András Makó
Impact in
- Soil Science top 2%
- Soil Carbon and Nitrogen Dynamics
- Soil erosion and sediment transport
- Environmental Engineering top 2%
- Soil Geostatistics and Mapping
- Soil Moisture and Remote Sensing
- Groundwater flow and contamination studies
Papers in
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- Soil and Unsaturated Flow 32
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- Soil Geostatistics and Mapping 18
- Soil Moisture and Remote Sensing 10
- Groundwater flow and contamination studies 8
- Co-authors
- Brigitta Tóth (11 shared papers)Gergely Tóth (11 shared papers)Mélanie Weynants (2 shared papers)Attila Nemes (2 shared papers)G. Bilas (1 shared paper)Kálmán Rajkai (11 shared papers)Gyöngyi Barna (18 shared papers)Márk Rékási (7 shared papers)
In The Last Decade
András Makó
65 papers receiving 842 citations
Peers
Comparison fields: 5 of 88
- Soil Science 344
- Environmental Engineering 374
- Civil and Structural Engineering 380
- Geochemistry and Petrology 38
- Water Science and Technology 91
Countries citing papers authored by András Makó
This map shows the geographic impact of András Makó'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 András Makó with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites András Makó more than expected).
Fields of papers citing papers by András Makó
This network shows the impact of papers produced by András Makó. 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 András Makó. The network helps show where András Makó may publish in the future.
Co-authors
The 25 scholars most cited alongside András Makó, 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 67 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 219 | |
| 2 | 2019 | 77 | |
| 3 | 2012 | 53 | |
| 4 | 2017 | 46 | |
| 5 | 2022 | 41 | |
| 6 | 2012 | 38 | |
| 7 | 2010 | 31 | |
| 8 | 2012 | 26 | |
| 9 | 2013 | 24 | |
| 10 | 2019 | 23 | |
| 11 | 2020 | 20 | |
| 12 | 2010 | 19 | |
| 13 | 2015 | 17 | |
| 14 | 2019 | 16 | |
| 15 | 2007 | 16 | |
| 16 | 2023 | 11 | |
| 17 | 2014 | 11 | |
| 18 | 2008 | 10 | |
| 19 | 2019 | 10 | |
| 20 | 2006 | 10 |
About András Makó
András Makó is a scholar working on Civil and Structural Engineering, Environmental Engineering, Soil Science, Environmental Chemistry and Industrial and Manufacturing Engineering, having authored 67 papers that have together received 874 indexed citations. Recurring topics across this work include Soil and Unsaturated Flow (32 papers), Soil Carbon and Nitrogen Dynamics (19 papers), Soil Geostatistics and Mapping (18 papers), Soil Moisture and Remote Sensing (10 papers), Soil erosion and sediment transport (9 papers), Groundwater flow and contamination studies (8 papers), Crop Yield and Soil Fertility (5 papers) and Soil Management and Crop Yield (5 papers). The work is most often cited by research in Soil Science (344 citations), Environmental Engineering (374 citations), Civil and Structural Engineering (380 citations), Geochemistry and Petrology (38 citations) and Water Science and Technology (91 citations). András Makó has collaborated with scholars based in Hungary, Italy and Norway. Frequent co-authors include Brigitta Tóth, Gergely Tóth, Mélanie Weynants, Attila Nemes, G. Bilas, Kálmán Rajkai, Gyöngyi Barna, Márk Rékási, Nikolett Uzinger and Gábor Szatmári. Their work appears in journals such as Geoderma, International Agrophysics, Hungarian Geographical Bulletin, Journal of Maps and European Journal of Soil 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.