| 8 | 2013 | 15 | |
| 9 | 2019 | 9 | |
| 10 | 2014 | 9 | |
| 11 | 2022 | 8 | |
| 12 | 2018 | 7 | |
| 13 | 2022 | 6 | |
| 14 | 2007 | 6 | |
| 15 | 2017 | 6 | |
| 16 | 2020 | 5 | |
| 17 | 2024 | 4 | |
| 18 | 2022 | 4 | |
| 19 | 2023 | 4 | |
| 20 | 2007 | 4 |
About Gábor Milics
Gábor Milics is a scholar working on Plant Science, Agronomy and Crop Science, Environmental Engineering, Soil Science and Ecology, having authored 42 papers that have together received 329 indexed citations. Recurring topics across this work include Crop Yield and Soil Fertility (10 papers), Smart Agriculture and AI (8 papers), Spectroscopy and Chemometric Analyses (5 papers), Soil Geostatistics and Mapping (5 papers), Soil Moisture and Remote Sensing (4 papers), Remote Sensing in Agriculture (4 papers), Soil Carbon and Nitrogen Dynamics (4 papers) and Soil Management and Crop Yield (2 papers). The work is most often cited by research in Soil Science (70 citations), Environmental Engineering (73 citations), Agronomy and Crop Science (43 citations), Plant Science (123 citations) and Civil and Structural Engineering (60 citations). Gábor Milics has collaborated with scholars based in Hungary, Slovakia and Switzerland. Frequent co-authors include Miklós Neményi, Attila Kovács, Anikó Nyéki, Endre Harsányi, Csaba Kerepesi, András A. Benczúr, Zoltán Varga, Ákos Bede‐Fazekas, Bálint Daróczy and János Nagy. Their work appears in journals such as Journal of Hydrology and Hydromechanics, Precision Agriculture, Drones, Remote Sensing and Applied Economic Perspectives and Policy.
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.